Theranostics 2020; 10(4):1923-1947. doi:10.7150/thno.39915 This issue


Nanoparticle-based Cell Trackers for Biomedical Applications

Jen-Shyang Ni1,2#, Yaxi Li1,3#, Wentong Yue1, Bin Liu4 Corresponding address, Kai Li1 Corresponding address

1. Department of Biomedical Engineering, Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
2. HKUST-Shenzhen Research Institute, Shenzhen 518057, China
3. School of Life Science and Technology, Harbin Institute of Technology, Harbin 150080, China
4. Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore
#These authors contribute equally.

This is an open access article distributed under the terms of the Creative Commons Attribution License ( See for full terms and conditions.
Ni JS, Li Y, Yue W, Liu B, Li K. Nanoparticle-based Cell Trackers for Biomedical Applications. Theranostics 2020; 10(4):1923-1947. doi:10.7150/thno.39915. Available from

File import instruction


Graphic abstract

The continuous or real-time tracking of biological processes using biocompatible contrast agents over a certain period of time is vital for precise diagnosis and treatment, such as monitoring tissue regeneration after stem cell transplantation, understanding the genesis, development, invasion and metastasis of cancer and so on. The rationally designed nanoparticles, including aggregation-induced emission (AIE) dots, inorganic quantum dots (QDs), nanodiamonds, superparamagnetic iron oxide nanoparticles (SPIONs), and semiconducting polymer nanoparticles (SPNs), have been explored to meet this urgent need. In this review, the development and application of these nanoparticle-based cell trackers for a variety of imaging technologies, including fluorescence imaging, photoacoustic imaging, magnetic resonance imaging, magnetic particle imaging, positron emission tomography and single photon emission computing tomography are discussed in detail. Moreover, the further therapeutic treatments using multi-functional trackers endowed with photodynamic and photothermal modalities are also introduced to provide a comprehensive perspective in this promising research field.

Keywords: aggregation-induced emission, bioimaging, cell tracking, semiconducting polymer, therapy


Continuous in vivo cell tracking over a long period of time can offer valuable information in detail regarding cellular processes and biomedical therapies [1-3]. A variety of biomedical imaging techniques, including positron emission tomography (PET) [4-6], single photon emission computing tomography (SPECT) [7], magnetic resonance imaging (MRI) [1,8-10], magnetic particle imaging (MPI) [11-13], photoacoustic (PA) imaging [14-18] and fluorescence imaging [19-25], have been explored for such applications from bench side to bedside [3]. As such, the invention of versatile contrast agents as long-term cell trackers to monitor the target at least over several weeks is of high importance in translational research. Currently, two major categories of cell labeling strategies, direct labeling and indirect labeling, have been implemented in practice. Each strategy has its own advantages and disadvantages. In general, direct labeling approach enjoys the advantages of easy preparation, high labeling efficiency, and abundant availability of exogenous contrast agents, while indirect labeling strategy involving genetic modification can afford permanent cell tagging. Among them, bioluminescence, a natural light source based on luciferase catalysis oxidation of its luciferin substrate, is a typical and most well-adapted indirect labeling technology.

 Figure 1 

(A) Chemical structures of D-luciferin and AkaLumine. (B) Bioluminescence imaging of four mixtures of substrate (100 mM) and enzyme (2 mg mL‒1; Fluc: firefly luciferase; Akaluc, screened from Fluc-based library). (C) Analysis of single-cell and sparse-cell AkaBLI of implanted tumorigenic cells trapped in mouse lung. (D) Chronic video-rate AkaBLI of brain striatal neurons in a common marmoset. (E) Quantified bioluminescence signals against time after injection. Reprinted with permission from [27], copyright 2018 American Association for the Advancement of Science.

Theranostics Image

(View in new window)

Luciferase catalyzes the oxidization of luciferin by intramolecular oxygen, leading to oxyluciferin molecule in the excited state. After emitting in the excited state, the molecule reduces back to luciferin substrate. This technique has shown promising potentials in a wide range of in vitro and in vivo applications, including immunoassays, gene expression analyses, drug screening, bioimaging of living systems, as well as diagnosis and microenvironmental monitoring of tumors [26]. Bioluminescence does not need external light irradiation, which helps avoid interference from background fluorescence and biological auto-fluorescence signals during imaging. Thus, bioluminescence-based methods are extremely sensitive to provide good spatial resolution in a wide dynamic range. Inspired by the unique property of bioluminescence, Miyawaki et al. designed a bioluminescence imaging system (named AkaBLI) that produces in vivo emission signals 100 to 1000-fold brighter as compared with conventional technology (Figure 1) [27]. They recorded video-rate bioluminescent signals from neurons in the striatum, a deep brain area, for more than a year. This study indicates that the red-emissive and highly deliverable luciferin analog (AkaBLI) can serve as a bioengineered light source to motivate unidentified scientific, medical, and engineering applications. Advances in bioluminescence imaging methods allowed researchers to measure tumor growth, visualize growing processes, and track cell-cell interactions [28,29].

Nevertheless, many challenges and limitations still exist in bioluminescence imaging technology. For example, the imaging requires highly sensitive CCD lens and unstable bioluminescence suffers from signal decay. In addition, long detection time due to their weak signals, high cost owing to the repeated luciferin injection from time to time, and the risk of transgenic markers transfecting on cells, genes, or antibodies are all of major concerns that impede their progress in translational research. On the other hand, green fluorescent protein (GFP) and its variants, another major category of genetic cell tagging in indirect labeling strategies, are restricted by their poor photostability, inherent susceptibility to enzymes and interference from bio-substrate autofluorescence [30,31]. Alternatively, exploration of exogenous contrast agents, such as nanoparticle (NP)-based cell trackers, for biomedical and/or preclinical investigation has attracted a broad research interest. For now, several nanoparticles, including superparamagnetic iron oxide NPs (SPIONs), carbon NPs, silver NPs and CdS/ZnS quantum dots, have been tested in the clinical trials (Table 1). Therein, SPIONs for MRI-guiding pancreatic cancer and silver NPs-based central venous catheters for catheter related infections have been completed in phase 4 clinical trials. This indicates that the preclinical development and exploration of NP-based trackers or agents are of great importance. In this review, we thus mainly focus on the recent research and application of NP-based direct labeling strategy for long-term cell-tracking of biomedical progress. Their potential theranostic applications are also briefly discussed to inspire the future exploration of multi-functional cell trackers.

 Table 1 

Progress of biomedical nanoparticles (NPs) in the clinical trials.a

Study title / Diseases / Used nanoparticlesProgress / Locations
Pre-operative staging of pancreatic cancer using superparamagnetic iron oxide magnetic resonance imaging (SPIO MRI) / Pancreatic cancer / SPIONPsPhase 4 (Completed)b / Massachusetts, US
Comparison of central venous catheters with silver nanoparticles versus conventional catheters central venous / Catheter related infections / Silver NPs (AgTive®)Phase 4 (Completed) / ICU Rome, Italy
Clinical study on the harvesting lymph nodes with carbon nanoparticles for advanced gastric cancer / Advanced gastric cancer / Carbon NPsPhase 3 (Unknown)c / Beijing, China
Multi-modality imaging (PCa) / prostate cancer, adenocarcinoma and neoplasm / [F-18]-DCFPyL injection (PET/MRI)Phase 2 (Not recruiting)d / Ontario, Canada
Topical fluorescent nanoparticles conjugated somatostatin analog for suppression and bioimaging breast cancer / Breast cancer, skin cancer and diseases / CdS/ZnS core-shell type quantum dots coated with veldoreotidePhase 1 (Recruiting)e / Qassim, Saudi Arabia

a This information is acquired from

b Completed: The study has ended normally, and participants are no longer being examined or treated.

c Unknown: The study has passed its completion date, and the status has not been last verified within the past 2 years.

d Not recruiting: The study has not started recruiting participants.

e Recruiting: The study is currently recruiting participants.

Nanoparticles for long-term cell tracking

Cell tracking via magnetic resonance imaging (MRI)

Magnetic resonance imaging (MRI) offers much higher spatial resolution (50 μm) than bioluminescence imaging, which allows in vivo cell tracking combined with detailed anatomical information of individual organs [1]. To date, iron oxide NPs (IONs) [32,33], gadolinium (Gd)-based NPs [34], manganese (Mn)-based NPs [6,35], 19F-based NPs [8,36,37] and SPIONs [13,38-41] have served as MRI contrast agents to show promising results for in vivo cell tracking. These contrast agents have exhibited good biocompatibility and effectiveness, high spatial resolution, desired penetration depth and non-ionizing radiation [42].

Recently, Ashraf et al. labeled mouse bone marrow-derived mesenchymal stem cells (MSCs) with SPIONs encapsulated by polyelectrolyte multilayers. At a low feeding concentration (100 μg Fe mL-1), the encapsulated SPIONs served as an efficient labeling agent for stem cells, which had a 2-fold higher uptake efficiency of Fe in comparison with that labeled with bare SPIONs (Figure 2A) [39]. The bio-distribution after intra-cardiac injection of labeled cells was monitored longitudinally by MRI. Through 2 weeks of in vivo tracking, the particles released from dead cells mainly accumulated in liver and spleen without complete clearance. To further enhance the cellular uptake and biocompatibility, Rivas et al. used glucosamine to modify polyacrylic acid (PAA)-coated ultrasmall iron oxide nanoparticles (USPIO-PAA-GlcN) [43] and label MSCs for tracking by MRI, while PAA-coated SPIONs (SPIONs-PAA) and PAA-coated USPIONs (USPIONs-PAA) were used for comparison (Figure 2B) [2]. After incubation with MSCs, the SPIONs-PAA were only found in a portion of cells with nonuniform distribution due to their severe aggregation behavior in cell culture medium. On the other hand, USPIONs-PAA showed good in vitro colloidal stability but low intracellular internalization efficiency. By contrast, USPIO-PAA-GlcN displayed good biocompatibility, high cellular uptake (56.5 pg Fe/cell) and excellent sensitivity in both in vitro and in vivo MRI experiments, showing promises as a labeling agent for cell tracking applications in animal models of cerebral ischemia [44,45]. Lately, Daldrup-Link et al. utilized ferumoxytol-labeled matrix-associated stem cell implants (MASIs) to predict cartilage repair outcomes with MRI in a minipig model. The ferumoxytol-labeled MASIs showed significant T2 shortening compared with unlabeled MASIs (22.2 msec ± 3.2 vs 27.9 msec ± 1.8; P < 0.001), facilitating MR imaging of the MASI upon transplantation in cartilage defects. In addition, ferumoxytol-labeled apoptotic MASIs showed a higher T2 relaxation time compared with the labeled viable MASIs 2 weeks post implantation (26.6 msec ± 4.9 vs 20.8 msec ± 5.3; P = 0.001) due to the rapid iron loss post cell death. Correspondingly, standard MRI showed incomplete cartilage defect repair in the apoptotic MASI-treated group at 24 weeks. These results suggested that the commercial ferumoxytol as MR trackers can facilitate early diagnosis of failed MASIs within 2 weeks in a large-animal model [46]. In addition to single-modality imaging applications, MRI synergized with PET or fluorescence imaging modalities have great potentials for dual-/multi-modality tracking to provide more comprehensive biological information, especially in translational research and clinical practice [6,36].

Cell tracking via magnetic particle imaging (MPI)

Over the last decade, magnetic particle imaging (MPI) has been an emerging imaging approach with near-ideal image contrast, penetration depth and robustness to image IONs-labeled cells in vivo. Especially, it has shown ultra-sensitive and linearly quantitative imaging in practice. As compared to MRI, MPI only requires non-ionizing and low frequency magnetic fields that are safer for clinical translation. In 2016, Zheng et al. used MPI technique to dynamically monitor and quantify the biodistribution of human mesenchymal stem cells (hMSCs) labeled by SPIONs (Figure 3) [47]. They first demonstrated that the MPI signal was not significantly dependent on surrounding tissue depth and hence can be clinically translatable for applications in molecular imaging (Figure 3B). After tail vein injection, the labeled hMSCs were immediately entrapped in lung tissues with the Fe concentration of ~52 ng Fe mm‒3, and then migrated to the liver within one day. In stark contrast, the standard SPIONs upon tail vein injection were directly taken up by liver and spleen (Figure 3C) [48,49]. Through monitoring in vivo distribution and clearance of labeled hMSCs over a period of 12 days, they obtained a gradual decay of MPI signal in liver with a half-life of 4.6 days and 95% confidence intervals between 3.7 and 6.0 days (Figure 3D).

 Figure 2 

(A) Diagram of labeling mouse bone marrow derived mesenchymal stem cells (mMSCs) with free and encapsulated SPIONs, and internalization of free and encapsulated SPIONs versus the feeding concentration for cell labeling, determined from ferrozine assay. Reprinted with permission from [39], copyright 2019 Royal Society of Chemistry. (B) Prussian blue staining of MSCs incubated with SPIONs-PAA, USPIONs-PAA, and USPIONs-PAA-GlcN NPs, respectively, in the presence or absence of polylysine (PLL) at 100 μg Fe mL-1 over 24 h at 37 °C, and representative T2- and T2*-weighted MRI of a healthy rat injected intra-arterially with USPIONs-PAA-GlcN-labeled MSCs at different time points. Reprinted with permission from [2], copyright 2017 American Chemical Society.

