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An automated workflow for parallel processing of large multiview SPIM recordings

Item Type:Preprint
Title:An automated workflow for parallel processing of large multiview SPIM recordings
Creators Name:Schmied, C. and Steinbach, P. and Pietzsch, T. and Preibisch, S. and Tomancak, P.
Abstract:Multiview light sheet fluorescence microscopy (LSFM) allows to image developing organisms in 3D at unprecedented temporal resolution over long periods of time. The resulting massive amounts of raw image data requires extensive processing interactively via dedicated graphical user interface (GUI) applications. The consecutive processing steps can be easily automated and the individual time points can be processed independently, which lends itself to trivial parallelization on a high performance cluster (HPC). Here we introduce an automated workflow for processing large multiview, multi-channel, multi-illumination time-lapse LSFM data on a single workstation or in parallel on a HPC. The pipeline relies on snakemake to resolve dependencies among consecutive processing steps and can be easily adapted to any cluster environment for processing LSFM data in a fraction of the time required to collect it.
Source:arXiv
Publisher:Cornell University
Article Number:1507.08575v3
Date:11 August 2015
Official Publication:https://doi.org/10.48550/arXiv.1507.08575
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https://edoc.mdc-berlin.de/15227/Final version

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