Open Access
1 September 2005 Whole-body fluorescence lifetime imaging of a tumor-targeted near-infrared molecular probe in mice
Author Affiliations +
Abstract
Fluorescence lifetime imaging can provide valuable diagnostic information relating to the functional status of diseases. In this study, a near-infrared (NIR) dye-labeled hexapeptide (abbreviated Cyp-GRD) was synthesized. In vitro, Cyp-GRD internalized in nonsmall cell lung cancer cells (A549) without observable cytotoxic or proliferative effects to the cells at a concentration up to 1×10–4 M. Time-domain fluorescence intensity and lifetime imaging of Cyp-GRD injected into A549 tumor-bearing mice revealed that the probe preferentially accumulated in the tumor and the major excretion organs. The fluorescence lifetime of the conjugate at the tumor site was mapped, showing the spatial distribution of the lifetime related to its environment. Additionally, fluorescence intensity image reconstruction obtained by integrating the time-resolved intensities enabled the contrast ratios of tumor-to-kidney or liver in slices at different depths to be displayed. The mean lifetime was 1.03 ns for the tumor and 0.80 ns for the liver when averaging those pixels exhibiting adequate signal-to-noise ratio, showing the tumor had a higher lifetime average and reflecting the altered physiopathology of the tumor. This study clearly demonstrated the feasibility of whole-body NIR fluorescence lifetime imaging for tumor localization and its spatial functional status in living small animals.

1.

Introduction

Advances in molecular biology methods that utilize fluorescence techniques have facilitated the elucidation of the molecular basis of diseases. Fluorescence techniques are attractive because they are highly sensitive, with the capability to detect picomoles of light-emitting fluorophores in heterogeneous mediums.1, 2, 3 As a result, aberrant molecular events that indicate early manifestation of diseases can be assessed by tissue-specific fluorescent-labeled biomolecules. A variety of such molecules that target specific disease mechanisms and markers have been developed and used for in vitro and in vivo studies of molecular and cellular processes.4, 5, 6, 7, 8, 9, 10

These studies can be performed by different fluorescence imaging techniques. Among these, fluorescence intensity imaging has been used to localize diseased tissues with high resolution.2, 3, 11 Recent studies have shown that fluorescence molecular tomography (FMT) can quantify and localize fluorophore distribution in small animals. In addition, the FMT method has been used to provide valuable information on the functional status of the target tissue.12

Another fluorescence imaging technique relies on environment-dependent changes in the fluorescence lifetimes of fluorophores. In vivo, tissue heterogeneity within and between organs can lead to changes in fluorophore lifetimes. This heterogeneity is particularly useful for identifying cancerous tissues and differentiating them from normal cells because of the inherent differences in the physiological needs of tumor and normal cells. For example, the differences can be manifested in extracellular pH distribution, blood flow, tissue oxygen and nutrient supply, bioenergetic status, and temperature.13, 14, 15 A combination of these factors can provide measurable changes at the molecular level, which may alter fluorophore lifetimes. Monitoring such changes can be useful in diagnosing malignancies and developing techniques for drug targeting to tumors.

Fluorescence lifetime imaging (FLI) is a valuable tool for localizing diseased tissues and investigating their functional status because the method is less dependent on transient changes in the local concentration of the fluorophore but can be highly sensitive to physiologic environment.16 Furthermore, artifacts arising from instrumentation can be readily detected and removed from the image when their lifetimes are drastically different from those of the molecular reporter. Unlike intensity measurements, however, FLI measures the energy transfer rate from the excited state of the molecular probe to its immediate environment. Thus, in combination with fluorescence intensity measurements, FLI could be useful for simultaneously localizing and quantifying molecular and metabolic processes in living organisms and assessing the functional status of the target tissue.

The primary goal of this study is to demonstrate the feasibility of imaging the distribution of a NIR tumor-specific molecular probe in tumor-bearing mice by fluorescence lifetime method. To be successful, there is a need to develop light-emitting molecular probes that interact with target biomolecules or report on the functional status of diseased tissues with high specificity and selectivity. The molecular probes may possess a lifetime (τ) different from endogenous fluorophores or alter their τ in response to changes in their biological microenvironment. For in vivo studies, molecular optical imaging in the near-infrared (NIR) wavelengths is attractive because the contributions of nonspecific endogenous chromophores to the lifetime data are reduced in this region. Consequently, a tumor-specific NIR molecular probe was synthesized to increase the specificity and sensitivity of imaging tumors in living mice. The fluorescence intensity and lifetime maps were obtained by using a time-domain diffuse optical tomography (DOT) imager. The results show that the lifetime map of the probe distribution is comparable to that of the intensity image. Slight differences in the lifetimes of the tumor and liver were observed, indicating the feasibility of localizing cancers and monitoring their functional status by this imaging method.

