Yunlong Feng

This paper introduces BEEP learning, a machine learning framework for multi-view fluorescence unmixing that improves discrimination of fluorophores in multiplexed imaging.

This paper introduces a multi-view machine learning framework to improve spectral unmixing of overlapping fluorophores in fluorescence microscopy images.

This paper introduces a sparse and low-rank Poisson unmixing method to improve fluorescence image unmixing accuracy in low signal-to-noise regimes with overlapping fluorophores.