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

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...

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Autores principales:	Alejandro Damián La Greca, Nelba Pérez, Sheila Castañeda, Paula Melania Milone, María Agustina Scarafía, Alan Miqueas Möbbs, Ariel Waisman, Lucía Natalia Moro, Gustavo Emilio Sevlever, Carlos Daniel Luzzani, Santiago Gabriel Miriuka
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/db35de74d32244a8aaf1ebbb096914e2
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id	oai:doaj.org-article:db35de74d32244a8aaf1ebbb096914e2
record_format	dspace
spelling	oai:doaj.org-article:db35de74d32244a8aaf1ebbb096914e22021-12-02T20:10:06Zcelldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.1932-620310.1371/journal.pone.0253666https://doaj.org/article/db35de74d32244a8aaf1ebbb096914e22021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253666https://doaj.org/toc/1932-6203Cell 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.Alejandro Damián La GrecaNelba PérezSheila CastañedaPaula Melania MiloneMaría Agustina ScarafíaAlan Miqueas MöbbsAriel WaismanLucía Natalia MoroGustavo Emilio SevleverCarlos Daniel LuzzaniSantiago Gabriel MiriukaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253666 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alejandro Damián La Greca Nelba Pérez Sheila Castañeda Paula Melania Milone María Agustina Scarafía Alan Miqueas Möbbs Ariel Waisman Lucía Natalia Moro Gustavo Emilio Sevlever Carlos Daniel Luzzani Santiago Gabriel Miriuka celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.
description	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.
format	article
author	Alejandro Damián La Greca Nelba Pérez Sheila Castañeda Paula Melania Milone María Agustina Scarafía Alan Miqueas Möbbs Ariel Waisman Lucía Natalia Moro Gustavo Emilio Sevlever Carlos Daniel Luzzani Santiago Gabriel Miriuka
author_facet	Alejandro Damián La Greca Nelba Pérez Sheila Castañeda Paula Melania Milone María Agustina Scarafía Alan Miqueas Möbbs Ariel Waisman Lucía Natalia Moro Gustavo Emilio Sevlever Carlos Daniel Luzzani Santiago Gabriel Miriuka
author_sort	Alejandro Damián La Greca
title	celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.
title_short	celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.
title_full	celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.
title_fullStr	celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.
title_full_unstemmed	celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.
title_sort	celldeath: a tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/db35de74d32244a8aaf1ebbb096914e2
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celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition.

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