2.

Materials and Methods

All reagents and solvents were obtained from commercial vendors and were used without further purification. Amino acids were purchased from Novabiochem (San Diego, CA). The new peptides were purified and analyzed on a high-performance liquid chromatography (HPLC) system equipped with a tunable UV-visible detector. Analytical (flow rate=0.5mLmin ) and semipreparative (flow rate=10mLmin ) HPLC were performed on C-18 columns and detected at 214 and 254nm . The compound was purified by using a 30-min linear gradient elution protocol starting from a mixture of 95% A [0.1% aqueous trifluoroacetic acid (TFA)] and 5% B (acetonitrile containing 0.1% TFA) to 30% A and 70% B. The HPLC purity of the molecular probe used for the in vivo and in vitro studies was > 95% . Electrospray ionization mass spectrometry (ESI-MS) analysis was performed on a mass spectrometer (Shimadzu Scientific Instruments, Inc., Columbia, MD).

2.1.

Synthesis of Cypate

The NIR fluorescent dye Cypate [Fig. 1(a) ] was prepared by using an improved method described in the literature.17 The compound was purified by flash chromatography and about 6g (85%) of Cypate was obtained, which was further purified by recrystallization from 30% acetonitrile in water to give the desired compound in > 95% HPLC purity.

2.2.

Linear Peptide Synthesis and Conjugation with Cypate

ACT APEX 396 peptide synthesizer was used to prepare the peptide by a standard fluorenylmethyl (Fmoc) protocol,18 as described previously.19, 20 Conjugation of the dye with the peptide at the N -terminus was performed on solid support. After peptide assembly (25μmol) , the N -terminal Fmoc group was removed with 20% piperidine in dimethylformamide (DMF). Cypate (75μmol) was preactivated with diisopropyl carbodiimide (DIC) (125μmol) in DMF (2mL) for 20min and added to the resin-bound peptide. Cleavage of the conjugate from the resin and concomitant removal of the amino acid side-chain protecting groups were accomplished by adding a cleavage mixture (1mL) of TFA (85%), distilled water (5%), phenol (5%), and thioanisole (5%) to the resin and gently mixing the content for 3h . The resulting green powder was purified by HPLC to give the desired compound Cypate-Gly-Arg-Asp-Ser-Pro-Lys-OH (Fig. 1(b), abbreviated Cyp-RGD; 6.4mg , 4.84μmol ) in 19% isolated yield. The molecular probe was characterized by ESI-MS, HPLC, and spectral analysis (Fig. 2 ).

Fig. 2

Absorption and fluorescence emission spectra of Cyp-GRD in 20% aqueous DMSO solution.

054003_1_014505jbo2.jpg

2.3.

Cell Culture

The human nonsmall cell carcinoma cells A549, which are positive for integrin expression,21 were purchased from ATCC and grown in 75-cm tissue culture flasks or on Lab-Tek chambered slides in Ham’s F12K medium with 2mM L-glutamine supplemented with 1.5gL sodium bicarbonate, 10% fetal calf serum, 100unitsml Penicillin, and 100unitsmL Streptomycin.

2.4.

Cytotoxicity MTT Assay

Cytotoxicity assays were performed using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) in vitro toxicology assay kit (Sigma, St. Louis, MO). Briefly, A549 cells were grown on 96 well plates to 75% confluence in phenol red free Dulbecco’s Modified Eagle’s Medium supplemented with 10% fetal calf serum, 100unitsmL Penicillin, and 100unitsmL Streptomycin. A concentration range of 0to125μM Cyp-GRD was added to each well for a final volume of 100μL /well and the cells were incubated for 24h at 37°C in 5% CO2 . After incubation, the media was removed and replaced with 100μL /well phenol red free medium. Absorbances at 570nm and 690nm were measured. MTT (10μL) was added to each well and the cells were incubated for 2h . MTT solubilization solution ( 100μL , formazan crystals dissolved in 0.04M HCl in 2-propanol) was added to each well and formazan crystals were dissolved by vigorous mixing. Absorbances at 570nm and 690nm were measured. The Δ570 and Δ690 were determined by taking the difference of the absorbance before and after the addition of MTT. The percent of viable cells B [Fig. 3(a) ] was determined according to:

Eq. 1

B=(λΔ570λΔ690)treated(λΔ570λΔ690)untreated×100
where λΔ570 is the absorbance of formazan crystals at 570nm and λΔ690 is the background at 690nm .

