<i>In vivo</i>Image Flow Cytometry

Tuchin, Valery V.; Galanzha, Ekaterina I.; Zharov, Vladimir P.

doi:10.1002/9783527634286.ch14

Cited by 14 publications

(18 citation statements)

References 97 publications

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“…Traditional flow cytometry (FC) is used routinely to acquire quantitative information about specific cell populations at high throughput, and has found extensive clinical applications in diagnostic pathology [1,2]. However, blood extraction in conventional FC is invasive and the extensive processing required by in vitro detection can introduce potential artifacts [3].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, blood sampling reduces the sensitivity of capturing rare cells (such as circulating tumor cells) and prevents the long-term study of cell metabolism in their native complex biological environment [4]. In fact, detection and quantification of rare circulating cells in vivo are very important for early diagnosis of diseases (such as cancer, stroke, and inflammation), and long-term study is necessary for probing the biology of circulating cells during disease progression, and for studying cellular response to therapy (such as drugs and radiation) [1,[3][4][5][6][7][8][9]. To this end, several methods of in vivo FC have been developed to continuously monitor circulating cells in live animals without affecting the physiology of the subject, and found applications in many biomedical studies, such as cancer, immunology, and stem cells [3][4][5][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…A drawback of in vivo FC is that it generally provides little morphological information (such as the size, shape, morphology, and deformability of circulating cells), which can potentially be new biological marker that is sensitive to early disease development [13,14]. The recent advent of in vivo imaging FC [8,15], or flow cytography [14], enables researchers to record morphologies and intercellular interactions of trafficking cells in situ [1,16]. Wide-field imaging based FC has been demonstrated to distinguish potential cellular clusters [15], and to assess cellular morphology and deformability in the native biological environment [8].…”

Section: Introductionmentioning

confidence: 99%

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Multicolor multiphoton in vivo imaging flow cytometry

Kong¹,

Tang²,

Cui³

2016

Opt. Express

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Abstract:In vivo flow cytometry provides a non-invasive way of probing the biology of circulating cells during disease progression and studying cellular response to therapy. However, current methods provide little morphological information which potentially could be new biological marker for early disease diagnosis, and fail to reveal intercellular interactions. Here we report a multi-color, multiphoton in vivo imaging flow cytometry, to image circulating cells within the vasculature of scattering tissues at high spatiotemporal resolution. We apply it in imaging of cellular dynamics in bone marrow through the intact mouse skull, in situ deformability cytometry, distinguishing cellular clusters, and simultaneously monitoring multiple types of trafficking cells based on their morphologies and fluorescence emission colors. Cote, and C. P. Lin, "In vivo cell tracking with video rate multimodality laser scanning microscopy," IEEE J. Sel. Top. Quantum Electron. 14(1), 10-18 (2008). ©2016 Optical Society of America

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multicolor multiphoton in vivo imaging flow cytometry

Kong¹,

Tang²,

Cui³

2016

Opt. Express

View full text Add to dashboard Cite

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“…[19][20][21] Other IVFC variants have also been developed, including multiphoton IVFC, photo-acoustic flow cytometry, and photo-thermal flow cytometry. [22][23][24][25][26][27][28][29][30] IVFC has been used for the in vivo study of many cell types, including breast cancer, prostate cancer, hepatocellular carcinoma cells, melanoma, multiple myeloma, T-lymphocytes, infections, and sickle cells. 18,21,22,[28][29][30][31][32][33][34][35][36] Despite its great utility in small animal research, IVFC has one significant limitation: the relatively low cell detection sensitivity, which is a consequence of the small blood vessels that are sampled.…”

Section: Introductionmentioning

confidence: 99%

Performance of computer vision in vivo flow cytometry with low fluorescence contrast

Markovic¹,

Liu²,

Niedre³

2015

J. Biomed. Opt.

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Abstract. Detection and enumeration of circulating cells in the bloodstream of small animals are important in many areas of preclinical biomedical research, including cancer metastasis, immunology, and reproductive medicine. Optical in vivo flow cytometry (IVFC) represents a class of technologies that allow noninvasive and continuous enumeration of circulating cells without drawing blood samples. We recently developed a technique termed computer vision in vivo flow cytometry (CV-IVFC) that uses a high-sensitivity fluorescence camera and an automated computer vision algorithm to interrogate relatively large circulating blood volumes in the ear of a mouse. We detected circulating cells at concentrations as low as 20 cells∕mL. In the present work, we characterized the performance of CV-IVFC with low-contrast imaging conditions with (1) weak cell fluorescent labeling using cell-simulating fluorescent microspheres with varying brightness and (2) high background tissue autofluorescence by varying autofluorescence properties of optical phantoms. Our analysis indicates that CV-IVFC can robustly track and enumerate circulating cells with at least 50% sensitivity even in conditions with two orders of magnitude degraded contrast than our previous in vivo work. These results support the significant potential utility of CV-IVFC in a wide range of in vivo biological models.

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“…To monitor CTCs, conventional methods usually isolate and count cells expressing epithelial markers from peripheral blood samples (4)(5)(6)(7)(8)(9)(10). However, these methods are restricted by invasiveness, lower sensitivity caused by small blood sample volumes, and difficulty to record the dynamics of CTCs, which in vivo flow cytometry could overcome (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23). In vivo flow cytometry is optimized to quantify circulating fluorescently labeled cells in live animals, without the need to extract blood samples.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Monitoring of Rare Circulating Hepatocellular Carcinoma Cells in an Orthotopic Model byIn VivoFlow Cytometry Assesses Resection on Metastasis

et al. 2012

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The fate of circulating tumor cells (CTC) is an important determinant of metastasis and recurrence, which leads to most deaths in hepatocellular carcinoma (HCC). Therefore, quantification of CTCs proves to be an emerging tool for diagnosing, stratifying, and monitoring patients with metastatic diseases. In vivo flow cytometry has the capability to monitor the dynamics of fluorescently labeled CTCs continuously and noninvasively. Here, we combine in vivo flow cytometry technique and a GFP-transfected HCC orthotopic metastatic tumor model to monitor CTC dynamics. Our in vivo flow cytometry has approximately 1.8-fold higher sensitivity than whole blood analysis by conventional flow cytometry. We found a significant difference in CTC dynamics between orthotopic and subcutaneous tumor models. We also investigated whether liver resection promotes or restricts hematogenous metastasis in advanced HCC. Our results show that the number of CTCs and early metastases decreases significantly after the resection. The resection prominently restricts hematogenous metastasis and distant metastases. CTC dynamics is correlated with tumor growth in our orthotopic tumor model. The number and size of distant metastases correspond to CTC dynamics. The novel in vivo flow cytometry technique combined with orthotopic tumor models might provide insights to tumor hematogenous metastasis and guidance to cancer therapy. Cancer Res; 72(10); 2683-91. Ó2012 AACR.

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In vivoImage Flow Cytometry

Cited by 14 publications

References 97 publications

Multicolor multiphoton in vivo imaging flow cytometry

Multicolor multiphoton in vivo imaging flow cytometry

Performance of computer vision in vivo flow cytometry with low fluorescence contrast

Real-Time Monitoring of Rare Circulating Hepatocellular Carcinoma Cells in an Orthotopic Model byIn VivoFlow Cytometry Assesses Resection on Metastasis

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