{\lambda}Split: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy 事件

{\lambda}Split: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy arXiv:2603.23647v2 Announce Type: replace Abstract: In fluorescence microscopy, spectral unmixing aims to recover individual fluorophore concentrations from spectral images that capture mixed fluorophore emissions. Since classical methods operate pixel-wise and rely on least-squares fitting, their performance degrades with increasingly overlapping emission spectra and higher levels of noise, suggesting t