Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.23.244095v1?rss=1 Authors: Tischer, C., Ravindran, A., Reither, S., Pepperkok, R., Norlin, N. Abstract: Modern bioimaging and related areas such as sensor technology has seen tremendous development the last years allowing several contemporary imaging techniques, electron microscopy (EM) and light sheet microscopy in particular, to generate datasets frequently reaching the size of several terabytes (TB). As a consequence, even seemingly simple data operations such as cropping, chromatic- and drift-corrections and even visualisation, poses challenges when applied to thousands of time points or tiles. To address this we developed BigDataProcessor2 - a Fiji plugin facilitating processing workflows for TB sized image datasets. BigDataProcessor2 is available as a Fiji plugin via the BigDataProcessor update site. The application is implemented in Java and the code is publicly available on GitHub (https://github.com/bigdataprocessor/bigdataprocessor2). Copy rights belong to original authors. Visit the link for more info