Identifying specific cell classes without labelling is challenging. We show a deep learning method using single-cell microfluidic data, offering fast, operator-free identification of rare cells like tumour cells, even without training data for the target class.
Self- supervised scattering pattern classification of peripheral blood stream cells / Dannhauser, David; Netti, Paolo A.; Causa, Filippo. - (2025). ( SPIE Optical Metrology) [10.1364/ecbo.2025.s4c.5].
Self- supervised scattering pattern classification of peripheral blood stream cells
Dannhauser, David
;Netti, Paolo A.;Causa, Filippo
2025
Abstract
Identifying specific cell classes without labelling is challenging. We show a deep learning method using single-cell microfluidic data, offering fast, operator-free identification of rare cells like tumour cells, even without training data for the target class.File in questo prodotto:
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