Fig. 3

(a) Measurement of cytotoxicity of Cyp-GRD by the MTT assay at 24h postincubation. (b) CyQUANT cell proliferation assay.

054003_1_014505jbo3.jpg

2.5.

Cell Proliferation Assay

Cells were seeded at a concentration of 2.5×104 cells/well and grown in 96 well plates in the presence of varying concentrations of Cyp-GRD (0to5×104M) and incubated for 24 or 48h . Cell proliferation was measured by using the CyQUANT proliferation assay kit (Molecular Probes, Eugene, OR), as described elsewhere.22 Briefly, after incubation, the microplate was inverted to remove the media and frozen at 70°C overnight. The microplate was thawed at room temperature and 200μL of the CyQUANT GR dye in cell-lysis buffer was added to each well. After incubating the mixture for 5min at room temperature in the dark, the fluorescence was measured using a Synergy HT plate reader (BioTek, Winooski, VT) at 485-nm and 520-nm excitation and emission wavelengths, respectively. The results were expressed as percentages of untreated control [Fig. 3(b)].

2.6.

Animal Preparation

All in vivo studies were performed in compliance with the Washington University Animal Study Committee’s requirements for the care and use of laboratory animals in research. Nude mice (18to22g) were anesthetized with a xylazine/ketamine cocktail via intraperitoneal injection and placed in a supine position. The mice were injected subcutaneously in the lower back of the mice with 1×106 A549 cells. Tumor masses were palpable at 5to7days postimplant, reaching 5mm in 10to15days . Prior to injection of the molecular probe, the nude mice were anesthetized as described above. The mice were injected retro-orbitally with the Cyp-GRD in 20% aqueous DMSO solution (100μL) at a dosage of 0.3μmolkg body weight of the rodent.

2.7.

In vivo Optical Imaging Studies

A schematic diagram of the eXplore Optix imaging system used for this study is shown in Fig. 4 . The distribution of Cyp-GRD in the A549 tumor-bearing mice were imaged by positioning the mice on the animal plate, which was heated to 36°C in the eXplore Optix system (ART Advanced Research Technologies Inc., Montreal, Canada). Two-dimensional regions of interest were selected with the aid of a top real-time digital camera. The height of the animal was verified by a side digital camera to ensure the animal was in the correct plane of the imaging optics. The animal was automatically moved into the imaging chamber for scanning. Laser power and count time settings were optimized at 6.71e-005μW and 0.3s per point. These parameters were kept constant throughout the imaging sessions.

Fig. 4

The animal is positioned on the animal table and a region of interest is selected via a top and side live camera (vision camera). The animal is then translated into the imaging section of the system where the optics are housed. Configured in reflection geometry, the illumination source and detector point(s) are scanned over the region of interest via galvanometer mirrors. Illumination is achieved via a pulsed laser diode. Photons are detected by filtering the appropriate wavelength onto a photomultiplier tube (PMT) detector and through a time-correlated single photon counting board (TCSPC).

054003_1_014505jbo4.jpg

Excitation and emission spots were raster scanned in 1.5-mm steps over the selected region of interest to generate emission wavelength scans. In the topographic mode, each measurement consisted of a single source-detector pair distanced by 3mm . Thus in this mode, the number of sources and detectors (source-detector pairs configuration) are equal. There were 216 such points taken for the scans performed in this experiment. This pattern was scanned over the mouse by moving the excitation beam controlled by galvomirrors. A 780-nm pulsed laser diode with a repetition frequency of 80MHz and a time resolution of 250ps (PicoQuant GmbH, Berlin, Germany) was used to excite the molecular probe. The fluorescence emission at 830nm was collected and detected through a fast photomultiplier tube (Hammamatsu, Japan) and a time-correlated single photon counting system (Becker and Hickl GmbH, Berlin, Germany). The data were recorded as temporal point-spread functions (TPSF) and the images were reconstructed as fluorescence intensity and lifetime maps.

