λSplit: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy
λSplit: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy explores A physics-informed deep generative model for self-supervised spectral unmixing in fluorescence microscopy, enabling immediate adoption with standard hardware.. Commercial viability score: 7/10 in Medical AI.
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