LUMoS Spectral Unmixing

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Learning Unsupervised Means of Spectra (LUMoS) is a blind spectral unmixing method that uses k-means clustering to separate different features of a fluorescence microscopy image into a multi-channel image in which each output channel corresponds to a single fluorophpore.

Additional information including a user guide and be found here.