Spectral unmixing for visualization of samples

摘要

Disclosed methods include: acquiring a first sequence of multiple images of a sample, with each image in the first sequence corresponding to a different spectral weighting function; unmixing the first sequence of images into data corresponding to a first set of unmixed images, where each unmixed image in the first set corresponds to a spatial distribution in the sample of a different one of multiple components at a first time; acquiring one or more additional images of the sample and combining the additional images with one or more of the images in the first sequence to form a second sequence of images; unmixing the second sequence of images into data corresponding to a second set of unmixed images; and displaying information about the sample as a function of time based on the data corresponding to the first and second sets of unmixed images.