Machine-learning-aided quantification of area coverage of adherent cells from phase-contrast images

HIGHLIGHTS

• who: (Received and collaborators from the Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel have published the research: Machine-Learning-Aided Quantification of Area Coverage of Adherent Cells from Phase-Contrast Images, in the Journal: (JOURNAL)
• what: The authors demonstrate two cases in one the authors monitor the shrinking of cells in response to a toxicant and in the second the authors measure the proliferation curve of mesenchymal stem cells (MSCs). As the authors show in the following, the problem is significantly simpler than full segmentation of cells, where precise . . .
  

   

  

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