Selected Publication

22.06.2017

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

Mosaic image of a mouse brain slice improved by BaSiC. Source: HMGU

Today, tracking the development of individual cells over time and spotting the associated factors under the microscope is possible. However, impairments like uneven illumination or changes in the background degrade the image quality and complicate the interpretation of data. Now, researchers at the Institute of Computational Biology together with colleagues at Technical University of Munch (TUM), University of California, San Francisco (UCSF) and ETH Zürich have developed a software, BaSiC, to correct background and illumination for both static and time-lapse imaging data. Biologists can use this algorithm to improve stitching and mosaic image quality and, more importantly, to improve intensity quantification, hence making hitherto hidden development steps visible.

For more information see the original publication .

The software is available here.