Difference between revisions of "LUMoS Spectral Unmixing"

(Adding wiki page about LUMoS plugin.)
 
(Adding citation to our paper about this which recently went up on biorxiv)
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Additional information including a user guide and be found [https://www.urmc.rochester.edu/research/multiphoton/image-analysis/spectral-unmixing.aspx here].
 
Additional information including a user guide and be found [https://www.urmc.rochester.edu/research/multiphoton/image-analysis/spectral-unmixing.aspx here].
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If you use this program in your work, please cite the pertinent [https://doi.org/10.1101/797993 paper]:
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McRae TD, Oleksyn D, Miller J, Gao Y-R. Robust blind spectral unmixing for fluorescence microscopy using unsupervised learning. bioRxiv. 2019; 797993. doi:10.1101/797993

Revision as of 12:30, 10 October 2019

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.


If you use this program in your work, please cite the pertinent paper:

McRae TD, Oleksyn D, Miller J, Gao Y-R. Robust blind spectral unmixing for fluorescence microscopy using unsupervised learning. bioRxiv. 2019; 797993. doi:10.1101/797993