BioinformaticsbioRxivPreprint
Self-contrastive learning enables interference-resilient and generalizable fluorescence microscopy signal detection without interference modeling
Fengdi Zhang, Ruqi Huang, Meiqian Xin…·Xiangyang Ji
This paper introduces DEPAF, a self-contrastive learning method for fluorescence microscopy signal detection that is interference-resilient and generalizable without requiring interference modeling.
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