Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status - Piotrowski, Tobias; Rippel, Oliver; Elanzew, Andreas; Nießing, Bastian; Stucken, Sebastian; Jung, Sven; König, Niels; Haupt, Simone; Stappert, Laura; Brüstle, Oliver; Schmitt, Robert; Jonas, Stephan (Computers in biology and medicine, 2021)
Keywords: Algorithms; Automated cell culture; Automatic control; Automation; Cell analysis; Cell culture; Cell differentiation; Center of gravity; Clinical decision making; Colonies; Cultivation; Decision making; Deep learning; Drug screening; Human induced pluripotent stemcells(hiPSC); Human tissues; Image analysis; Image processing; Image segmentation; Inclusions; Internal Medicine; Mathematical models; Microscopy; Morphology; Multi class segmentation; Other; Parameters; Phase contrast; Pluripotency; Precision medicine; Roundness; Routine parameter calculation; Stem cells; Multi class segmentation; Deep-learning; Microscopy; Human induced pluripotent stemcells(hiPSC); Cell analysis; Routine parameter calculation; Automated cell culture