Abstract

We present a cost-effective and high-throughput computational cytometer using a magnetically-modulated lensless imaging technique and deep learning-based classification, to rapidly detect rare cells in whole blood, achieving a detection limit of 10 cells/mL.

© 2020 The Author(s)

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