METROID: an automated method for robust quantification of subcellular fluorescence events at low SNR

摘要

Schematic of the proposed method used by METROID to remove noise from cell fluorescence image. After recording images and creating a cell mask, regions of interest (ROIs) are automatically generated respecting cell shape. Then photobleaching is removed by non-linear curve fit. Finally, one of four blind source separation methods (PCA, ICA, wPCA or wICA) is used to separate signal and noise into different channels. Noise channels are discarded and signal is rebuilt with the remaining source for subsequent data calibration