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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8224851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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