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

Mamaeva, Anastasiya; Krasnova, Olga; Khvorova, Irina; Kozlov, Konstantin; Gursky, Vitaly; Samsonova, Maria; Tikhonova, Olga; Neganova, Irina

Mamaeva, Anastasiya; Krasnova, Olga; Khvorova, Irina; Kozlov, Konstantin; Gursky, Vitaly; Samsonova, Maria; Tikhonova, Olga; Neganova, Irina.

Afiliação

Mamaeva A; Mathematical Biology and Bioinformatics Lab, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia.
Krasnova O; Institute of Cytology, 194064 Saint Petersburg, Russia.
Khvorova I; Faculty of Biology, Saint-Petersburg State University, 199034 Saint Petersburg, Russia.
Kozlov K; Mathematical Biology and Bioinformatics Lab, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia.
Gursky V; Ioffe Institute, 194021 Saint Petersburg, Russia.
Samsonova M; Mathematical Biology and Bioinformatics Lab, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia.
Tikhonova O; Institute of Biomedical Chemistry, 119121 Moscow, Russia.
Neganova I; Institute of Cytology, 194064 Saint Petersburg, Russia.

Int J Mol Sci ; 24(1)2022 Dec 21.

Article em En | MEDLINE | ID: mdl-36613583

Assuntos

Células-Tronco Pluripotentes; Proteômica; Humanos; Células-Tronco Pluripotentes/metabolismo; Redes Neurais de Computação; Células-Tronco Embrionárias; Controle de Qualidade

Palavras-chave

convolutional neural networks; deep learning; human pluripotent stem cells; image processing; pluripotency

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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