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Journal Article

An automated workflow for parallel processing of large multiview SPIM recordings.

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Steinbach,  Peter
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Pietzsch,  Tobias
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Tomancak,  Pavel
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Citation

Schmied, C., Steinbach, P., Pietzsch, T., Preibisch, S., & Tomancak, P. (2016). An automated workflow for parallel processing of large multiview SPIM recordings. Bioinformatics (Oxford, England), 32(7), 1112-1114.


Cite as: https://hdl.handle.net/21.11116/0000-0001-0273-B
Abstract
Selective Plane Illumination Microscopy (SPIM) 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 computing (HPC) cluster. Here we introduce an automated workflow for processing large multiview, multi-channel, multi-illumination time-lapse SPIM data on a single workstation or in parallel on a HPC cluster. The pipeline relies on snakemake to resolve dependencies among consecutive processing steps and can be easily adapted to any cluster environment for processing SPIM data in a fraction of the time required to collect it.