Theranostics Image

(View in new window)

To further improve MPI performance, Rao et al. utilized a semiconducting polymer (SP; PFODBT) and IONs to produce Janus NPs with an average size of 27 nm in diameter, which showed both magnetic and optical properties in MPI and fluorescence imaging (Figure 4A) [12]. At the same Fe concentration, MPI signal of the Janus NPs showed a 3-fold and 7-fold enhancement as compared to that of the commercial MPI tracker (Vivotrax) and MRI contrast agent (Feraheme), respectively. During in vivo tumor-growth tracking, fluorescence and MPI signals only decreased by 20% from day 10 to day 20 post-implantation (Figure 4B and C). These results indicate that MPI can allow imaging of the magnetic tracers in deep tissues with an outstanding linearity between tracer amount and signal intensity for quantitative detection. Recently, they developed a NIR-emissive Janus NPs (MMPF NPs) serving as magneto-optical multimodal nanoplatform to image xenografted tumors in living mice [50]. MMPF NPs with an average diameter of 42 nm by TEM possessed a long-term blood circulation time (49 h of half-life) and high tumor uptake efficiency (18% ID/g), leading to high tumor to normal tissue contrast in subcutaneous and orthotopic tumor models. Interestingly, using MPI technique, they observed the disappeared NPs signal in the liver upon day 14 post injection and the visible signal in the spleen after day 85. Among the existing molecular imaging modalities, MPI shows a unique combination of high sensitivity, quantitative accuracy, and longitudinal monitoring in long-term cell tracking study. As such, the multi-modal technology combining MRI, PA and fluorescence imaging can simultaneously enhance the detecting and tracking accuracy, which will further promote the development of preclinical and/or clinical cell therapies [11,13].

Cell tracking via fluorescence imaging

In comparison with the traditional fluorescent probes such as endogenous biomolecules and fluorescent proteins, fluorescent NPs exist unique advantages of higher brightness, tunable fluorescence and better photobleaching resistance [51]. In this section, we focus on a series of fluorescent NPs [52] for cell tracking, including inorganic quantum dots (QDs) [53,54], nanodiamonds [55,56], and organic NPs [51,57]. For organic NPs, we emphasize on aggregation-induced emission (AIE) dots [57-59] and semiconducting polymer nanoparticles (SPNs) [60-62] as cell trackers, resulting from their excellent photostability, long-term cell tracking ability, and good biocompatibility [63-65].

 Figure 3 

(A) Comparison of MPI/CT, fluorescence imaging, and MRI in mouse. (B) Quantitative comparison of MPI and fluorescent signal in different tissue depths. (C) MPI/CT imaging of mice intravenously injected with hMSCs, SPIONs, and saline. (D) MPI quantification of in vivo SPIONs clearance upon hMSCs injections. Reprinted with permission from [47], copyright 2016 Ivyspring.

Theranostics Image

(View in new window)

Inorganic quantum dots: QDs

Quantum dots (QDs) are a class of inorganic semiconductor nanocrystals with unique photophysical properties, including long fluorescence lifetime, high fluorescence quantum yield, and excellent photostability [66-68]. However, traditional inorganic QDs have shown inherent limitations such as high toxicity and short circulation time [69]. For instance, a study has reported that QDs could induce abnormalities during embryo development [70] or depolarize mitochondria membranes to cause potential cytotoxicity [71]. In addition, QDs encapsulated by exotic polymer materials have been reported to cause inevitable immune response [72], while QDs modified by biomacromolecules such as proteins and genes led to drug tolerance and systematic toxicity [73]. To address this critical issue, series of novel QDs, such as silver sulfide (Ag2S) [54,74-77], silver selenide (Ag2Se) [78], and lead sulfide (PbS) [79,80] QDs, have been explored for a variety of biomedical applications including cell tracking [53,81-83]. Among these QDs, Ag2S QDs have been most successfully used for cell tracking due to their superior photostability and high quantum yields in the second near-infrared (NIR-II) window [53,66,84]. Wang et al. encapsulated an Ag2S QD with fluorescence in the NIR-II window (1000-1700 nm) with protein nanocages (PNCs), using simian virus 40 (SV40) PNC (PNCSV40) as a model, to monitor the in vivo behaviors of PNCs [54,74]. Benefiting from the high spatiotemporal resolution and deep tissue penetration of NIR-II fluorescence imaging [85], the dynamic in vivo distribution of PNCSV40 in living mice was tracked in a real time manner [54]. Besides, they successfully used Ag2S QD-labeled hMSCs to continuously monitor the fluorescence signal in animals up to 30 days [76]. The in vivo NIR-II imaging clearly revealed the heparin-facilitated translocation of hMSCs from lung to liver and the long-term retention of hMSCs in the liver for treatment of liver failure [76]. Furthermore, they used Ag2S QDs to monitor lymphatic drainage and vascular networks with high spatial resolution, and track angiogenesis mediated by a tiny tumor in vivo [75]. Soon afterwards, Achilefu et al. conjugated a tumor-avid cyclic pentapeptide (Arg-Gly-Asp-DPhe-Lys, cRGDfk) to ultra-small Ag2S QDs (named cRGDfK-Ag2S QDs; Figure 5A) with tunable light emission from 500 to 1200 nm and a hydrodynamic diameter below 10 nm [86]. Compared with the non-conjugated ones, the water-soluble cRGDfK-Ag2S QDs showed selective integrin-mediated internalization in cancer cells (Figure 5B). From in vivo and ex vivo fluorescence images (Figure 5C and D), an exceptionally high tumor-to-liver uptake ratio can be observed 24 h post injection, indicating that cRGDfK-Ag2S QDs had high targeting ability to the αvβ3 integrin receptors to promote their accumulation in tumor tissues via receptor-mediated endocytosis [87]. As a result, such cRGDfK-Ag2S QDs provide an efficient approach to construct nanoplatforms that are able to selectively target disease biomarkers in living organisms [86,88].

In regenerative medicine, promoted differentiation of the transplanted stem cells can facilitate the overall healing progresses. To address this issue, Bain et al. developed a QD-based multifunctional NP (RGD-β-CD-QDs) with an average diameter of 4~5 nm [89]. Its compact size facilitates the cellular uptake of QDs and further delivers the hydrophobic osteogenic dexamethasone and siRNA into the stem cells to enhance their osteogenesis differentiation. Moreover, the in vivo fluorescent signal of the RGD-β-CD-QDs labeled hMSCs could be observed on day 21 post implantation. These results clearly evidence that such functional QD-based trackers can provide a powerful tool to simultaneously enhance differentiation and long-term tracking of hMSCs in vitro and in vivo. Besides QDs, the same group also reported a multifunctional nanocarrier based on inorganic upconversion nanoparticles for controlled differentiation and long-term tracking of hMSCs. Upon exposure of NIR light, the emission in UV region leads to photocleavage of the photocaged linker and intracellular release of differentiation-inducing kartogenin, which further triggered chondrogenic differentiation of hMSCs for promoted neocartilage formation in vivo [90,91].

 Figure 4 

(A) Schematic illustration of the preparation of Janus nanoparticles through nanoprecipitation. (B) Longitudinal fluorescence images of a representative mouse at different time points (λex: 540 nm; λem: 680 nm), and their quantification of fluorescence signals (%) for tumor areas versus post implantation time, normalized to the value of day 10 post-implantation. (C) Longitudinal two-dimensional projection MPI images of a representative mouse, and their quantification of MPI signals (%) for tumor areas versus post implantation time, normalized to the value of day 10 post-implantation. Reprinted with permission from [12], copyright 2018 American Chemical Society.

Theranostics Image

(View in new window)

 Figure 5 

(A) Schematic illustration of the cRGDfK-Ag2S QDs. (B) Evaluation of internalization of QDs in 4T1luc cells at different time points. (C) Representative in vivo fluorescence imaging of cRGDfK-Ag2S in 4T1luc tumor-bearing Balb/c mouse after intravenous administration. The circles indicate bilateral subcutaneous tumor locations. (D) Representative ex vivo fluorescence image of organ tissues from 4T1luc bilateral tumor bearing mice 24 h post injection. Reprinted with permission from [86], copyright 2015 American Chemical Society.

Theranostics Image

(View in new window)

Organic material-based nanoparticles

As compared to QDs, organic material-based NPs with nontoxic luminogens are potential alternatives for in vivo cell tracking tasks due to their excellent biocompatibility and comparable fluorescent stability [92-94]. However, most organic luminogens face the challenge of aggregation caused quenching (ACQ) due to π-π stacking of hydrophobic organic dyes in aqueous media [95], which is a main obstacle in construction of high-performance fluorescent nanoparticles. Opposing to the ACQ effect, luminogens with aggregation-induced emission (AIE) characteristics exhibit bright fluorescence in aggregate state and weak fluorescence in molecular state [25,96-99]. With the discovery of AIE effect, organic luminogens have been held up to a new level in biomedical application, especially in cell imaging and tracking [21,100-104]. Recently, Tang et al. synthesized an AIEgen (BPN-BBTD) and prepared its NPs through encapsulation in amphiphilic Pluronic F-127 [105]. The BPN-BBTD NPs showed a broad emission spectrum covering 800 to 1300 nm with a QY (~1.8%) in the second near-infrared (NIR-II) window (>1000 nm), and a photothermal conversion efficiency of 39.8% under a 785 nm laser irradiation (Figure 6). Upon tail vein injection of NPs, the capillary with a small diameter of ~0.37 mm can be detected through NIR-II fluorescence imaging with a high spatial resolution. The NPs can preferably accumulate in tumor sites 24 h post intravenous injection in the subcutaneous and orthotopic bladder tumor-bearing mice, allowing effective photothermal ablation of tumors upon 785 nm laser irradiation (0.6 W cm-2). Noteworthy is that the intense and stable NIR-II fluorescence of BPN-BBTD NPs can ensure long-term tracking of bladder tumors for 32 days without any abnormalities or lesions in the main organs.

In addition to AIEgens, semiconducting polymers (SPs) represent another category of materials for synthesis of advanced fluorescent NPs. Their good photostability and large absorption cross-section will greatly benefit long-term biological studies. In this contribution, Li et al. used SP-based NPs (Tat-PFBD) as noninvasive fluorescent trackers with high brightness and low cytotoxicity for in vivo cell tracking to reveal the mechanism of transplanted MSCs in promoting skin regeneration [64,106,107]. The obtained Tat-PFBD NPs had an average size of 37 nm in water, showing an emission maximum at 583 nm with a quantum yield of 42%. The arithmetic average number of emitted photons from each individual Tat-PFBD NP was determined to be 9.72 × 105 counts per 100 s, which can promote the real-time single dot tracking and long-term bioimaging applications. After continuous incubation at 37 °C in Dulbecco's modified Eagle's medium, the fluorescence intensity of Tat-PFBD NPs remained above 90% after 35 days, whereas that of the most widely used commercial QD-based tracker (Qtracker® 585) dropped to only 10% after 9 days. Moreover, Tat-PFBD showed significantly higher labeling efficiency and better long-term tracking ability without compromising the features of MSCs in terms of proliferation, migration, differentiation, and secretum. As a result, Tat-PFBD NPs showed an excellent in vivo tracking for 21 days (Figure 7), revealing that the transplanted MSCs can promote skin regeneration mainly through paracrine signaling effect. Besides, they also realized far-red-absorbing and NIR-emissive PIDT-DBT-Tat NPs to monitor orthotopic liver tumor growth for more than 27 days in a real-time manner [108]. Through both in vitro and in vivo results, PIDT-DBT-Tat NPs as fluorescent probes showed better performance as compared to commercial QD tracker (Qtracker® 705), whose fluorescent signal disappeared at day 6 in the orthotopic liver tumor growth study.

 Figure 6 

(A) Schematic illustration of BPN-BBTD NPs. (B) Absorption and PL spectra of BPN-BBTD NPs in aqueous dispersion. (C) NIR-I (λex: 700 nm) and NIR-II (λex: 785 nm) fluorescence images of the nude mice intravenously injected with aqueous dispersion of BPN-BBTD NPs 15 min post-treatment. (D) A cross-sectional fluorescence intensity profile (blue) along the white line in the treated mouse in the inset of panel (C). (E) Representative time-dependent in vivo NIR-II fluorescence images of subcutaneous and orthotopic bladder-tumor-bearing mice treated with BPN-BBTD NPs at a dose of 1 mg mL-1 (200 μL; λex: 785 nm, 10 mW cm-2). (F) Time-dependent ratios of NIR-II fluorescence intensity from circled tumor site in panel (E) to that from normal tissue (T/N) in subcutaneous bladder-tumor-bearing mice. (G) Time-dependent normalized NIR-II fluorescence intensities and images (inset) of tumors extracted from the orthotopic bladder-tumor-bearing mice. Reprinted with permission from [105], copyright 2018 American Chemical Society.

Theranostics Image

(View in new window)

 Figure 7 

(A) Particle size distribution of Tat-PFBD NPs studied by DLS. The inset shows chemical structure of PFBD. (B) Time-dependent fluorescence intensity of Tat-PFBD (4 nM) and Qtracker® 585 after culturing at 37 ℃. (C) The confocal images from MSCs labeled with Tat-PFBD and Qtracker® 585 (λex: 488 nm; λem: 550-780 nm). The nuclei were stained with DAPI (λex: 405 nm; λem: 430-470 nm). (D) Representative in vivo fluorescence images of the wound sites on mouse transplanted with 1 × 106 GFP/luciferase double-expressing MSCs with/without Tat-PFBD NP labeling (left- and right-side wound). (E) Time-dependent fluorescence intensity of the region of interests as marked in (D). (F) Corresponding in vivo luminescence images of the same mouse in (D). (G) Time-dependent bioluminescence intensity of the region of interests as marked in (F). Reprinted with permission from [64], copyright 2015 WILEY-VCH.

