A BaSiC tool for background and shading correction of optical microscopy images

作者：Peng Tingying; Thorn Kurt; Schroeder Timm; Wang Lichao; Theis Fabian J; Marr Carsten^*; Navab Nassir^*

来源：Nature Communications, 2017, 8(1): 14836.

DOI：10.1038/ncomms14836

Quantitative analysis of bioimaging data is often skewed by both shading in space and background variation in time. We introduce BaSiC, an image correction method based on low-rank and sparse decomposition which solves both issues. In comparison to existing shading correction tools, BaSiC achieves high-accuracy with significantly fewer input images, works for diverse imaging conditions and is robust against artefacts. Moreover, it can correct temporal drift in time-lapse microscopy data and thus improve continuous single-cell quantification. BaSiC requires no manual parameter setting and is available as a Fiji/ImageJ plugin.

• 出版日期2017-6-8