BigDataProcessor2: A free and open-source Fiji plugin for inspection and processing of TB sized image data

Christian Tischer, Ashis Ravindran, Sabine Reither, Nicolas Chiaruttini, Rainer Pepperkok, Nils Norlin

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

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).

Originalspråkengelska
Sidor (från-till)3079-3081
TidskriftBioinformatics (Oxford, England)
Volym37
Utgåva18
Tidigt onlinedatum2021 feb 17
DOI
StatusPublished - 2021

Ämnesklassifikation (UKÄ)

  • Programvaruteknik
  • Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

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