Jessica Morales-Chicas, Sandra Graham
Latinos' Changing Ethnic Group Representation From Elementary to Middle School: Perceived Belonging and Academic Achievement
Journal of research on adolescence : the official journal of the Society for Research on Adolescence
selecting isolating various cell types critical procedure many applications including immune therapy regenerative medicine cancer research usually selection processes involve labeling another invasive step potentially affecting cellular functionality damaging cell current proof principle study first introduce optical biosensorbased method capable classification healthy numerous cancerous cell types labelfree setup present high classification accuracy based monitored singlecell adhesion kinetic signals developed highthroughput data processing pipeline build benchmark database 4500 singlecell adhesion measurements normal preosteoblast mc3t3e1 various cancer hela lclc103h mdamb231 mcf7 cell types several datasets used different celltype selections test performance deep learningbased classification models reaching 7080 depending classification task beyond testing models aimed draw interpretable biological insights results thus applied deep neural network visualization method gradcam reveal basis complex models made decisions proofofconcept work demonstrated success deep neural network using merely labelfree adhesion kinetic data classify single mammalian cells different cell types propose method labelfree singlecell profiling vitro cancer research involving adhesion employed labelfree measurement noninvasive affect cellular functionality therefore could also adapted applications selected cells need processing immune therapy regenerative medicine