Theranostics Image

(View in new window)

Fluorescent nanodiamonds (FNDs)

FNDs are unique because they contain a high-density ensemble of negatively charged nitrogen-vacancy (NV-) centers as built-in fluorophores, in which the maximum wavelengths of absorption and emission are at 550 and 700 nm, respectively [55]. Based on the special NV- centers, FNDs possess various inherent properties: (i) higher spatial resolution than normal fluorescent dyes, which is particularly suitable to monitor cellular and subcellular components [55]; (ii) optically detected magnetic resonance (ODMR) character, which is contributed by a sp3 nano-carbon allotrope [55]; (iii) three-dimensional (3D) lattice structure, which can benefit the coating of functional groups on FND surface [109]; (iv) the size between 35 and 100 nm, which is suitable for cell imaging [55]. Thanks to the perfect photostability without photobleaching in NV- center and low background in their emission region, FNDs are ideal materials in long-term cell tracking with good biocompatibility to maintain the self-renewal and differentiation of stem cells [110].

Recently, Wang et al. targeted FNDs with transforming growth factor (TGF) to yield imaging probes for endogenous TGF-beta (TGF-β) receptor labeling and 3D single molecule imaging [111]. To minimize aggregation, they used bovine serum albumin (BSA) to coat the FND surface via physical adsorption to reduce nonspecific interactions, yielding FND-TGF-BSA. The FND-TGF-BSA had an average hydrodynamic diameter of 46 nm in water, exhibiting strongly far-red fluorescence as well as high signal-to-noise ratio (SNR; ~48) passing through a single-band bandpass filter (675/67 nm). Interestingly, the probe can efficiently bind to HCC827 cells as a result of specific interaction with TGF-β receptor, demonstrating that FND-TGF-BSA is stable in live cells even under small molecule kinase inhibitor (SMI) treatment [111]. As a result, the FNDs can be used as specific endogenous protein tags to study transmembrane signaling function and dynamics in 3D, which is useful in investigating the influence of drug on dynamic behaviors of the target proteins in living cells. Soon after, Chang et al. conjugated FNDs with a recombinant envelope protein of vaccinia virus (VacV) which has been used to track and image the glycosaminoglycans (GAGs) in targeted living cells (Figure 8) [112]. Specifically, the recombinant A27 (rA27) proteins from VacV were used to functionalize FND surface because wild-type rA27 proteins (containing aa 21-84; named rA27-FND) are stable and can be easily produced in a large quantity [113]. A mutant rA27 protein (containing aa 33-84) was employed to afford rDA27-FND as the negative control, due to its defective binding ability to heparan sulfates [114]. Flow cytometric analysis revealed that about 75% of rA27-FND fed cells showed far-red emission owing to the specific targeting of GAG receptors by rA27-FND, whereas only 5% of rDA27-FND fed cells showed positive signals (Figure 8A). The rA27-FNDs thus showed more than 30-fold higher fluorescence intensity at far-red channel in living Hela cells as compared to that of rDA27-FNDs (Figure 8B). Similar results were observed when comparing the cellular internalization by GAG-overexpressed L cells (86% positive) and GAG-lacking Sog9 cells (1.5% positive) (Figure 8C). Furthermore, Schirhagl et al. took the advantage of unique optical property of FNDs to reveal the causes of cell aging at a molecular level and the exact function of free radicals in the aging process [115]. Transmission electron microscopy (TEM) images revealed that FNDs were accumulated in cytoplasm around nucleus. The chronological life span assay suggested that FND internalization was effective to monitor free radicals in stationary phase yeast cell aging process, according to free radical theory of cellular aging [116].

The excellent biocompatibility of FNDs is ideal for long-term cell tracking applications, particularly in stem cell research. Yu and Chang et al. used FND-labeled lung stem cells (LSCs) to identify their in vivo behaviors post transplantation and track the cellular engraftment and regenerative capabilities by fluorescence lifetime imaging microscopy (FLIM) (Figure 9) [117]. Confocal fluorescence microscopy images revealed that LSCs labeled with FNDs did not show obvious difference from unlabeled LSCs in terms of self-renewal and differentiation ability. The result in time-gated fluorescence imaging of tissue section indicated that FDN-labeled LSCs trended to engraft at the terminal bronchioles of injury lungs after intravenous transplantation for 7 days. In addition, Chao et al. introduced FND-labeled embryonal carcinoma stem cells (ECSCs) to track their neuronal differentiation [118]. After internalized by ECSCs, FNDs showed negligible effect on their proliferation and expression. Particularly, FNDs did not alter neuronal differentiation and neuron cells derived from ECSCs. In this contribution, the highly biocompatible FNDs could track neuronal differentiation processes for ~7 days using confocal microscope or flow cytometer.

FNDs have also been used to track cancer stem cells (CSCs), which is considered as a source of tumor initiation [119]. Geno-toxicity tests with comet and micronucleus assays for human fibroblasts and breast cancer cells indicated that FNDs had no influence on DNA or cell growth. After tracking human CSCs for 20 days, FNDs showed excellent intracellular retention capability, comparing with the commonly used cell trackers, carboxyfluorescein diacetate succinimidyl ester (CFSE) and 5-ethynyl-2′-deoxyuridine (EdU) (Figure 10). On day 4, flow cytometric analysis of dissociated mammospheres of AS-B145-1R cells showed a proportion of 9.5%, 12.4%, and 82.5% for EdU+, CFSE+, and FND+ cells, respectively. Specifically, 5.0% CFSE+ cells and 10.6 % FND+ cells were still detectable on day 20, whereas no EdU+ cells could be found by day 12 (Figure 10B). Interestingly, FND+ cells showed a mammosphere-forming efficiency nearly twice as high as that of the FND- cells (Figure 10C), resulting from slow-proliferating and/or quiescent CSCs for the former. These results indicated that FND-based cell tracking platform is an effective tool in distinguishing fast-proliferating and slow-proliferating/quiescent cells as well as tracking the clonal expansion of CSCs or other stem cells.

Cell tracking via nuclear imaging

A combination technology of positive emission tomography (PET) and single-photon emission computed tomography (SPECT) for cell tracking is used to record functional processes in cells by detecting biologically active radiotracers, which can provide an image of targeted distribution [120]. PET/SPECT lacks spatial resolution and cannot provide anatomic information, and they thus are usually combined with computed tomography (CT) technique [121] to precisely monitor the location of tracked cells [120]. The cell tracking through PET/SPECT can be realized through either imaging intracellular reporter genes with radioactive reporter probes or labeling of cells with radioactive isotope-incorporated molecules or NPs [122].

 Figure 8 

(A) Flow cytometric analysis of the cellular uptake of FNDs conjugated with rA27 and rDA27 (10 μg mL‒1) in comparison with HeLa cells only. (B) CLSM analysis of the cellular uptake of rA27-FNDs and rDA27-FNDs in HeLa cells. Red and blue colors stand for FNDs and Hoechst 33342 (nuclei tracker), respectively. (C) Flow cytometric analysis of the cellular uptake of rA27-FNDs (10 μg mL‒1) by mouse Sog9 and L cells expressing different levels of surface GAGs. Reprinted with permission from [112], copyright 2017 American Chemical Society.

Theranostics Image

(View in new window)

 Figure 9 

FND-labeled LSCs in lung-injured mice. (A, B) Immunohistochemical analysis of lung tissue sections (A) and flow cytometric analysis of total lung cells (B) collected from naphthalene-injured mice receiving an intravenous injection of saline (control) or FND-labeled LSCs for 1 and 7 days. The tissue sections in (A) were stained with CCSP for club cells (brown). (C) Representative FLIM, TGF and bright-field H&E staining images of the same lung tissue sections, showing the location of FND-labeled LSCs (white and black arrows) in terminal bronchioles of the lungs. (D) FLIM and H&E/TGF images of the lung tissue section from a naphthalene-injured mouse on day 7, showing engraftment of the transplanted FND-labeled LSCs (white and black arrows) to terminal bronchioles in a cluster formation. Scale bar is 50 μm. Reprinted with permission from [117], copyright 2013 Nature Publishing Group.

Theranostics Image

(View in new window)

 Figure 10 

(A) Time-dependent flow cytometric analysis of dissociated mammospheres of AS-B145-1R cells after labeling with EdU, CFSE, and FND. (B) Comparison of the long-term tracking capability of EdU, CFSE, and FND, identified according to the flow cytometric analysis in (A). (C) Mammosphere-forming efficiencies of FND+ and FND- cells isolated from dissociated mammospheres formed by FND-labeled AS-B145-1R cells on day 7. Reprinted with permission from [119], copyright 2015 Wiley-VCH.

Theranostics Image

(View in new window)

Although T-cell therapy has made a wide impact on clinic, monitoring the fate of T cells remains a major challenge in cancer immunotherapy research. Thus, tracking transplantation of T-cells in vivo is necessary to evaluate the ability of T-cells to penetrate and traffic to tumors. Recently, Wu et al. labeled 89Zr-desferrioxamine with anti-CD8 cys-diabody (named 89Zr-malDFO-169 cDb) to track endogenous CD8+ T cells via noninvasive immune-PET [123]. The 169 cDb can bind to CD8α, which is expressed on cytotoxic lymphocytes of all mouse strains, to realize lymph node and spleen targeting. To overcome the limitation of small region detection using PET, anti-CD8 immuno-PET based on 89Zr-malDFO-169 cDb not only detected lymph nodes in mice via targeting tumor-infiltrating CD8+ T cells, but also provided a preclinical evaluation for antitumor immune responses of immunotherapy through tracking dynamic distribution of T-cells. Disis et al. used 111In labeled HER-2/neu specific T-cells to monitor egress and traffic of the specific T-cells as assessed by concurrent SPECT/PET-CT imaging [124]. The results showed a fluorodeoxyglucose flare at metastatic site and an increase of tumor uptake to 32% at 48 h post T-cell infusion (Figure 11A-C). This result provided evidence of T-cell homing to disease sites and a tumor metabolism flare response. Moreover, Weber et al. utilized 86Y/177Lu-AABD to continuously track DAbR1-positive chimeric antigen receptor T (CAR T) cells via PET/SPECT [125]. They observed that 86Y-AABD could be maintained in T cells and cleared by normal tissue, which ensured a high contrast of in vivo cell tracking via PET and SPECT.

In addition, Blower et al. designed a [89Zr]oxinate4 PET tracer to monitor eGFP-5T33 murine myeloma cells [126] for 14 days [127]. Compared with [111In]oxinate3, [89Zr]oxinate4 had a better intracellular retention ability (>90%) after 24 hours. Using eGFP-positive cells, the results showed that the translocation of radioactivity to kidneys was much greater for [111In]oxinate3, while more than 92% of [89Zr]oxinate4 remained associated with the cells in liver, spleen and bone marrow after 7 days in vivo (Figure 11D). These results indicated that [89Zr]oxinate4 was a potential long-term PET tracer to observe survival and behavior of different cell types. Soon after, Fruhwirth et al. verified a novel PET radiotracer, [18F]tetrafluoroborate ([18F]BF4), as a reporter to detect orthotopic xenograft breast cancer model expressing the human sodium iodide symporter (NIS) [128]. For NIS-afforded in vivo tumor metastasis detection, [18F]BF4-PET images showed significant radiotracer uptake in the primary tumors and axillary and inguinal lymph nodes. Compared with traditional [123I] radiotracer, [18F]BF4 was highly specific and sensitive to track cancer cells with better pharmacokinetics (e.g., faster tumor uptake, quicker and more complete clearance from circulation). Accordingly, [18F]BF4 via PET/CT imaging has a preclinical potential in in vivo cell tracking for NIS expressing disease models.

 Figure 11 

FDG PET/CT images of mice 48 h (A) and 3 months (B) post T-cell infusion. (C) FDG uptake over a period of 48 h post T-cell infusion. Reprinted with permission from [124], copyright 2016 BioMed Central Ltd. (D) PET/CT and SPECT/CT images of C57Bl/KaLwRij mice inoculated with [89Zr]oxinate4- or [111In]oxinate3-labeled eGFP-5T33 cells. Reprinted with permission from [127], copyright Springer Verlag.

Theranostics Image

(View in new window)

Cell tracking via photoacoustic imaging

Photoacoustic (PA) imaging as a noninvasive imaging modality has great potential in biomedical and clinical applications, owing to its unique advantages of superb contrast, high spatial resolution, and high sensitivity to tissue functional characteristics [129-131]. PA signals are similar to ultrasound (US) waves in imaging, where the light scattering and dissipation by tissue can be minimized. PA imaging thus can afford deeper tissue penetration in comparison with other optical imaging technologies. However, to increase the light intensity and PA SNR in deep tissues, PA-imaging contrast agents (PA-trackers) have only been developed in recent years [132]. An excellent PA-trackers should own special photophysical properties, such as low fluorescence quantum yield, high molar-extinction coefficient in the near-infrared (NIR) window absorption, and good photostability. To date, a variety of PA-trackers have been developed, including carbon nanotubes, graphene-based agents, gold nanorods, organic small molecules, and SPNs.

For the recent cell-tracking using PA imaging, Wu and Li et al. developed a NIR-absorbing SP-based PA tracker to monitor the transplantation of human embryonic stem cell-derived cardiomy-ocytes (hESC-CMs) in living mouse hearts [18]. The PA tracker exhibited an excellent sensitivity in detecting 2000 labeled CMs to distinguish them from background tissues without significant impact on the structure and function of hESC-CMs. Moreover, the high labeling efficiency and PA signal allowed assess the delivery and engraftment of hESC-CMs in beating hearts, providing a facile approach to evaluate the efficacy of cell transplantation in cardiac regenerative therapy. Later, Bian et al. used a second near-infrared (NIR-II) absorptive organic SP-based nanoprobe (OSPN) as PA tracker to label hMSCs for in vivo tracking (Figure 12A) [14]. PA signal from the OSPNs in cytoplasm was measured by optical-resolution photoacoustic microscopy (OR-PAM), revealing that hMSCs had more efficient uptake of positively charged OSPNs+ than that of the negatively charged OSPNs-. Quantitative analysis revealed that the PA signal intensity of OSPNs+-labeled cells was 3-fold higher than that of OSPNs--labeled cells. In addition, PA imaging excited by NIR-II light irradiation (1064 nm) showed higher SNR (1.4-fold) in comparison with that excited by the first near-infrared (NIR-I) light irradiation (860 nm) at the same power intensity (5.0 mJ cm-2), implying that OSPN+ was superior in deep brain imaging with NIR-II absorption. Noteworthy is that the PA contrast was still visualized clearly upon 2 weeks post-injection, even the intensity decreased by ~61.4% as a result of cell proliferation. Thus, the NIR-II SPN-based PA-trackers were demonstrated to show significant advantages for labeling and tracking of hMSCs in biological tissue, providing a powerful method to understand the mechanisms in stem cell therapy.

