Quality Control of Human Pluripotent Stem Cell Colonies by Computational Image Analysis Using Convolutional Neural Networks

Quality Control of Human Pluripotent Stem Cell Colonies by Computational Image Analysis Using Convolutional Neural Networks

Human pluripotent stem cells are promising for a wide range of research and therapeutic purposes. Their maintenance in culture requires the deep control of their pluripotent and clonal status. A non-invasive method for such control involves day-to-day observation of the morphological changes, along...

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Bibliographic Details
Main Authors: Anastasiya Mamaeva, Olga Krasnova, Irina Khvorova, Konstantin Kozlov, Vitaly Gursky, Maria Samsonova, Olga Tikhonova, Irina Neganova
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:International Journal of Molecular Sciences
Subjects:
human pluripotent stem cells
pluripotency
deep learning
convolutional neural networks
image processing
Online Access:https://www.mdpi.com/1422-0067/24/1/140

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