Performance of computer vision in vivo flow cytometry with low fluorescence contrast.
Performance of computer vision in vivo flow cytometry with low fluorescence contrast.
复制标题
低荧光对比度体内计算机视觉流式细胞术的性能。
DOI:
10.1117/1.jbo.20.3.035005
复制
发表时间:
2015
影响因子:
3.5
通讯作者:
Niedre,Mark
中科院分区:
文献类型:
--
作者:
Markovic,Stacey;Li,Siyuan;Niedre,Mark
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. Opticalin vivoflow 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 visionin vivoflow 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. 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 previousin vivowork. These results support the significant potential utility of CV-IVFC in a wide range ofin vivobiological models.