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celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition

Authors :
Gustavo Sevlever
María Agustina Scarafía
Alan Miqueas Möbbs
Ariel Waisman
Santiago Gabriel Miriuka
Carlos Luzzani
Nelba Pérez
Sheila Castañeda
Alejandro La Greca
Lucía Natalia Moro
Paula Melania Milone
Source :
PLoS ONE, Vol 16, Iss 6, p e0253666 (2021), PLoS ONE
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

Cell death experiments are routinely done in many labs around the world, these experiments are the backbone of many assays for drug development. Cell death detection is usually performed in many ways, and requires time and reagents. However, cell death is preceded by slight morphological changes in cell shape and texture. In this paper, we trained a neural network to classify cells undergoing cell death. We found that the network was able to highly predict cell death after one hour of exposure to camptothecin. Moreover, this prediction largely outperforms human ability. Finally, we provide a simple python tool that can broadly be used to detect cell death.

Details

Language :
English
ISSN :
19326203
Volume :
16
Issue :
6
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....f25467d6dd556f4a6d329ea1db310861