Summary: Modern bioimaging and related areas such as sensor technology have undergone tremendous development over the last few years. As a result, contemporary imaging techniques, particularly electron microscopy (EM) and light sheet microscopy, can frequently generate datasets attaining sizes 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.
CITATION STYLE
Tischer, C., Ravindran, A., Reither, S., Chiaruttini, N., Pepperkok, R., & Norlin, N. (2021). BigDataProcessor2: a free and open-source Fiji plugin for inspection and processing of TB sized image data. Bioinformatics, 37(18), 3079–3081. https://doi.org/10.1093/bioinformatics/btab106
Mendeley helps you to discover research relevant for your work.