The time-resolved fluorescence light intensity detected at the tissue surface is not only dependent on the concentration of fluorophores but is a function of the scattering and absorption coefficients at the excitation and emission wavelengths, as well as the quantum efficiency, fluorescence absorption, and the 3D location of the probes. This is because biological tissues scatter light in the visible and NIR wavelengths. Rather complicated theoretical models have been proposed to describe such processes.4, 23, 24, 25 However, for a small source-detector separation, for which the average penetration depth of photons was on the order of a few millimeters and for fluorescence lifetime (on the order of ns), the tail of the TPSF is dominated by the temporal delay caused by the lifetime (Fig. 5 ). Intuitively, it can be seen that the full-width half maximum (FWHM) of the underlying TPSF, without convolution with the lifetime decay, is much smaller than the lifetime decay when photons travel distances of the order of millimeters and the lifetime is larger than 0.35ns . This can also be quantified by using a Born approximation to the fluorescence lifetime and simulating TPSF curves.26 Thus, the resulting measured curves are asymptotically log-linear dominated by the lifetime decay. An estimate of the lifetime of the fluorophore (for each measurement point) is then obtained by measuring the decay of the TPSF and fitting the tail to the form:

Eq. 2

Aexp(tτ).

Fig. 5

(a) A typical TPSF curve of Cyp-GRD from a tumor region in a nude mouse at 24h postinjection. (b) Fluorescence lifetime distribution of Cyp-GRD in a nude mouse at 24h postinjection. The large signal at 0ns was obtained from tissues devoid of the probe.

054003_1_014505jbo5.jpg

The effect of the system impulse function has been reported elsewhere,26 and was shown to have a negligible effect in that range of fluorophore lifetimes. Thus, the map of lifetime images was obtained by simply fitting the log-linear tail of the TPSF and obtaining the characteristic time at each point.

The in vivo fluorescence intensity and lifetime of the molecular probe were extracted from the TPSF using different properties of the accumulated curve [Fig. 5(a)]. Since the distances traveled by light were small in this case, the lifetime of Cyp-GRD was fully expressed by the decay of the curve at longer times. A histogram representing the distribution of the lifetimes in the image is shown in Fig. 5(b). To obtain this histogram, all of the zero lifetime regions, representing points with no signal from the molecular probe, were discarded. The fluorescence lifetime map was constructed based on the mono-exponential decay [Fig. 5(b)].

TPSFs were also used to reconstruct the 3D concentration of the probe.27 Reconstruction was performed by discretizing the convolution expression of photon trajectories and lifetime delay and using the temporal moments to create a linear relation between the concentration of the fluorophore and the measurements. The photon trajectories here are modeled by taking into account the first order interaction between the light and the fluorophore (Born approximation). An expression for the Laplace transform of the detected light at position rd given a delta excitation at position rs is

Eq. 3

Φλ2(rs,rd,s)=Vd3rG1(rsr,s)QeffC(r)1+sτG2(rdr,s).
Here, the quantum efficiency is given by Qeff=qηε where q is the quenching coefficient, η the quantum yield, and ε the extinction coefficient of the fluorophore. Propagation of light at different wavelengths is described by different propagators [ G1(rdr,s) and G2(rdr,s) ], which are assumed to be equal in this case. By taking derivatives with respect to the Laplace parameter, s , one can build moments of the temporal distribution and show how they can be deconvolved. Full details of the inversion are provided in separate work.27

Inversion was performed by minimizing the least square distance between the measurements and the model. The first two moments were used for inversion. To obtain unit consistency, the first moment was renormalized by the intensity in the inversion process. Details of the mathematics and procedures are described by Lam 27 This approach avoided the necessity to compute an instrument calibration factor, with the drawback that a relative concentration was computed.

3.

Results and Discussion

3.1.

