Technologies capable of cell separation based on cell images provide powerful tools enabling cell selection criteria that rely on spatially or temporally varying properties. Image-based cell sorting (IBCS) systems utilize microfluidic or microarray platforms, each having unique characteristics and applications. The advent of IBCS marks a new paradigm in which cell phenotype and behavior can be explored with high resolution and tied to cellular physiological and omics data, providing a deeper understanding of single-cell physiology and the creation of cell lines with unique properties. Cell sorting guided by high-content image information has far-reaching implications in biomedical research, clinical medicine, and pharmaceutical development.

能够基于细胞图像进行细胞分离的技术提供了强大的工具，支持依赖于空间或时间变化特性的细胞选择标准。基于图像的细胞分选 (IBCS) 系统利用微流体或微阵列平台，每个平台都具有独特的特性和应用。IBCS 的出现标志着一种新的范式，其中可以高分辨率探索细胞表型和行为，并与细胞生理学和组学数据相关联，从而更深入地了解单细胞生理学和创建具有独特特性的细胞系。高内涵图像信息引导的细胞分选在生物医学研究、临床医学和药物开发中具有深远的意义。