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Journal of Biomedical Optics

Performance of computer vision <italic<in vivo</italic< flow cytometry with low fluorescence contrast
Author(s): Stacey Markovic; Siyuan Li; Mark J. Niedre
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Paper 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.

Paper Details

Date Published: 30 March 2015
PDF: 9 pages
J. Biomed. Opt. 20(3) 035005 doi: 10.1117/1.JBO.20.3.035005
Published in: Journal of Biomedical Optics Volume 20, Issue 3
Show Author Affiliations
Stacey Markovic, Northeastern Univ. (United States)
Siyuan Li, Northeastern Univ. (United States)
Mark J. Niedre, Northeastern Univ. (United States)

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