Quality control of human pluripotent stem cell colonies by computational image analysis using convolutional neural networks

HIGHLIGHTS

• who: Anastasiya Mamaeva et al. from the Mathematical Biology and Bioinformatics Lab, Peter the Great StPetersburg Polytechnic University, Saint Petersburg, Russia have published the research work: Quality Control of Human Pluripotent Stem Cell Colonies by Computational Image Analysis Using Convolutional Neural Networks, in the Journal: (JOURNAL) of 15/Nov/2022
• what: As the authors constructed an automated classifier that could recognize the phenotype with good accuracy, the authors aimed to find a spatial scale that was the most informative in the learning process. The authors demonstrated the viability and practical usefulness of a straightforward approach . . .
  

   

  

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