In addition, Suggs et al. used inert gold nanorods (AuNRs) coated with a reactive oxygen species (ROS) sensitive NIR dye (IR775c) as the PA-tracker to label and track the viability of MSCs (Figure 12B) [17]. After cell death, MSCs produced ROS to degrade the cells. Accordingly, the viability of MSCs can be measured by PA signal ratio of IR775c (795 nm) to AuNRs (920 nm) because the latter are insensitive to ROS. The ratiometric heatmap of PA signal revealed the location of MSCs, where the high ratio value indicated living MSC populations while the low ratio value implied dying or dead cell populations (Figure 12C). After transplanted into the gastrocnemius muscle, the PA intensity of MSCs for IR775c decreased by ~22% at day 1 and ~38% at day 10 based on the normalized intensity for AuNRs. As a result, the relative viability of MSCs was estimated to be 0.92 and 0.05 for day 0 and day 10, respectively. In addition, PA imaging results revealed that the viability of cell population within the first day post transplantation decreased rapidly. Such ROS-sensitive PA-tracker can provide a faster process to optimize their therapeutic condition in a preclinical research, including cell transplantation timing, number of transplanted stem cells, and stem cell viability after administration.

Blood vessels play a crucial role in living bodies as a physical barrier and functional network, which facilitate the transportation of solutes, nutrients, and cells among tissues. A number of diseases involve the disfunction of blood vessel. As such, tracking vascular structures by imaging is of high important in theranostic applications. Recently, Liu et al. developed a NIR-II absorptive conjugated polymer (PTD) and fabricated PTD NPs by a modified nanoprecipitation method using a coaxial microfluidic glass capillary mixer (Figure 13A) [133]. Under optimized microfluidic conditions (320 of Reynolds number and 40% EtOH), the formulated NPs exhibited the smallest average diameter of 40 nm by TEM image. PTD NPs showed a strong NIR-II absorption peak at 1160 nm with an extinction coefficient of 48.1 L g-1 cm-1 in aqueous media, which could contribute to their strong PA amplitude under a pulsed laser irradiation of 1064 nm. To evaluate in vivo angiography performance of PTD NPs, 3D OR-PAM imaging, a decipherable technology for wide-field 3D biological structures with deep penetration and large signal-to-background ratio (SBR), was constructed on a mice ear and cerebral vasculatures with an excitation wavelength of 1064 nm. The regular ear vasculatures with a resolution of 19.2 µm and an SBR of 29.3 dB at the maximal imaging depth of 539 µm were visualized clearly (Figure 13B). Moreover, 3D whole-cortex cerebral vasculatures with a large imaging area (48 mm2), good resolution (25.4 µm), and high SBR (22.3 dB) at a depth up to 1001 µm are also clearly resolved through the intact skull (Figure 13C). These results suggested that ORPAMI using NIR-II NPs as PA-trackers will be a competitive imaging technology in enhancing the spatiotemporal resolution of cell-tracking in future. In addition, Liu and Zheng et al. developed AIE dots to achieve precise brain cancer diagnostics. The AIE dots showed an NIR-I absorption maximum at 740 nm with a large absorptivity (10.2 L g-1 cm-1) and NIR-II emission maximum at 975 nm with a high quantum yield (6.2%), promoting the synergetic NIR-I photoacoustic and NIR-II fluorescence imaging [134]. Among them, NIR-II fluorescence imaging showed a high SBR (4.4) and resolution (38 µm), whereas PA signal of tumor region could reach 2.0 mm of tissue depth. Collectively, the synergetic PA and fluorescence imaging based on AIE dots in NIR window will own great potential for monitoring and visualizing the abnormalities in blood vessel and tissue of brain toward precise brain-tumor diagnosis [135].

 Figure 12 

(A) Schematic illustration of the preparation procedure of OSPNs+ and PA labeling of hMSCs for transplantation. Reprinted with permission from [14], copyright 2018 American Chemical Society. (B) In vivo PA tracking of cell viability based on a ROS-sensitive NP, and (C) in vivo US/PA imaging of transplanted stem cells on day 0, correlating with the IR775c (λex: 795 nm) and AuNRs (λex: 920 nm) emission intensities. Reprinted with permission from [17], copyright 2019 American Chemical Society.

Theranostics Image

(View in new window)

Theranostic applications of multifunctional trackers

In addition to cell tracking, NPs can also serve as theranostic agents for disease diagnosis and treatments. For example, some luminogens can generate ROS or heat upon light irradiation, which have the capability to ablate cancer cells, simultaneously realizing both diagnostic and therapeutic effects [136,137]. Besides, many types of leukocytes, including macrophages, neutrophils, and dendritic cells, can sense chemokine and cytokine cues and thus can play the role as nanocarriers to target tumors [138,139]. Inspired by this concept, Xie and Li et al. developed silica nanocapsules, consisting of doxorubicin (Dox) as a representative drug, IONs as MRI tracker, 63Cu-PTSM as PET tracker and DiD dye as fluorescent tracker (named DSN). The DSNs can be efficiently loaded into macrophages. After intravenous injection, the DSN-laden macrophages showed high accumulation in tumor and further efficiently suppressed tumor growth upon drug release in situ with low systematic toxicity [140]. As such, the multifunctional cell trackers can be used to carry therapeutic agents and track the loaded cells simultaneously, opening a new door in disease theranostics. In this section, the new treatment methods based on NPs will be discussed, mainly covering photodynamic therapy (PDT) [141] and photothermal therapy (PTT) [62,142]. Inspired by the pioneering studies, further combination of cell trackers with novel therapeutic modalities will motivate new research activities in biomedical studies.

Photodynamic therapy (PDT)

Photosensitizers (PSs) generating ROS have attracted a broad research interest in different application fields, including PDT [143], organic synthesis [144], and sewage wastewater treatment [145,146]. PDT denotes a well-consolidated but gradually expanding approach in the cancer treatment, owing to its high spatiotemporal precision, controllability, and noninvasive nature [147]. To enhance the accuracy of therapy, Liu et al. developed an activatable AIE PS for the simultaneous imaging and photodynamic ablation of cancer cells [148]. Upon conjugation to cRGD [22,149] with an enzyme-activatable spacer [150,151], PSs simultaneously showed light-up fluorescence imaging and activated PDT for specific cancer cells (Figure 14) [152]. In this work, the PSs could specifically target lysosomes of MDA-MB-231 cells overexpressing αvβ3 integrin rather than MCF-7 and 293T cells. After PSs were activated by cathepsin B, a lysosomal protease, under light irradiation, the aggregation of released AIEgens showed a fluorescence turn-on signature. This process further facilitated the ROS production to damage the lysosomal membranes and cause cell apoptosis, showing considerable potentials for targeted and image-guided PDT [151,153-155]. Later, the same group synthesized a self-reporting AIE nanoprobe for real-time monitoring ROS and self-tracking photodynamic ablation of cancer cells [156]. The AIE molecule (named TPETP-AA-Rho-cRGD) composed of TPETP as an AIE luminogen (AIEgen), aminoacrylate (AA) as a singlet oxygen cleavable linker, a fluorogenic rhodol dye (Rho), and cRGD as targeting group (Figure 15). They self-assembled into NPs in a mixture of DMSO and phosphate buffered saline (1/199, v/v) with an average size of ~140 nm, exhibiting a high singlet oxygen QY of 0.68 [157]. Under light irradiation, the AA linker was cleaved as a result of ROS generation and green fluorescence from rhodol dye was then observed. Upon imaging-guided photodynamic therapy (PDT), the nanoprobe can efficiently monitor singlet oxygen generation via fluorescent signal changes.

 Figure 13 

(A) Schematic diagram of microfluidic glass capillary mixer for the synthesis of monodisperse PTD NPs through modified nanoprecipitation. (B and C) PA intensity profiles for the inset zoomed areas of mouse ear (B) and brain (C) vasculature images at the depths of 539 and 1001 µm. Reprinted with permission from [133], copyright 2019 WILEY-VCH.

Theranostics Image

(View in new window)

In clinical study, especially in fluorescence-guided surgery [158,159], the implementation of highly sensitive and specific imaging modalities for timely cancer diagnosis and progression monitoring has been of great significance. Unlike traditional methods of endogenous targeting molecules (antibodies, peptides, or aptamers) labeled with imaging probes [160,161], bioorthogonal chemistry has shown powerful applications in biological fields in combination with metabolic glycoengineering. Through the intrinsic metabolism of metabolic glycoengineering, the cancer cell surface labeling with unnatural sialic acids can be specifically targeted through chemically binding of in vivo biorthogonal click chemistry [162-170]. Inspired by the unique properties of AIEgens, Liu et al. developed a water-soluble AIEgen tying triple-bond, a reactive site with azido-functionalized glycans on cancer cell surface, to achieve bioorthogonal turn-on imaging (Figure 16) [164]. In aqueous media, the bioorthogonal probes showed very weak fluorescence. However, a “turn-on” red fluorescence was clearly observed upon click reaction with azido-functionalized cancer surface owing to the restriction of intramolecular motion. Moreover, photodynamic ablation for targeting cancer cells can be further accomplished at the same time. Compared to previously reported bioorthogonal probes [167-169], AIEgen-based probes can realize a unique alternative for real-time live cell labeling, imaging, and therapy. To improve in vivo bioorthogonal efficiency, the copper-free click reactive probe [166,170] and cancer-cell-specific metabolic precursor [165] would be subsequently developed for in vivo labeling. These studies suggest that the bioorthogonal probes targeting to tumor cell surface with covalent bond can serve as long-term cell trackers as well as fluorescent guidance for clinical surgery.

Photothermal therapy (PTT)

Photothermal therapy (PTT), another light-activatable therapy, collocating PA or NIR-II imaging has exhibited advantages over conventional theranostics such as fluorescence-guided chemotherapy [15,16,171-182]. PA-trackers naturally have photothermal functions, which thus can be regarded as PTT agents. They can synergistically offer deep penetration, high spatial resolution, and effective therapy with minimal side-effects. So far, various NIR-II PTT agents have been prepared from inorganic (copper sulfide, plasma metal clusters, and carbon nanotubes) [183-185] and organic materials (small molecules and semiconducting polymers) [186-188]. The organic agents usually have relatively excellent biodegradation and biocompatibility, which are desired in in vivo biomedical applications [60]. Compared to small molecules, donor-acceptor (D-A) structured SPs have advantages in good photostability and large extinction coefficient, which can benefit PTT efficacy [62,180-182]. Hence, Liu and Zheng et al. developed NIR-II absorptive SPNs (named P1 NPs, 50-64 nm) with an active targeting cRGD ligand (named P1RGD NPs) for selective targeting of integrin on tumor cell surface (Figure 17A) [181]. Under laser irradiation (1064 nm, 1 W cm-2), the temperature of P1 NPs (0.1 mg mL-1) rapidly increased to 64.8 ℃ within 5 min and the photothermal conversion efficiency (PTCE) was calculated to be 30.1%. In addition, PA signals of P1RGD NPs exhibited 3.5-fold higher than that of P1 NPs at tumor sites (Figure 17B), suggesting that cRGD did significantly enhance tumor uptake. For orthotopic tumor model (Figure 17C), upon 24 h post-injection, both P1 NPs and P1RGD NPs showed high PA signals in tumors with a detectable depth up to 3.2 and 2.8 mm, respectively. Moreover, P1RGD NP-based PA imaging performed a higher SBR of 90 in comparison with P1 NP-based one (SBR of 61), implying that active brain-tumor targeting could be realized by cRGD-modified NPs for improved therapeutic efficacy. This work demonstrated that photostable and biocompatible NIR-II SPNs will be promising for precise tracking as well as further treatment of brain tumors.

 Figure 14 

(A) Schematic illustration of TPECM-2GFLGD3-cRGD bioprobe. (B) Probe activation by cathepsin B with fluorescence “turn-on” and activated photoactivity to generate ROS upon light irradiation. Reprinted with permission from [151], copyright 2015 WILEY-VCH.

Theranostics Image

(View in new window)

 Figure 15 

(A) The chemical structure of TPETP-AA-Rho-cRGD and its real-time PDT cell tracking illustration. (B) CLSM images showing ROS generation of TPETP in MDA-MB-231 cells after different treatments using DCF-DA indicator (2 μM; λex: 488 nm, λem: 505-525 nm) (a-d) and annexin V-Cy5 indicator (1 μM; λex: 633 nm, λem: >650 nm) (e-h) with and without a singlet oxygen scavenger ascorbic acid (Asc). Green fluorescence (Rho; λex: 488 nm, λem: 505-525 nm). Reprinted with permission from [156], copyright 2016 Royal Society of Chemistry.

Theranostics Image

(View in new window)

 Figure 16 

The bioorthogonal turn-on probe for cancer cell imaging. CLSM images of HeLa cells co-stained with TPETSAl and membrane tracker CellMask Green (A1-A4) or MitoTracker Green (B1-B4). Blue fluorescence (nuclei live dyed with Hoechst 33342, λex: 405 nm, λem: 430-470 nm); green fluorescence (MitoTracker Green or CellMask Green, λex: 488 nm, λem: 505-525 nm); red fluorescence (TPETSAl, λex: 488 nm, λem: >650 nm). Reprinted with permission from [164], copyright 2016 WILEY-VCH.

