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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: La Greca, Alejandro Damián, Pérez, Nelba, Castañeda, Sheila, Milone, Paula Melania, Scarafía, María Agustina, Möbbs, Alan Miqueas, Waisman, Ariel, Moro, Lucía Natalia, Sevlever, Gustavo Emilio, Luzzani, Carlos Daniel, Miriuka, Santiago Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224851/
https://www.ncbi.nlm.nih.gov/pubmed/34166446
http://dx.doi.org/10.1371/journal.pone.0253666
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author La Greca, Alejandro Damián
Pérez, Nelba
Castañeda, Sheila
Milone, Paula Melania
Scarafía, María Agustina
Möbbs, Alan Miqueas
Waisman, Ariel
Moro, Lucía Natalia
Sevlever, Gustavo Emilio
Luzzani, Carlos Daniel
Miriuka, Santiago Gabriel
author_facet La Greca, Alejandro Damián
Pérez, Nelba
Castañeda, Sheila
Milone, Paula Melania
Scarafía, María Agustina
Möbbs, Alan Miqueas
Waisman, Ariel
Moro, Lucía Natalia
Sevlever, Gustavo Emilio
Luzzani, Carlos Daniel
Miriuka, Santiago Gabriel
author_sort La Greca, Alejandro Damián
collection PubMed
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.
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spelling pubmed-82248512021-07-19 celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition La Greca, Alejandro Damián Pérez, Nelba Castañeda, Sheila Milone, Paula Melania Scarafía, María Agustina Möbbs, Alan Miqueas Waisman, Ariel Moro, Lucía Natalia Sevlever, Gustavo Emilio Luzzani, Carlos Daniel Miriuka, Santiago Gabriel PLoS One Research Article 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. Public Library of Science 2021-06-24 /pmc/articles/PMC8224851/ /pubmed/34166446 http://dx.doi.org/10.1371/journal.pone.0253666 Text en © 2021 La Greca et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
La Greca, Alejandro Damián
Pérez, Nelba
Castañeda, Sheila
Milone, Paula Melania
Scarafía, María Agustina
Möbbs, Alan Miqueas
Waisman, Ariel
Moro, Lucía Natalia
Sevlever, Gustavo Emilio
Luzzani, Carlos Daniel
Miriuka, Santiago Gabriel
celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224851/
https://www.ncbi.nlm.nih.gov/pubmed/34166446
http://dx.doi.org/10.1371/journal.pone.0253666
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