Deep learning-based in silico labeling for analyzing morphological features of MSCs to predict immunomodulatory capacity

Abstract Cellular morphology, a critical manifestation of biological characteristics, is linked to functions. In traditional cell detection, invasive labeling and detection methods not only compromise cellular viability but also entail labor-intensive workflows. Here we presented a non-invasive arti...

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Bibliografski detalji

Glavni autori:	Zhiyu Liu, Gang An, Xiao Liang, Xumin Wu, Junyuan Hu, Haijun Wang, Jingfeng Ou, Xiuping Zeng, Zhiliang Xia, Kaixiang Hou, Wanglong Chu, Jianbin Ye, Cui Liao, Zhengmian Zhang, Muyun Liu
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2026-03-01
Serija:	Communications Biology
Online pristup:	https://doi.org/10.1038/s42003-026-09833-2
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