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Updated: Jul 19, 2025

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通过深度学习,在全血中检测罕见的循环瘤细胞集群,使用无标签的流细胞计

Nilay Vora¹, Prashant Shekar², Michael Esmail^3,4

¹Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.

bioRxiv : the preprint server for biology

|August 14, 2023

概括

深度学习增强了血液中的循环瘤细胞集群 (CTCC) 检测,使用共聚焦反射和光流细胞计 (BSFC). 这种先进的方法为识别这些转移生物标志物提供了更高的准确性,为体内监测铺平了道路.

科学领域:

生物医学工程生物医学工程
癌症研究癌症研究
医学诊断医学诊断医学诊断

背景情况:

转移性瘤显著恶化患者的预后,循环瘤细胞群 (CTCC) 是转移性进展和风险增加的关键指标.
目前用于检测循环瘤细胞 (CTCs) 和CTCCs的现有方法主要是ex vivo,缺乏体内实用性和实时监测能力.

结论:

基于深度学习的BSFC展示了在全血中检测CTCC的强大性能,显示出对体内应用的希望.
在无标签的BSFC中取得的进一步进展可能使CTCC的临床检测和ex vivo隔离在最小的处理过程中成为可能.

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Flow Cytometry

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In...