Morphological Signal Processing for Phenotype Recognition of Human Pluripotent Stem Cells Using Machine Learning Methods

Morphological Signal Processing for Phenotype Recognition of Human Pluripotent Stem Cells Using Machine Learning Methods

Human pluripotent stem cells have the potential for unlimited proliferation and controlled differentiation into various somatic cells, making them a unique tool for regenerative and personalized medicine. Determining the best clone selection is a challenging problem in this field and requires new se...

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Bibliographic Details
Main Authors: Ekaterina Vedeneeva, Vitaly Gursky, Maria Samsonova, Irina Neganova
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Biomedicines
Subjects:
human pluripotent stem cells
human embryonic stem cells
machine learning
best clone
morphological phenotype
Online Access:https://www.mdpi.com/2227-9059/11/11/3005

Internet

https://www.mdpi.com/2227-9059/11/11/3005

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