bioRxiv · 10.64898/2025.12.27.693999
Automated Image-Based Cell Sorting by Targeted Photopolymerization
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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Maurer, S. J., Abele, T., Stange, S. R., Hoffmann, K. H., Poschke, I., Platten, M., Göpfrich, K.. 2025-12-27. Automated Image-Based Cell Sorting by Targeted Photopolymerization. https://doi.org/10.64898/2025.12.27.693999
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