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celldeath: A tool for detection of cell death in transmitted light microscopy images by deep learning-based visual recognition
- 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.
- Subjects :
- Computer science
Cell Lines
Transmitted light
Cancer Treatment
Apoptosis
Biochemistry
Machine Learning
Animal Cells
Medicine and Health Sciences
Microscopy
Multidisciplinary
Artificial neural network
Cell Death
Stem Cells
Nucleic acids
Oncology
Cell Processes
MCF-7 Cells
Medicine
Biological Cultures
Cellular Types
medicine.drug
Research Article
Pluripotency
Programmed cell death
Computer and Information Sciences
Cell Potency
Science
Research and Analysis Methods
Deep Learning
Artificial Intelligence
Image Interpretation, Computer-Assisted
medicine
Genetics
Humans
business.industry
Deep learning
Biology and Life Sciences
Cancers and Neoplasms
Pattern recognition
Cell Biology
DNA
Visual recognition
DNA damage
Stem cell line
Programming Languages
Artificial intelligence
business
Stem Cell Lines
Camptothecin
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....f25467d6dd556f4a6d329ea1db310861