Tumor-Specific Molecular Probe (Cyp-GRD)

Indocyanine green (ICG) is the only NIR fluorescent dye currently approved for use in humans by the US Food and Drug Administration. For this reason, it is widely used in contrast agent-mediated NIR optical imaging of human patients.28, 29 Unfortunately, ICG is a nonspecific contrast agent and does not possess reactive functional groups needed to conjugate it with biological carriers to enhance target specificity in vivo. These limitations have led to the development of reactive NIR fluorescent dyes, such as Cypate and other carbocyanines for labeling biomolecules. Cypate has similar spectral and biodistribution properties similar to ICG.20, 30 Cypate is primarily excreted by the hepatobiliary system and requires conjugation to a disease-specific carrier to increase the specificity of the molecular probe. Recently, we found that a Cypate-labeled hexapeptide, abbreviated Cyp-RGD (Fig. 1), was preferentially retained in αvβ3 integrin receptor-positive tumor (A549).31 Its retention in this tumor can be inhibited by RGD peptide ligands known to bind with high affinity to this receptor. In contrast to the widely used cyclic RGD peptides, which require an additional cyclization step to obtain the peptide carrier, the hexapeptide used to prepare Cyp-GRD is linear, which facilitates the complete preparation of the tumor-specific molecular probe on solid support. Figure 2 shows that the spectral properties of Cyp-GRD (λmaxab785nm , λmaxem817nm , εmaxab237,680cm1Mol1) in 20% aqueous dimethyl sulfoxide (DMSO) are similar to those of the nonconjugated dye Cypate (λmaxab786nm , λmaxem811nm , εmaxab244,400cm1Mol1) , which has been used to prepare several biocompatible optical molecular probes.19, 20 Previous studies have shown that aqueous DMSO solution boosted fluorescence intensity and was well tolerated by rodents.20, 30 The spectral widow of Cyp-GRD allows its use for optical imaging with the fixed wavelength time-domain DOT system. Therefore, Cyp-GRD is attractive for NIR fluorescence lifetime imaging study because of the ease of synthesis, high uptake by the human lung epithelial carcinoma in mice, and suitable spectral properties.

Fig. 1

Structures of (a) Cypate and (b) Cyp-GRD.

054003_1_014505jbo1.jpg

3.2.

Cytotoxicity and Cell Proliferation Effects of Cyp-GRD

Molecular contrast agents for in vivo imaging should enhance the localization and assessment of the functional status of diseases without interfering with the inherent cell growth and functions. Cytotoxicity and proliferation tests provide key information on the suitability of molecular probes for in vivo applications. It was necessary to assess these parameters because Cyp-GRD is a new molecular probe. The assays were analyzed at 24h and 48h because we typically complete our in vivo optical imaging studies within 36h postinjection of the molecular probe. The MTT test, which determines cell viability, measures the metabolic activity of mitochondrial dehydrogenases.32 Incubation of varying concentrations of Cyp-GRD with A549 cells for 24h and subsequent MTT assay showed that the molecular probe was not cytotoxic to these cells up to 1×104M [Fig. 3(a)]. Similarly, the CyQUANT cell proliferation assay, which provides cell density information by quantifying the nucleic acids present in a given cell population, showed that Cyp-GRD did not induce cell proliferation at 24h post-incubation [Fig. 3(b)]. A transient increase in cell density was observed between 1×1011 and 1×1010M after incubating A549 cells with Cyp-GRD for 48h . This increase returned to normalcy at 1×108M of the probe. Because most imaging studies are expected to be completed within 24h after administering the probe to living organisms, the MTT and CyQUANT assays demonstrate the biocompatibility of Cyp-GRD for in vivo imaging. The results also suggest that a wide range of Cyp-GRD’s concentrations are safe for use in animals.

3.3.

Fluorescence Lifetime and Intensity Imaging of Cyp-GRD Distribution in Mice

Accurate measurement of the distribution of Cyp-GRD in animals by optical methods can be used to localize integrin receptor-positive tumors and characterize tumor heterogeneity. We used a time-domain optical imaging system for this study (Fig. 4). A typical in vivo TPSF curve of Cyp-GRD shown in Fig. 5(a) was used to obtain the fluorescence intensity and lifetime maps. A histogram representing the distribution of the lifetimes in the image is shown in Fig. 5(b). Variations of this distribution were observed at different regions of the mice.

The fluorescence lifetime image (FLI) of the whole mouse at 24h postinjection showed that the molecular probe selectively localized in the target tumor tissue and in the primary excretion organs, the liver and kidneys (Fig. 6 ). The FLI also delineated the liver from the left kidney but not the right kidney. This image was in agreement with mouse anatomy because the right kidney is closer to the liver than the left kidney. Note that the higher values for lifetime in the left part of the liver were due to noisy signals (lower fluorescence) in that region. Points with inadequate fluorescence to evaluate lifetime were not represented in Fig. 6.

Fig. 6

NIR fluorescence lifetime image of Cyp-GRD distribution in an A549-tumor-bearing mouse at 24h postinjection.