Theranostics Image

(View in new window)

 Figure 17 

(A) Schematic illustration of NP synthesis and in vivo brain tumor photothermal therapy and PA imaging. (B) In vivo noninvasive PA imaging results of mice in subcutaneous U87 xenograft tumor model at different time points post NP injection. (C) Through scalp and skull noninvasive PA imaging of mouse brain tumors at different time points upon NP injection. Reprinted with permission from [181], copyright 2018 WILEY-VCH.

Theranostics Image

(View in new window)

In addition, to enhance accumulation of NPs in tumor, Pu et al. synthesized a NIR photothermal active SP nanoenzyme (named PCB1-Bro) (Figure 18A), which contained a SP amphiphile (PCB-1) and bromelain (Bro), serving as a photothermal nano-transducer and a temperature-sensitive enzyme, respectively [175]. Under NIR laser irradiation, PCB1-Bro underwent efficient photothermal conversion to increase the temperature around tumor and activated Bro enzyme to digest the most abundant tumor extracellular-matrix proteins, leading to enhanced NPs accumulation in tumor with boosted PTT effect (Figure 18B). At 6 h post-injection, the fluorescence intensity from PCB1-Bro enriched in tumor reached a maximum value, which was 1.4-fold higher than other groups (Figure 18C). This can be attributed to the improved EPR effect after digesting collagen by enzymatic activation of PCB1-Bro. Consequently, PCB1-Bro completely inhibited the tumor growth for 16 d due to higher PTT efficacy (Figure 18D). Thus, the strategy of using nanoenzyme will provide an innovative approach to enhance the drug delivery efficacy for PTT and other therapies such as PDT, chemotherapy, and gene therapy [155].

Conclusions and perspectives

In this review, we summarized the recent advances in exploration of nanoparticles as long-term cell trackers for cell therapies and cancer theranostics. The advantages and limitations of currently available cell trackers for various diagnostic technologies, including MRI, MPI, PA, PET, SPECT and fluorescence imaging, have been discussed and summarized in Table 2. Successive in vitro and in vivo cell tracking over a long period of time can provide valuable evidence on cellular processes and biomedicinal therapies, especially on stem cell therapy [189,190] and immunotherapy. Although the traditional clinical techniques such as MRI and PET/SPECT have excellent advantages in the near-ideal and/or limitless in vivo depth detection and quantitative analysis, they face the challenge of high cost and relatively slow imaging speed except for radioisotope safety. By contrast, PA and fluorescence imaging techniques are emerging research fields, enjoying much lower cost for imaging reagents, faster imaging processes within seconds-to-minutes and more maneuverable instruments. These trackers based on organic small-molecules and/or semiconducting polymers have advantages in in vivo real-time and long-term cell tracking, owing to their good biocompatibility. However, further efforts should be made to enhance the in vivo tissue penetration depth without compromising the imaging resolution, which is of high importance for quantitative analysis. To date, some promising results have been shown with the revolutionary development of imaging techniques from software to hardware. For instance, thanks to the minimized tissue absorbance and interference in NIR-II window, the problem of detection depth can be alleviated. Previous studies in NIR-II window have shown a penetration depth of 11.6 cm with 18 dB of SNR in PA imaging [191] and 1.3 μm with 12 of T/NT ratio for fluorescence imaging [192], which demonstrated significant superiority than NIR-I trackers. On the other hand, multi-modal NPs hold great potentials in deep tissue imaging and precise disease diagnosis, particularly in the cerebrovascular and brain tissues. Through combination of different imaging modalities, such multi-modal NPs can round off the strong points of each imaging technique to acquire more comprehensive information than single-modal NPs. In addition, utilizing stimuli-responsive in situ self-assembly or release in tumor microenvironment to design smart trackers and/or probes can also increase contrast signal, tracing veracity and guide-monitoring real-time performance of the targets. Meanwhile, some trackers holding capacity of ROS generation, drug release or heat production under light irradiation can realize precise and efficient treatment. Such trackers have attracted broad attention owing to the integration of diagnosis and therapy in a single formulation. Thus, for modern and even future theranostics in particular of stem-cell therapy and immunotherapy, the in vivo cell tracking combining multimodal technologies with integrated smart probes will be of great potentials.

 Figure 18 

(A) Schematic illustration of PCB1-Bro NP and its synthetic strategy. (B) Schematic illustration of photothermally triggered enzyme activation of PCB1-Bro towards collagen digestion for enhanced accumulation of nanoparticles in tumors. (C) Fluorescence intensity of tumors as a function of post-injection time of PCB1 or PCB1-Bro with and without laser irradiation. (D) IR thermal images of 4T1 tumor-bearing mice under laser irradiation for 5 min after intravenous injection of saline, PCB1, and PCB1-Bro, respectively. Reprinted with permission from [175], copyright 2018 WILEY-VCH.

Theranostics Image

(View in new window)

 Table 2 

Trackers, advantages and disadvantages of various imaging techniques.

TechniquesTrackers / Advantages / Disadvantages
MRI, MPITrackers: Gd3+-, Mn2+-, 19F-based NPs, IONs and SPIONs.
Advantages: (1) Arbitrary orientation tomography and non-osseous artifacts for accurate diagnosis; (2) Near-ideal depth penetration, spatial resolution (10~100 μm), high contrast and quantitative analysis; (3) Several weeks to months tracking for in vivo fate and aging of stem cells; (4) Non-ionizing and low frequency magnetic fields in MPI.
Disadvantages: (1) Long scanning time and slow imaging speed; (2) Very insensitive to tumor calcification and in vivo calculus.
Fluorescence imagingTrackers: inorganic QDs-, FNDs- and organic material-based NPs.
Advantages: (1) Easy operation, low cost, non-invasive and fast imaging from seconds to minutes; (2) Relatively good biocompatibility for FNDs and organic material-based NPs; (3) High photostability for SP-based NPs and AIE dots; (4) Several weeks tracking for in vivo studies; (5) Theranostic capability based on some luminogens owning ROS generation.
Disadvantages: (1) Limited tissue penetration depth in several micrometers for traditional optical probes, except for NIR-II probes (several millimeters); (2) Interference from biological auto-fluorescence; (3) Difficult to quantitative analysis.
PET/SPECT imagingTrackers: radioisotopes-based materials such as 18F, 64Cu, 89Zr, 111In and 86Y/177Lu-based reagents.
Advantages: (1) Non-invasive inspection for early stage cancers and further precise medication with high quality; (2) Unlimited detection depth, spatial resolution (1~2 mm) and quantitative analysis; (3) Short tracking period depending on the half-life of radioactive reagents; (4) Whole-body imaging with high sensitivity.
Disadvantages: (1) High cost; (2) Use of radioisotopes leading to hard-to-assess in vivo security; (3) Low sensitive to tumors in lung, liver and gastrointestinal tract in comparison with MRI or CT.
PA imagingTrackers: Au nanorods, graphene, carbon nanotubes, organic smell-molecules and SPNs etc.
Advantages: (1) Non-invasive and non-ionizing detection and fast imaging from seconds to minutes; (2) Deep tissue penetration depth in centimeters with good SNR and spatial resolution in tens to hundred micrometers, rich contrast and high sensitivity; (3) Days to weeks tracking for in vivo fate and aging of stem cells; (4) Low cost and portable system.
Disadvantages: (1) Limited imaging resolution in comparison with optical imaging; (2) Lack of stability in detecting methods, and shallow detection depth in comparison with mature clinic detection technology such as CT and MRI.


AIE: aggregation-induced emission; ACQ: aggregation caused quenching; AuNRs: gold nanorods; BBB: blood-brain barrier; Bro: bromelain; BSA: bovine serum albumin; cRGD: cyclo(Arg-Gly-Asp-D-Phe-Lys(mpa)); CAR T cell: chimeric antigen receptor T cell; CFSE: carboxyfluorescein diacetate succinimidyl ester; CLSM: confocal laser scanning microscope; CSCs: cancer stem cells; CT: computed tomography; D-A: donor-acceptor; DAPI: 4ʹ,6-diamidino-2-phenylindole; DCF-DA: 2ʹ,7ʹ-dichlorofluorescin diacetate; DLS: dynamic laser scattering; DMT1: divalent metal transporter 1; ECSCs: embryonal carcinoma stem cells; EdU: 5-ethynyl-2ʹ-deoxyuridine; EPR: enhanced permeability and retention; FDG: fluorodeoxyglucose; FNDs: fluorescent nanodiamonds; FLIM: fluorescence lifetime imaging microscopy; GAGs: glycosaminoglycans; hMSCs: human mesenchymal stem cells; LSCs: lung stem cells; MASIs: matrix-associated stem cell implants; mMSCs: marrow derived mesenchymal stem cells; MSCs: mesenchymal stem cells; IONs: iron oxide nanoparticles; MPI: magnetic particle imaging; MRI: magnetic resonance imaging; Mn: manganese; NV-: nitrogen-vacancy; NIR: near-infrared; NIR-I: first near-infrared; NIR-II: second near-infrared; NIS: sodium iodide symporter; NPs: nanoparticles; ODMR: optically detected magnetic resonance; OR-PAM: optical-resolution photoacoustic microscopy; PAA: polyacrylic acid; PA: photoacoustic; PDT: photodynamic therapy; PET: positron emission tomography; PSs: photosensitizers; PTT: photothermal therapy; QDs: quantum dots; QY: quantum yield; ROS: reactive oxygen species; SBR: signal-to-background ratio; SDT: sonodynamic therapy; SMI: small molecule kinase inhibitor; SNR: signal-to-noise ratio; SPECT: single photon emission computing tomography; SPIONs: superparamagnetic iron oxide nanoparticles; SPs: semiconducting polymers; SPNs: semiconducting polymer nanoparticle; T/NT ratio: tumor/normal tissue signal ratio; TEM: transmission electron microscope; TGF: transforming growth factor; US: ultrasound; USPIONs: ultrasmall iron oxide nanoparticles; VacV: vaccinia virus.


The authors are grateful to the National Natural Science Foundation of China (31870991), the Singapore NRF Competitive Research Program (R279-000-483-281), the National University of Singapore (R279-000-482-133), the NRF Investigatorship (R279-000-444-281), the Thousand Young Talents Program, and the Science and Technology Plan of Shenzhen (JCYJ20180306174918294) for financial support.

Competing Interests

The authors have declared that no competing interest exists.


1. Rogers WJ, Meyer CH, Kramer CM. Technology insight: In vivo cell tracking by use of MRI. Nat Clin Pract Cardiovasc Med. 2006;3:554-62

2. Guldris N, Argibay B, Gallo J, Iglesias-Rey R, Carbo-Argibay E, Kolen'ko YV. et al. Magnetite nanoparticles for stem cell labeling with high efficiency and long-term in vivo tracking. Bioconjug Chem. 2017;28:362-70

3. Kircher MF, Gambhir SS, Grimm J. Noninvasive cell-tracking methods. Nat Rev Clin Oncol. 2011;8:677-88

4. Thunemann M, Schörg BF, Feil S, Lin Y, Voelkl J, Golla M. et al. Cre/lox-assisted non-invasive in vivo tracking of specific cell populations by positron emission tomography. Nat Commun. 2017;8:444

5. Griessinger CM, Maurer A, Kesenheimer C, Kehlbach R, Reischl G, Ehrlichmann W. et al. 64Cu antibody-targeting of the T-cell receptor and subsequent internalization enables in vivo tracking of lymphocytes by PET. Proc Natl Acad Sci U S A. 2015;112:1161-6

6. Lewis CM, Graves SA, Hernandez R, Valdovinos HF, Barnhart TE, Cai W. et al. 52Mn production for PET/MRI tracking of human stem cells expressing divalent metal transporter 1 (DMT1). Theranostics. 2015;5:227-39

7. Cheng SH, Yu D, Tsai HM, Morshed RA, Kanojia D, Lo LW. et al. Dynamic in vivo SPECT imaging of neural stem cells functionalized with radiolabeled nanoparticles for tracking of glioblastoma. J Nucl Med. 2016;57:279-84

8. Ashur I, Allouche-Arnon H, Bar-Shir A. Calcium fluoride nanocrystals: Tracers for in vivo 19F magnetic resonance imaging. Angew Chem Int Ed Engl. 2018;57:7478-82

9. Yang H, Qin X, Wang H, Zhao X, Liu Y, Wo HT. et al. An in vivo miRNA delivery system for restoring infarcted myocardium. ACS Nano. 2019;13:9880-94

10. Zhou Z, Yang L, Gao J, Chen X. Structure-relaxivity relationships of magnetic nanoparticles for magnetic resonance imaging. Adv Mater. 2019;31:1804567

11. Tay ZW, Chandrasekharan P, Zhou XY, Yu E, Zheng B, Conolly S. In vivo tracking and quantification of inhaled aerosol using magnetic particle imaging towards inhaled therapeutic monitoring. Theranostics. 2018;8:3676-87

12. Song G, Chen M, Zhang Y, Cui L, Qu H, Zheng X. et al. Janus iron oxides @ semiconducting polymer nanoparticle tracer for cell tracking by magnetic particle imaging. Nano Lett. 2018;18:182-9

13. Tay ZW, Chandrasekharan P, Chiu-Lam A, Hensley DW, Dhavalikar R, Zhou XY. et al. Magnetic particle imaging-guided heating in vivo using gradient fields for arbitrary localization of magnetic hyperthermia therapy. ACS Nano. 2018;12:3699-713

14. Yin C, Wen G, Liu C, Yang B, Lin S, Huang J. et al. Organic semiconducting polymer nanoparticles for photoacoustic labeling and tracking of stem cells in the second near-infrared window. ACS Nano. 2018;12:12201-11

