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BigDataProcessor2: a free and open-source Fiji plugin for inspection and processing of TB sized image data.
Tischer, Christian; Ravindran, Ashis; Reither, Sabine; Chiaruttini, Nicolas; Pepperkok, Rainer; Norlin, Nils.
Affiliation
  • Tischer C; Centre for Bioimage Analysis, European Molecular Biology Laboratory (EMBL), 69117, Heidelberg, Germany.
  • Ravindran A; Advanced Light Microscopy Facility, EMBL, 69117, Heidelberg, Germany.
  • Reither S; Cell Biology and Biophysics Unit, EMBL, 69117, Heidelberg, Germany.
  • Chiaruttini N; University of Heidelberg, Department of Scientific Computing, 69120, Heidelberg, Germany.
  • Pepperkok R; Advanced Light Microscopy Facility, EMBL, 69117, Heidelberg, Germany.
  • Norlin N; Cell Biology and Biophysics Unit, EMBL, 69117, Heidelberg, Germany.
Bioinformatics ; 37(18): 3079-3081, 2021 09 29.
Article in En | MEDLINE | ID: mdl-33594413
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. AVAILABILITY AND IMPLEMENTATION: 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). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Microscopy Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Microscopy Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Germany