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SPIM Workflow Manager For HPC

47 bytes added, 03:45, 28 August 2018
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In order to maximize information gain, achieving as high spatial and temporal resolution as practically possible is desired.
However, long-term time-lapse recordings at the single-cell level produce vast amounts of multidimensional image data, which cannot be processed on a personal computer in a timely manner, therefore requiring utilization of high-performance computing (HPC) clusters.
For example, processing a 2.2 TB dataset of drosophila embryonic development, taking a week on a single computer, was brought down to 13 hours by employing an HPC cluster supporting parallel execution of individual tasks \cite{Schmied2014,Schmied2016}[].
Unfortunately, life scientists often lack access to such infrastructure.