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Project

Plugin for Fluorescence Unmixing


Award napari Plugin Accelerator

Project Summary

This project seeks to develop a napari plugin for selection and blind unmixing of overlapping spectral channels by translating PICASSO, an algorithm that minimizes the mutual information between images to subtract spillover from overlapping emission spectra. Currently, there are no napari hub plugins for unmixing images with crosstalk from overlapping emission spectra, background fluorescence, or autofluorescence. By packaging this approach into a napari plugin, this project will enable non-specialists to unmix large image datasets on a single workstation with sufficient memory and a graphics processing unit (GPU).

Investigators

Principal Investigator
Silas Maniatis, MA, PhD
Silas Maniatis, MA, PhD
Co-Principal Investigators
Kunal Pandit, MS, PhD
Kunal Pandit, MS, PhD