15. Wang Q, Xia B, Xu J, Niu X, Cai J, Shen Q. et al. Biocompatible small organic molecule phototheranostics for NIR-II fluorescence/photoacoustic imaging and simultaneous photodynamic/photothermal combination therapy. Mater Chem Front. 2019;3:650-5

16. Lyu Y, Zeng J, Jiang Y, Zhen X, Wang T, Qiu S. et al. Enhancing both biodegradability and efficacy of semiconducting polymer nanoparticles for photoacoustic imaging and photothermal therapy. ACS Nano. 2018;12:1801-10

17. Dhada KS, Hernandez DS, Suggs LJ. In vivo photoacoustic tracking of mesenchymal stem cell viability. ACS Nano. 2019;13:7791-9

18. Qin X, Chen H, Yang H, Wu H, Zhao X, Wang H. et al. Photoacoustic imaging of embryonic stem cell-derived cardiomyocytes in living hearts with ultrasensitive semiconducting polymer nanoparticles. Adv Funct Mater. 2018;28:1704939

19. Gu X, Kwok RTK, Lam JWY, Tang BZ. AIEgens for biological process monitoring and disease theranostics. Biomaterials. 2017;146:115-35

20. Ding D, Li K, Liu B, Tang BZ. Bioprobes based on AIE fluorogens. Acc Chem Res. 2013;46:2441-53

21. Li K, Zhu Z, Cai P, Liu R, Tomczak N, Ding D. et al. Organic dots with aggregation-induced emission (AIE dots) characteristics for dual-color cell tracing. Chem Mater. 2013;25:4181-7

22. Gao Y, Zheng QC, Xu S, Yuan Y, Cheng X, Jiang S. et al. Theranostic nanodots with aggregation-induced emission characteristic for targeted and image-guided photodynamic therapy of hepatocellular carcinoma. Theranostics. 2019;9:1264-79

23. Gao S, Wei G, Zhang S, Zheng B, Xu J, Chen G. et al. Albumin tailoring fluorescence and photothermal conversion effect of near-infrared-II fluorophore with aggregation-induced emission characteristics. Nat Commun. 2019;10:2206

24. Ni J-S, Lee MMS, Zhang P, Gui C, Chen Y, Wang D. et al. Swissknife-inspired multifunctional fluorescence probes for cellular organelle targeting based on simple AIEgens. Anal Chem. 2019;91:2169-76

25. Ni J-S, Liu H, Liu J, Jiang M, Zhao Z, Chen Y. et al. The unusual aggregation-induced emission of coplanar organoboron isomers and their lipid droplet-specific applications. Mater Chem Front. 2018;2:1498-507

26. Kaskova ZM, Tsarkova AS, Yampolsky IV. 1001 lights: Luciferins, luciferases, their mechanisms of action and applications in chemical analysis, biology and medicine. Chem Soc Rev. 2016;45:6048-77

27. Iwano S, Sugiyama M, Hama H, Watakabe A, Hasegawa N, Kuchimaru T. et al. Single-cell bioluminescence imaging of deep tissue in freely moving animals. Science. 2018;359:935-9

28. Kim JE, Kalimuthu S, Ahn BC. In vivo cell tracking with bioluminescence imaging. Nucl Med Mol Imaging. 2015;49:3-10

29. Yeh HW, Karmach O, Ji A, Carter D, Martins-Green MM, Ai HW. Red-shifted luciferase-luciferin pairs for enhanced bioluminescence imaging. Nat Methods. 2017;14:971-4

30. Gao X, Cui Y, Levenson RM, Chung LWK, Nie S. In vivo cancer targeting and imaging with semiconductor quantum dots. Nat Biotechnol. 2004;22:969-76

31. Jaiswal JK, Goldman ER, Mattoussi H, Simon SM. Use of quantum dots for live cell imaging. Nat Methods. 2004;1:73-8

32. Barrow M, Taylor A, Murray P, Rosseinsky MJ, Adams DJ. Design considerations for the synthesis of polymer coated iron oxide nanoparticles for stem cell labelling and tracking using MRI. Chem Soc Rev. 2015;44:6733-48

33. Li K, Nejadnik H, Daldrup-Link HE. Next-generation superparamagnetic iron oxide nanoparticles for cancer theranostics. Drug Discov Today. 2017;22:1421-9

34. Hai Z, Ni Y, Saimi D, Yang H, Tong H, Zhong K. et al. Gamma-glutamyltranspeptidase-triggered intracellular gadolinium nanoparticle formation enhances the T2-weighted MR contrast of tumor. Nano Lett. 2019;19:2428-33

35. Huang P, Qian X, Chen Y, Yu L, Lin H, Wang L. et al. Metalloporphyrin-encapsulated biodegradable nanosystems for highly efficient magnetic resonance imaging-guided sonodynamic cancer therapy. J Am Chem Soc. 2017;139:1275-84

36. Rolfe BE, Blakey I, Squires O, Peng H, Boase NR, Alexander C. et al. Multimodal polymer nanoparticles with combined 19F magnetic resonance and optical detection for tunable, targeted, multimodal imaging in vivo. J Am Chem Soc. 2014;136:2413-9

37. Quang HV, Chang CC, Song P, Hauge EM, Kjems J. Caveolae-mediated mesenchymal stem cell labelling by PSS-coated PLGA PFOB nano-contrast agent for MRI. Theranostics. 2018;8:2657-71

38. Guldris N, Argibay B, Gallo J, Iglesias-Rey R, Carbó-Argibay E, Kolen'ko YV. et al. Magnetite nanoparticles for stem cell labeling with high efficiency and long-term in vivo tracking. Bioconjug Chem. 2017;28:362-70

39. Ashraf S, Taylor A, Sharkey J, Barrow M, Murray P, Wilm B. et al. In vivo fate of free and encapsulated iron oxide nanoparticles after injection of labelled stem cells. Nanoscale Adv. 2019;1:367-77

40. Spencer D, Yu D, Morshed RA, Li G, Pituch KC, Gao DX. et al. Pharmacologic modulation of nasal epithelium augments neural stem cell targeting of glioblastoma. Theranostics. 2019;9:2071-83

41. Li L, Jiang W, Luo K, Song H, Lan F, Wu Y. et al. Superparamagnetic iron oxide nanoparticles as MRI contrast agents for non-invasive stem cell labeling and tracking. Theranostics. 2013;3:595-615

42. Goodfellow F, Simchick GA, Mortensen LJ, Stice SL, Zhao Q. Tracking and quantification of magnetically labeled stem cells using magnetic resonance imaging. Adv Funct Mater. 2016;26:3899-915

43. Mertens ME, Frese J, Bolukbas DA, Hrdlicka L, Golombek S, Koch S. et al. FMN-coated fluorescent USPIO for cell labeling and non-invasive MR imaging in tissue engineering. Theranostics. 2014;4:1002-13

44. Han B, Zhang Y, Zhang Y, Bai Y, Chen X, Huang R. et al. Novel insight into circular RNA HECTD1 in astrocyte activation via autophagy by targeting MIR142-TIPARP: Implications for cerebral ischemic stroke. Autophagy. 2018;14:1164-84

45. Chen C, Li T, Zhao Y, Qian Y, Li X, Dai X. et al. Platelet glycoprotein receptor Ib blockade ameliorates experimental cerebral ischemia-reperfusion injury by strengthening the blood-brain barrier function and anti-thrombo-inflammatory property. Brain Behav Immun. 2018;69:255-63

46. Theruvath AJ, Nejadnik H, Lenkov O, Yerneni K, Li K, Kuntz L. et al. Tracking stem cell implants in cartilage defects of minipigs by using ferumoxytol-enhanced MRI. Radiology. 2019;292:129-37

47. Zheng B, See MPv, Yu E, Gunel B, Lu K, Vazin T. et al. Quantitative magnetic particle imaging monitors the transplantation, biodistribution, and clearance of stem cells in vivo. Theranostics. 2016;6:291-301

48. Daldrup-Link HE, Rudelius M, Metz S, Piontek G, Pichler B, Settles M. et al. Cell tracking with gadophrin-2: A bifunctional contrast agent for MR imaging, optical imaging, and fluorescence microscopy. Eur J Nucl Med Mol Imaging. 2004;31:1312-21

49. Ge J, Guo L, Wang S, Zhang Y, Cai T, Zhao RCH. et al. The size of mesenchymal stem cells is a significant cause of vascular obstructions and stroke. Stem Cell Rev Rep. 2014;10:295-303

50. Song G, Zheng X, Wang Y, Xia X, Chu S, Rao J. A magneto-optical nanoplatform for multimodality imaging of tumors in mice. ACS Nano. 2019;13:7750-8

51. Ni X, Jia S, Duan X, Ding D, Li K. Fluorescent nanoparticles for noninvasive stem cell tracking in regenerative medicine. J Biomed Nanotechnol. 2018;14:240-56

52. Sahl SJ, Hell SW, Jakobs S. Fluorescence nanoscopy in cell biology. Nat Rev Mol Cell Biol. 2017;18:685-701

53. Zhao P, Xu Q, Tao J, Jin Z, Pan Y, Yu C. et al. Near infrared quantum dots in biomedical applications: Current status and future perspective. Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2018;10:1483

54. Li C, Feng L, Zhang Y, Zhang W, Zhang XE, Wang Q. Real-time monitoring surface chemistry-dependent in vivo behaviors of protein nanocages via encapsulating an NIR-II Ag2S quantum dot. Acs Nano. 2015;9:12255-63

55. Hsiao WW-W, Hui YY, Tsai P-C, Chang H-C. Fluorescent nanodiamond: A versatile tool for long-term cell tracking, super-resolution imaging, and nanoscale temperature sensing. Acc Chem Res. 2016;49:400-7

56. Hsiao WW, Hui YY, Tsai PC, Chang HC. Fluorescent nanodiamond: A versatile tool for long-term cell tracking, super-resolution imaging, and nanoscale temperature sensing. Acc Chem Res. 2016;49:400-7

57. Feng G, Liu B. Aggregation-induced emission (AIE) dots: Emerging theranostic nanolights. Acc Chem Res. 2018;51:1404-14

58. Cai X, Zhang CJ, Ting Wei Lim F, Chan SJ, Bandla A, Chuan CK. et al. Organic nanoparticles with aggregation-induced emission for bone marrow stromal cell tracking in a rat PTI model. Small. 2016;12:6576-85

59. Qi J, Chen C, Ding D, Tang BZ. Aggregation-induced emission luminogens: Union is strength, gathering illuminates healthcare. Adv Healthc Mater. 2018;7:1800477

60. Li K, Liu B. Polymer-encapsulated organic nanoparticles for fluorescence and photoacoustic imaging. Chem Soc Rev. 2014;43:6570-97

61. Jiang Y, Pu K. Multimodal biophotonics of semiconducting polymer nanoparticles. Acc Chem Res. 2018;51:1840-9

62. Li J, Pu K. Development of organic semiconducting materials for deep-tissue optical imaging, phototherapy and photoactivation. Chem Soc Rev. 2019;48:38-71

63. Huang J, Li J, Lyu Y, Miao Q, Pu K. Molecular optical imaging probes for early diagnosis of drug-induced acute kidney injury. Nat Mater. 2019;18:1133-43

64. Jin G, Mao D, Cai P, Liu R, Tomczak N, Liu J. et al. Conjugated polymer nanodots as ultrastable long-term trackers to understand mesenchymal stem cell therapy in skin regeneration. Adv Funct Mater. 2015;25:4263-73

65. Qin W, Li K, Feng G, Li M, Yang Z, Liu B. et al. Bright and photostable organic fluorescent dots with aggregation-induced emission characteristics for noninvasive long-term cell imaging. Adv Funct Mater. 2014;24:635-43

66. Chen G, Zhang Y, Li C, Huang D, Wang Q, Wang Q. Recent advances in tracking the transplanted stem cells using near-infrared fluorescent nanoprobes: Turning from the first to the second near-infrared window. Adv Healthc Mater. 2018;7:1800497

67. Gill R, Zayats M, Willner I. Semiconductor quantum dots for bioanalysis. Angew Chem Int Ed Engl. 2008;47:7602-25

68. Resch-Genger U, Grabolle M, Cavaliere-Jaricot S, Nitschke R, Nann T. Quantum dots versus organic dyes as fluorescent labels. Nat methods. 2008;5:763

69. Chen N, He Y, Su Y, Li X, Huang Q, Wang H. et al. The cytotoxicity of cadmium-based quantum dots. Biomaterials. 2012;33:1238-44

70. Dubertret B, Skourides P, Norris DJ, Noireaux V, Brivanlou AH, Libchaber A. In vivo imaging of quantum dots encapsulated in phospholipid micelles. Science. 2002;298:1759-62

71. Yao M, He L, McClements DJ, Xiao H. Uptake of gold nanoparticles by intestinal epithelial cells: Impact of particle size on their absorption, accumulation, and toxicity. J Agric Food Chem. 2015;63:8044-9

72. Shvedova AA, Kagan VE, Fadeel B. Close encounters of the small kind: Adverse effects of man-made materials interfacing with the nano-cosmos of biological systems. Annu Rev Pharmacol Toxicol. 2010;50:63-88

73. Lyu Y, Guo Y, Cai R, Peng R, Hong C, Chen X. et al. Spherically directed synthesis and enhanced cellular internalization of metal-crosslinked DNA micelles. Chem. 2019;5:913-28

74. Du Y, Xu B, Fu T, Cai M, Li F, Zhang Y. et al. Near-infrared photoluminescent Ag2S quantum dots from a single source precursor. J Am Chem Soc. 2010;132:1470-1

75. Li C, Zhang Y, Wang M, Zhang Y, Chen G, Li L. et al. In vivo real-time visualization of tissue blood flow and angiogenesis using Ag2S quantum dots in the NIR-II window. Biomaterials. 2014;35:393-400

