Tischer, ChristianRavindran, AshisReither, SabineChiaruttini, NicolasPepperkok, RainerNorlin, Nils2022-01-012022-01-012022-01-012021-09-1510.1093/bioinformatics/btab106https://infoscience.epfl.ch/handle/20.500.14299/184217WOS:000732709000055Modern 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.Biochemical Research MethodsBiotechnology & Applied MicrobiologyComputer Science, Interdisciplinary ApplicationsMathematical & Computational BiologyStatistics & ProbabilityBiochemistry & Molecular BiologyComputer ScienceMathematicsvisualizationtext::journal::journal article::research article