Automated Image-Based Cell Sorting by Targeted Photopolymerization
Maurer, S. J.; Abele, T.; Stange, S. R.; Hoffmann, K. H.; Poschke, I.; Platten, M.; Göpfrich, K.
Show abstract
We present an automated image-based cell sorting method capable of a through-put of hundreds of cells per second. Our microscopy platform integrates automated image acquisition, machine-learning based classification and sub-sequent depletion of up to 99.98 % of negative cells by spatially controlled photo-encapsulation, preserving target cells for collection. Applied to peripheral blood mononuclear cells, the method achieves the label-free, morphology-based enrichment of activated T cells for downstream applications in biomedicine.
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