76. Chen G, Tian F, Zhang Y, Zhang Y, Li C, Wang Q. Tracking of transplanted human mesenchymal stem cells in living mice using near-infrared Ag2S quantum dots. Adv Funct Mater. 2014;24:2481-8

77. Zhang Y, Hong G, Zhang Y, Chen G, Li F, Dai H. et al. Ag2S quantum dot: A bright and biocompatible fluorescent nanoprobe in the second near-infrared window. ACS Nano. 2012;6:3695-702

78. Zhao J-Y, Chen G, Gu Y-P, Cui R, Zhang Z-L, Yu Z-L. et al. Ultrasmall magnetically engineered Ag2Se quantum dots for instant efficient labeling and whole-body high-resolution multimodal real-time tracking of cell-derived microvesicles. J Am Chem Soc. 2016;138:1893-903

79. Wu K, Zhang J, Fan S, Li J, Zhang C, Qiao K. et al. Plasmon-enhanced fluorescence of PbS quantum dots for remote near-infrared imaging. Chem Commun. 2015;51:141-4

80. Imamura Y, Yamada S, Tsuboi S, Nakane Y, Tsukasaki Y, Komatsuzaki A. et al. Near-infrared emitting PbS quantum dots for in vivo fluorescence imaging of the thrombotic state in septic mouse brain. Molecules. 2016;21:1080

81. Li J, Zhu J-J. Quantum dots for fluorescent biosensing and bio-imaging applications. Analyst. 2013;138:2506-15

82. Bilan R, Fleury F, Nabiev I, Sukhanova A. Quantum dot surface chemistry and functionalization for cell targeting and imaging. Bioconjug Chem. 2015;26:609-24

83. Yukawa H, Baba Y. In vivo fluorescence imaging and the diagnosis of stem cells using quantum dots for regenerative medicine. Anal Chem. 2017;89:2671-81

84. Huang D, Lin S, Wang Q, Zhang Y, Li C, Ji R. et al. An NIR-II fluorescence/dual bioluminescence multiplexed imaging for in vivo visualizing the location, survival, and differentiation of transplanted stem cells. Adv Funct Mater. 2019;29:1806546

85. Hong G, Robinson JT, Zhang Y, Diao S, Antaris AL, Wang Q. et al. In vivo fluorescence imaging with Ag2S quantum dots in the second near-infrared region. Angew Chem Int Ed Engl. 2012;51:9818-21

86. Tang R, Xue J, Xu B, Shen D, Sudlow GP, Achilefu S. Tunable ultrasmall visible-to-extended near-infrared emitting silver sulfide quantum dots for integrin-targeted cancer imaging. ACS Nano. 2015;9:220-30

87. Chen Z, Deng J, Zhao Y, Tao T. Cyclic RGD peptide-modified liposomal drug delivery system: Enhanced cellular uptake in vitro and improved pharmacokinetics in rats. Int J Nanomedicine. 2012;7:3803-11

88. Wang Q, Wen Q, Zhang Y, Ling S, Yang X, Chen G. et al. Self-assembled peptide nanochain with NIR-II fluorescence for ultrasensitive detection of peritoneal metastasis. Angew Chem Int Ed Engl. 2019;58:11001-6

89. Li J, Lee WY, Wu T, Xu J, Zhang K, Li G. et al. Multifunctional quantum dot nanoparticles for effective differentiation and long-term tracking of human mesenchymal stem cells in vitro and in vivo. Adv Healthc Mater. 2016;5:1049-57

90. Li J, Lee WY, Wu T, Xu J, Zhang K, Hong Wong DS. et al. Near-infrared light-triggered release of small molecules for controlled differentiation and long-term tracking of stem cells in vivo using upconversion nanoparticles. Biomaterials. 2016;110:1-10

91. Zhao L, Kutikov A, Shen J, Duan C, Song J, Han G. Stem cell labeling using polyethylenimine conjugated (α-NaYbF4:Tm3+)/Caf2 upconversion nanoparticles. Theranostics. 2013;3:249-57

92. Ding D, Mao D, Li K, Wang X, Qin W, Liu R. et al. Precise and long-term tracking of adipose-derived stem cells and their regenerative capacity via superb bright and stable organic nanodots. ACS Nano. 2014;8:12620-31

93. Chuang YJ, Zhen Z, Zhang F, Liu F, Mishra JP, Tang W. et al. Photostimulable near-infrared persistent luminescent nanoprobes for ultrasensitive and longitudinal deep-tissue bio-imaging. Theranostics. 2014;4:1112-22

94. Li Y, Li Y, Zhang X, Xu X, Zhang Z, Hu C. et al. Supramolecular PEGylated dendritic systems as pH/redox dual-responsive theranostic nanoplatforms for platinum drug delivery and NIR imaging. Theranostics. 2016;6:1293-305

95. Hong Y, Lam JWY, Tang BZ. Aggregation-induced emission. Chem Soc Rev. 2011;40:5361-88

96. Wang Y-L, Fan C, Xin B, Zhang J-P, Luo T, Chen Z-Q. et al. AIE-based super-resolution imaging probes for β-amyloid plaques in mouse brains. Mater Chem Front. 2018;2:1554-62

97. Ren F, Liu P, Gao Y, Shi J, Tong B, Cai Z. et al. Real time bioimaging for mitochondria by taking the aggregation process of aggregation-induced emission near-infrared dyes with wash-free staining. Mater Chem Front. 2019;3:57-63

98. He Y, Li Y, Su H, Si Y, Liu Y, Peng Q. et al. An o-phthalimide-based multistimuli-responsive aggregation-induced emission (AIE) system. Mater Chem Front. 2019;3:50-6

99. Chen Y, Zhang W, Zhao Z, Cai Y, Gong J, Kwok RTK. et al. An easily accessible ionic aggregation-induced emission luminogen with hydrogen-bonding-switchable emission and wash-free imaging ability. Angew Chem Int Ed Engl. 2018;57:5011-5

100. Gao H, Zhang X, Chen C, Li K, Ding D. Unity makes strength: How aggregation-induced emission luminogens advance the biomedical field. Adv Biosyst. 2018;2:1800074

101. Chong KC, Hu F, Liu B. AIEgen bioconjugates for specific detection of disease-related protein biomarkers. Mater Chem Front. 2019;3:12-24

102. Shao A, Xie Y, Zhu S, Guo Z, Zhu S, Guo J. et al. Far-red and near-IR AIE-active fluorescent organic nanoprobes with enhanced tumor-targeting efficacy: Shape-specific effects. Angew Chem Int Ed Engl. 2015;54:7275-80

103. Li K, Qin W, Ding D, Tomczak N, Geng J, Liu R. et al. Photostable fluorescent organic dots with aggregation-induced emission (AIE dots) for noninvasive long-term cell tracing. Sci Rep. 2013;3:1150

104. Li K, Yamamoto M, Chan SJ, Chiam MY, Qin W, Wong PT. et al. Organic nanoparticles with aggregation-induced emission for tracking bone marrow stromal cells in the rat ischemic stroke model. Chem Commun. 2014;50:15136-9

105. Alifu N, Zebibula A, Qi J, Zhang H, Sun C, Yu X. et al. Single-molecular near-infrared-II theranostic systems: Ultrastable aggregation-induced emission nanoparticles for long-term tracing and efficient photothermal therapy. ACS Nano. 2018;12:11282-93

106. Feng G, Li K, Liu J, Ding D, Liu B. Bright single-chain conjugated polymer dots embedded nanoparticles for long-term cell tracing and imaging. Small. 2014;10:1212-9

107. Jin G, Li J, Li K. Photosensitive semiconducting polymer-incorporated nanofibers for promoting the regeneration of skin wound. Mater Sci Eng C Mater Biol Appl. 2017;70:1176-81

108. Liu J, Li K, Liu B. Far-red/near-infrared conjugated polymer nanoparticles for long-term in situ monitoring of liver tumor growth. Adv Sci. 2015;2:1500008

109. Patel KD, Singh RK, Kim H-W. Carbon-based nanomaterials as an emerging platform for theranostics. Mater Horiz. 2019;6:434-69

110. Laan KJvd, Hasani M, Zheng T, Schirhagl R. Nanodiamonds for in vivo applications. Small. 2018;14:1703838

111. Liu W, Yu F, Yang J, Xiang B, Xiao P, Wang L. 3D single-molecule imaging of transmembrane signaling by targeting nanodiamonds. Adv Funct Mater. 2016;26:365-75

112. Pham MD, Epperla CP, Hsieh C-L, Chang W, Chang H-C. Glycosaminoglycans-specific cell targeting and imaging using fluorescent nanodiamonds coated with viral envelope proteins. Anal Chem. 2017;89:6527-34

113. Chung CS, Chen CH, Ho MY, Huang CY, Liao CL, Chang W. Vaccinia virus proteome: Identification of proteins in vaccinia virus intracellular mature virion particles. J Virol. 2006;80:2127-40

114. Shih PC, Yang MS, Lin SC, Ho Y, Hsiao JC, Wang DR. et al. A turn-like structure "KKPE" segment mediates the specific binding of viral protein A27 to heparin and heparan sulfate on cell surfaces. Mater Horiz. 2009;284:36535-46

115. Laan KJvd, Naulleau J, Damle VG, Sigaeva A, Jamot N, Perona-Martinez FP. et al. Toward using fluorescent nanodiamonds to study chronological aging in saccharomyces cerevisiae. Anal Chem. 2018;90:13506-13

116. Lopez-Otin C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153:1194-217

117. Wu T-J, Tzeng Y-K, Chang W-W, Cheng C-A, Kuo Y, Chien C-H. et al. Tracking the engraftment and regenerative capabilities of transplanted lung stem cells using fluorescent nanodiamonds. Nat Nanotechnol. 2013;8:682

118. Hsu T-C, Liu K-K, Chang H-C, Hwang E, Chao J-I. Labeling of neuronal differentiation and neuron cells with biocompatible fluorescent nanodiamonds. Sci Rep. 2014;4:5004

119. Lin H-H, Lee H-W, Lin R-J, Huang C-W, Liao Y-C, Chen Y-T. et al. Tracking and finding slow-proliferating/quiescent cancer stem cells with fluorescent nanodiamonds. Small. 2015;11:4394-402

120. Jurgielewicz P, Harmsen S, Wei E, Bachmann MH, Ting R, Aras O. New imaging probes to track cell fate: Reporter genes in stem cell research. Cell Mol Life Sci. 2017;74:4455-69

121. Shwartz A, Betzer O, Kronfeld N, Kazimirsky G, Cazacu S, Finniss S. et al. Therapeutic effect of astroglia-like mesenchymal stem cells expressing glutamate transporter in a genetic rat model of depression. Theranostics. 2017;7:2690-703

122. Lee SB, Lee HW, Singh TD, Li Y, Kim SK, Cho SJ. et al. Visualization of macrophage recruitment to inflammation lesions using highly sensitive and stable radionuclide-embedded gold nanoparticles as a nuclear bio-imaging platform. Theranostics. 2017;7:926-34

123. Tavaré R, Escuin-Ordinas H, Mok S, McCracken MN, Zettlitz KA, Salazar FB. et al. An effective immuno-PET imaging method to monitor CD8-dependent responses to immunotherapy. Cancer Res. 2016;76:73-82

124. Stanton SE, Eary JF, Marzbani EA, Mankoff D, Salazar LG, Higgins D. et al. Concurrent SPECT/PET-CT imaging as a method for tracking adoptively transferred T-cells in vivo. J Immunother Cancer. 2016;4:27

125. Krebs S, Ahad A, Carter LM, Eyquem J, Brand C, Bell M. et al. Antibody with infinite affinity for in vivo tracking of genetically engineered lymphocytes. J Nucl Med. 2018;59:1894-900

126. Alici E, Konstantinidis KV, Aints A, Dilber MS, Abedi-Valugerdi M. Visualization of 5T33 myeloma cells in the C57BL/KaLwRij mouse: Establishment of a new syngeneic murine model of multiple myeloma. Exp Hematol. 2004;32:1064-72

127. Charoenphun P, Meszaros LK, Chuamsaamarkkee K, Sharif-Paghaleh E, Ballinger JR, Ferris TJ. et al. [89Zr]oxinate4 for long-term in vivo cell tracking by positron emission tomography. Eur J Nucl Med Mol Imaging. 2015;42:278-87

128. Diocou S, Volpe A, Jauregui-Osoro M, Boudjemeline M, Chuamsaamarkkee K, Man F. et al. [18F] tetrafluoroborate-PET/CT enables sensitive tumor and metastasis in vivo imaging in a sodium iodide symporter-expressing tumor model. Sci Rep. 2017;7:946

129. Fu Q, Zhu R, Song J, Yang H, Chen X. Photoacoustic imaging: Contrast agents and their biomedical applications. Adv Mater. 2019;31:1805875

130. Jiang Y, Upputuri PK, Xie C, Zeng Z, Sharma A, Zhen X. et al. Metabolizable semiconducting polymer nanoparticles for second near-infrared photoacoustic imaging. Adv Mater. 2019;31:1808166

131. Omar M, Aguirre J, Ntziachristos V. Optoacoustic mesoscopy for biomedicine. Nat Biomed Eng. 2019;3:354-70

132. Miao Q, Pu K. Organic semiconducting agents for deep-tissue molecular imaging: Second near-infrared fluorescence, self-luminescence, and photoacoustics. Adv Mater. 2018;30:1801778

133. Guo B, Chen J, Chen N, Middha E, Xu S, Pan Y. et al. High-resolution 3D NIR-II photoacoustic imaging of cerebral and tumor vasculatures using conjugated polymer nanoparticles as contrast agent. Adv Mater. 2019;31:1808355

134. Sheng Z, Guo B, Hu D, Xu S, Wu W, Liew WH. et al. Bright aggregation-induced-emission dots for targeted synergetic NIR-II fluorescence and NIR-I photoacoustic imaging of orthotopic brain tumors. Adv Mater. 2018;30:1800766