054003_1_014505jbo6.jpg

The mean lifetime average of the tumor over eight localized scan points was 1.03ns , with a minimum τ of 0.76ns and a maximum τ of 1.5ns . However, the mean lifetime average of the liver over eight scan points was 0.80ns , with a minimum τ of 0.74ns and a maximum τ of 0.85ns . The tumor had a higher lifetime average, which can be related to higher pH or hypoxic status.33 A previous study had shown that lifetime of protoporphyrin IX increased from 5ns in normal tissue to 18ns in neoplastic tissue.8 Therefore, lifetime maps can be used to delineate tumor tissues in vivo.

A similar FLI biodistribution pattern was obtained by fluorescence intensity imaging (Fig. 7 ). The molecular probe preferentially localized in the tumor tissue, the kidneys (the major excretion organ), and to some extent the liver. The ex vivo image of the organ parts showed that the amount of Cyp-GRD in the liver was low. Optimization of the molecular probe design can lower the amount of the fluorescent probe retained by the kidneys after 24h of administering the contrast agent.

Fig. 7

Fluorescence intensity image of the distribution of Cyp-GRD in an A549 tumor-bearing mouse at 24h postinjection. Note that the tumor has a significant fluorescence signal.

054003_1_014505jbo7.jpg

Figures 8 and 9 were constructed by showing the intensity either in slices cut along the axial axis or through a ray-casting method on the volume. The main advantage of using moments for the inversion was the possibility to deconvolve additively the effects of the impulse response function (IRF) as well as the lifetime decay. To compare tumor and normal tissues, the images were represented as 2D slices in the Z axis, starting at Z=0mm (dorsal skin of the mouse) to about 7mm deep (Fig. 8).27, 34 The images gave detailed information on the distribution of the molecular probe in the tumor relative to surrounding normal tissues. Particularly, the ratio of the tumor-to-kidney or liver increased in the Z direction, with the largest contrast observed between 3 and 6mm deep. Table 1 summarizes the depth recovery parametric information obtained by taking the maximal voxel of the volumetric reconstruction for each organ.

Fig. 9

Volumetric representation through ray-casting of the volume of the tumor and major excretion organs.

054003_1_014505jbo9.jpg

Fig. 8

2D slices of the image from Fig. 6 reconstruction in the Z direction.

054003_1_014505jbo8.jpg

Table 1

Parametric information from the reconstruction, the maximal voxel in the region under consideration.

ParameterLiverKidneyTumor
Depth (mm)543
Conc. relative to tumor0.530.881

A 3D volumetric representation of the probe distribution in the tumor and major excretion organs is shown in Fig. 9. This volumetric rendition of the biodistribution was obtained through ray-casting, which is similar to a maximum intensity projection.

4.

Summary

This study has clearly demonstrated the feasibility of using a tumor-specific NIR molecular probe to obtain whole-body FLI in living animals. The FLI image was similar to that of fluorescence intensity, thus providing a complementary method to assess molecular events in vivo. Displaying the images in two dimensions allowed the depth profile of the probe distribution to be assessed noninvasively. This representation may be useful for the longitudinal monitoring of tumor response to chemotherapy and radiotherapy. The mean lifetime average of the tumor was 1.03ns and the liver was 0.80ns , showing the tumor had a higher lifetime average. Molecular probes that respond to molecular processes are necessary to localize the probe and provide real-time information on the functional status of the target tissue and are being studied. The fluorescence lifetime differences between normal and tumor tissues would be larger when the biodistribution of highly pH- or other environment-sensitive molecular probes are imaged by FLI.

Acknowledgments

This study was supported by the National Science Foundation (BES-01194889) and the National Institutes of Health (R01 CA109754 and R24 CA83060).

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©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
Sharon R. Bloch, Frédéric Lesage, Laura McIntosh, Amir H. Gandjbakhche, Kexiang Liang, and Samuel Achilefu "Whole-body fluorescence lifetime imaging of a tumor-targeted near-infrared molecular probe in mice," Journal of Biomedical Optics 10(5), 054003 (1 September 2005). https://doi.org/10.1117/1.2070148
Published: 1 September 2005
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Cited by 145 scholarly publications and 3 patents.
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KEYWORDS
Tumors

Luminescence

Tissues

Fluorescence lifetime imaging

In vivo imaging

Liver

Near infrared

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