Researchers at the Technical University of Munich (TUM) and the Helmholtz Zentrum München in Germany have developed software designed to correct artifacts such as shadows or changes in the background when viewing stem cells.
The software is called BaSiC and uses time-lapse microscopy to observe individual cells at very high time resolutions, and fluorescent labeling to recognize which proteins appear when in the cell, according to a study published online on 8 June in Nature.
The challenge is that imaging data is often marred by irregular brightness and faded backgrounds in the time-lapse, according to study co-author Dr. Carsten Marr. Thus the researchers have created algorithms to filter out these artifacts using only a few images per dataset.
BaSiC is compatible with many image formats commonly used in bioimaging, according to the researchers, and can correct changes in the background of time-lapse videos.