135. Zhang YS, Wang Y, Wang L, Wang Y, Cai X, Zhang C. et al. Labeling human mesenchymal stem cells with gold nanocages for in vitro and in vivo tracking by two-photon microscopy and photoacoustic microscopy. Theranostics. 2013;3:532-43

136. Gui C, Zhao E, Kwok RTK, Leung ACS, Lam JWY, Jiang M. et al. AIE-active theranostic system: Selective staining and killing of cancer cells. Chem Sci. 2017;8:1822-30

137. Li X, Peng XH, Zheng BD, Tang J, Zhao Y, Zheng BY. et al. New application of phthalocyanine molecules: From photodynamic therapy to photothermal therapy by means of structural regulation rather than formation of aggregates. Chem Sci. 2018;9:2098-104

138. Li CX, Zhang Y, Dong X, Zhang L, Liu MD, Li B. et al. Artificially reprogrammed macrophages as tumor-tropic immunosuppression-resistant biologics to realize therapeutics production and immune activation. Adv Mater. 2019;31:1807211

139. Li S-Y, Qiu W-X, Cheng H, Gao F, Cao F-Y, Zhang X-Z. A versatile plasma membrane engineered cell vehicle for contact-cell-enhanced photodynamic therapy. Adv Funct Mater. 2017;27:1604916

140. Zhang W, Wang M, Tang W, Wen R, Zhou S, Lee C. et al. Nanoparticle-laden macrophages for tumor-tropic drug delivery. Adv Mater. 2018;30:1805557

141. Liang J, Tang BZ, Liu B. Specific light-up bioprobes based on AIEgen conjugates. Chem Soc Rev. 2015;44:2798-811

142. Zou L, Wang H, He B, Zeng L, Tan T, Cao H. et al. Current approaches of photothermal therapy in treating cancer metastasis with nanotherapeutics. Theranostics. 2016;6:762-72

143. Dolmans DEJGJ, Fukumura D, Jain RK. Photodynamic therapy for cancer. Nat Rev Cancer. 2003;3:380-7

144. Wu W, Xu S, Qi G, Zhu H, Hu F, Liu Z. et al. A cross-linked conjugated polymer photosensitizer enables efficient sunlight-induced photooxidation. Angew Chem Int Ed Engl. 2019;58:3062-6

145. Tai C, Zhang S, Wang J, Yin Y, Shi J, Wu H. et al. Solar-induced generation of singlet oxygen and hydroxyl radical in sewage wastewaters. Environ Chem Lett. 2017;15:515-23

146. Mostafa S, Rosario-Ortiz FL. Singlet oxygen formation from wastewater organic matter. Environ Sci Technol. 2013;47:8179-86

147. Jiao X, Li Y, Niu J, Xie X, Wang X, Tang B. Small-molecule fluorescent probes for imaging and detection of reactive oxygen, nitrogen, and sulfur species in biological systems. Anal Chem. 2018;90:533-55

148. Hu F, Yuan Y, Mao D, Wu W, Liu B. Smart activatable and traceable dual-prodrug for image-guided combination photodynamic and chemo-therapy. Biomaterials. 2017;144:53-9

149. Li M, Gao Y, Yuan Y, Wu Y, Song Z, Tang BZ. et al. One-step formulation of targeted aggregation-induced emission dots for image-guided photodynamic therapy of cholangiocarcinoma. ACS Nano. 2017;11:3922-32

150. Zhang R, Sung SHP, Feng G, Zhang CJ, Kenry, Tang BZ. et al. Aggregation-induced emission probe for specific turn-on quantification of soluble transferrin receptor: An important disease marker for iron deficiency anemia and kidney diseases. Anal Chem. 2018;90:1154-60

151. Yuan Y, Zhang CJ, Gao M, Zhang R, Tang BZ, Liu B. Specific light-up bioprobe with aggregation-induced emission and activatable photoactivity for the targeted and image-guided photodynamic ablation of cancer cells. Angew Chem Int Ed Engl. 2015;54:1780-6

152. Yuan Y, Liu B. Visualization of drug delivery processes using AIEgens. Chem Sci. 2017;8:2537-46

153. Yuan Y, Zhang CJ, Xu S, Liu B. A self-reporting AIE probe with a built-in singlet oxygen sensor for targeted photodynamic ablation of cancer cells. Chem Sci. 2016;7:1862-6

154. Yuan Y, Zhang CJ, Liu B. A platinum prodrug conjugated with a photosensitizer with aggregation-induced emission (AIE) characteristics for drug activation monitoring and combinatorial photodynamic-chemotherapy against cisplatin resistant cancer cells. Chem Commun. 2015;51:8626-9

155. Li J, Huang J, Lyu Y, Huang J, Jiang Y, Xie C. et al. Photoactivatable organic semiconducting pro-nanoenzymes. J Am Chem Soc. 2019;141:4073-9

156. Yuan Y, Zhang C-J, Xu S, Liu B. A self-reporting AIE probe with a built-in singlet oxygen sensor for targeted photodynamic ablation of cancer cells. Chem Sci. 2016;7:1862-6

157. Ogilby PR. Singlet oxygen: There is indeed something new under the sun. Chem Soc Rev. 2010;39:3181-209

158. Nguyen QTTsien RY. Fluorescence-guided surgery with live molecular navigation — a new cutting edge. Nat Rev Cancer. 2013;13:653

159. Yun SH, Kwok SJJ. Light in diagnosis, therapy and surgery. Nat Biomed Eng. 2017;1:0008

160. Zhang P, Zhao Z, Li C, Su H, Wu Y, Kwok RTK. et al. Aptamer-decorated self-assembled aggregation-induced emission organic dots for cancer cell targeting and imaging. Anal Chem. 2018;90:1063-7

161. Shi X, Yu CYY, Su H, Kwok RTK, Jiang M, He Z. et al. A red-emissive antibody-AIEgen conjugate for turn-on and wash-free imaging of specific cancer cells. Chem Sci. 2017;8:7014-24

162. Ni J-S, Zhang P, Jiang T, Chen Y, Su H, Wang D. et al. Red/NIR-emissive benzo[d]imidazole-cored AIEgens: Facile molecular design for wavelength extending and in vivo tumor metabolic imaging. Adv Mater. 2018;30:1805220

163. Zhang P, Jiang T, Li Y, Zhao Z, Gong P, Cai L. et al. Bio-orthogonal AIE dots based on polyyne-bridged red-emissive AIEgen for tumor metabolic labeling and targeted imaging. Chem Asian J. 2019;14:770-4

164. Yuan Y, Xu S, Cheng X, Cai X, Liu B. Bioorthogonal turn-on probe based on aggregation-induced emission characteristics for cancer cell imaging and ablation. Angew Chem Int Ed Engl. 2016;55:6457-61

165. Hu F, Yuan Y, Wu W, Mao D, Liu B. Dual-responsive metabolic precursor and light-up AIEgen for cancer cell bio-orthogonal labeling and precise ablation. Anal Chem. 2018;90:6718-24

166. Hu F, Mao D, Kenry, Cai X, Wu W, Kong D. et al. A light-up probe with aggregation-induced emission for real-time bio-orthogonal tumor labeling and image-guided photodynamic therapy. Angew Chem Int Ed Engl. 2018;57:10182-6

167. Zhu S, Yang Q, Antaris AL, Yue J, Ma Z, Wang H. et al. Molecular imaging of biological systems with a clickable dye in the broad 800- to 1,700-nm near-infrared window. Proc Natl Acad Sci U S A. 2017;114:962-7

168. Wang H, Wang R, Cai K, He H, Liu Y, Yen J. et al. Selective in vivo metabolic cell-labeling-mediated cancer targeting. Nat Chem Biol. 2017;13:415-24

169. Jun JV, Haney CM, Karpowicz RJ Jr, Giannakoulias S, Lee VM, Petersson EJ. et al. A "clickable" photoconvertible small fluorescent molecule as a minimalist probe for tracking individual biomolecule complexes. J Am Chem Soc. 2019;141:1893-7

170. Mao D, Hu F, Kenry, Ji S, Wu W, Ding D. et al. Metal-organic-framework-assisted in vivo bacterial metabolic labeling and precise antibacterial therapy. Adv Mater. 2018;30:1706831

171. Guo B, Sheng Z, Hu D, Li A, Xu S, Manghnani PN. et al. Molecular engineering of conjugated polymers for biocompatible organic nanoparticles with highly efficient photoacoustic and photothermal performance in cancer theranostics. ACS Nano. 2017;11:10124-34

172. Qi J, Fang Y, Kwok RTK, Zhang X, Hu X, Lam JWY. et al. Highly stable organic small molecular nanoparticles as an advanced and biocompatible phototheranostic agent of tumor in living mice. ACS Nano. 2017;11:7177-88

173. Wang Z, Zhen X, Upputuri PK, Jiang Y, Lau J, Pramanik M. et al. Redox-activatable and acid-enhanced nanotheranostics for second near-infrared photoacoustic tomography and combined photothermal tumor therapy. ACS Nano. 2019;13:5816-25

174. Zou Q, Abbas M, Zhao L, Li S, Shen G, Yan X. Biological photothermal nanodots based on self-assembly of peptide-porphyrin conjugates for antitumor therapy. J Am Chem Soc. 2017;139:1921-7

175. Li J, Xie C, Huang J, Jiang Y, Miao Q, Pu K. Semiconducting polymer nanoenzymes with photothermic activity for enhanced cancer therapy. Angew Chem Int Ed Engl. 2018;57:3995-8

176. Liu C, Zhang S, Li J, Wei J, Mullen K, Yin M. A water-soluble, NIR-absorbing quaterrylenediimide chromophore for photoacoustic imaging and efficient photothermal cancer therapy. Angew Chem Int Ed Engl. 2019;58:1638-42

177. Zhang L, Zhang Y, Xue Y, Wu Y, Wang Q, Xue L. et al. Transforming weakness into strength: Photothermal-therapy-induced inflammation enhanced cytopharmaceutical chemotherapy as a combination anticancer treatment. Adv Mater. 2019;31:1805936

178. Cai X, Liu J, Liew WH, Duan Y, Geng J, Thakor N. et al. Organic molecules with propeller structures for efficient photoacoustic imaging and photothermal ablation of cancer cells. Mater Chem Front. 2017;1:1556-62

179. Zhang K, Yang Z, Meng X, Cao Y, Zhang Y, Dai W. et al. Peroxidase-like Fe3O4 nanocomposite for activatable reactive oxygen species generation and cancer theranostics. Mater Chem Front. 2018;2:1184-94

180. Lyu Y, Cui D, Sun H, Miao Y, Duan H, Pu K. Dendronized semiconducting polymer as photothermal nanocarrier for remote activation of gene expression. Angew Chem Int Ed Engl. 2017;56:9155-9

181. Guo B, Sheng Z, Hu D, Liu C, Zheng H, Liu B. Through scalp and skull NIR-II photothermal therapy of deep orthotopic brain tumors with precise photoacoustic imaging guidance. Adv Mater. 2018;30:1802591

182. Sun T, Chen X, Wang X, Liu S, Liu J, Xie Z. Enhanced efficacy of photothermal therapy by combining a semiconducting polymer with an inhibitor of a heat shock protein. Mater Chem Front. 2019;3:127-36

183. Curcio A, Silva AKA, Cabana S, Espinosa A, Baptiste B, Menguy N. et al. Iron oxide nanoflowers @ CuS hybrids for cancer tri-therapy: Interplay of photothermal therapy, magnetic hyperthermia and photodynamic therapy. Theranostics. 2019;9:1288-302

184. Lu GH, Shang WT, Deng H, Han ZY, Hu M, Liang XY. et al. Targeting carbon nanotubes based on IGF-1R for photothermal therapy of orthotopic pancreatic cancer guided by optical imaging. Biomaterials. 2019;195:13-22

185. Wang S, Riedinger A, Li H, Fu C, Liu H, Li L. et al. Plasmonic copper sulfide nanocrystals exhibiting near-infrared photothermal and photodynamic therapeutic effects. ACS Nano. 2015;9:1788-800

186. Cao Z, Feng L, Zhang G, Wang J, Shen S, Li D. et al. Semiconducting polymer-based nanoparticles with strong absorbance in NIR-II window for in vivo photothermal therapy and photoacoustic imaging. Biomaterials. 2018;155:103-11

187. Li J, Jiang R, Wang Q, Li X, Hu X, Yuan Y. et al. Semiconducting polymer nanotheranostics for NIR-II/photoacoustic imaging-guided photothermal initiated nitric oxide/photothermal therapy. Biomaterials. 2019;217:119304

188. Jiang Y, Li J, Zhen X, Xie C, Pu K. Dual-peak absorbing semiconducting copolymer nanoparticles for first and second near-infrared window photothermal therapy: A comparative study. Adv Mater. 2018;30:1705980

189. Wang Y, Xu C, Ow H. Commercial nanoparticles for stem cell labeling and tracking. Theranostics. 2013;3:544-60

190. Edmundson M, Thanh NT, Song B. Nanoparticles based stem cell tracking in regenerative medicine. Theranostics. 2013;3:573-82

191. Zhou Y, Wang D, Zhang Y, Chitgupi U, Geng J, Wang Y. et al. A phosphorus phthalocyanine formulation with intense absorbance at 1000 nm for deep optical imaging. Theranostics. 2016;6:688-97

192. Wan H, Yue J, Zhu S, Uno T, Zhang X, Yang Q. et al. A bright organic NIR-II nanofluorophore for three-dimensional imaging into biological tissues. Nat Commun. 2018;9:1171

Author contact

Corresponding address Corresponding authors: Bin Liu ( and Kai Li (

Received 2019-9-2
Accepted 2019-11-12
Published 2020-1-12