期刊
JOURNAL OF BIOPHOTONICS
卷 15, 期 4, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.202100310
关键词
anticancer drug development; cell death; drug resistance; holographic microscopy; lensless microscopy; widefield microscopy
资金
- Susan G. Komen [CCR18548498]
- U.S. Department of Defense [W81XWH210053]
- University of Toledo
The study introduces a high-throughput method based on digital holography for automatic identification of cell death mechanisms with high accuracy, providing a low-cost alternative for cell biology research.
Identification of cell death mechanisms, particularly distinguishing between apoptotic versus nonapoptotic pathways, is of paramount importance for a wide range of applications related to cell signaling, interaction with pathogens, therapeutic processes, drug discovery, drug resistance, and even pathogenesis of diseases like cancers and neurogenerative disease among others. Here, we present a novel high-throughput method of identifying apoptotic versus necrotic versus other nonapoptotic cell death processes, based on lensless digital holography. This method relies on identification of the temporal changes in the morphological features of mammalian cells, which are unique to each cell death processes. Different cell death processes were induced by known cytotoxic agents. A deep learning-based approach was used to automatically classify the cell death mechanism (apoptotic vs necrotic vs nonapoptotic) with more than 93% accuracy. This label free approach can provide a low cost (<$250) alternative to some of the currently available high content imaging-based screening tools.
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