Label-free live cell recognition and tracking for biological discoveries and translational applications

Biqi Chen, Zi Yin, Billy Wai-Lung Ng, Dan Michelle Wang, Rocky S. Tuan, Ryoma Bise, Dai Fei Elmer Ker
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Abstract

Label-free, live cell recognition (i.e. instance segmentation) and tracking using computer vision-aided recognition can be a powerful tool that rapidly generates multi-modal readouts of cell populations at single cell resolution. However, this technology remains hindered by the lack of accurate, universal algorithms. This review presents related biological and computer vision concepts to bridge these disciplines, paving the way for broad applications in cell-based diagnostics, drug discovery, and biomanufacturing.

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用于生物发现和转化应用的无标签活细胞识别与追踪技术
利用计算机视觉辅助识别技术进行无标签活细胞识别(即实例分割)和跟踪是一种强大的工具,可快速生成单细胞分辨率的细胞群多模式读数。然而,由于缺乏准确、通用的算法,这项技术仍然受到阻碍。本综述介绍了相关的生物学和计算机视觉概念,为这些学科架起了桥梁,为细胞诊断、药物发现和生物制造领域的广泛应用铺平了道路。
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