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Title: Moving image analysis to the cloud: A case study with a genome-scale tomographic study

Over the last decade, the time required to measure a terabyte of microscopic imaging data has gone from years to minutes. This shift has moved many of the challenges away from experimental design and measurement to scalable storage, organization, and analysis. As many scientists and scientific institutions lack training and competencies in these areas, major bottlenecks have arisen and led to substantial delays and gaps between measurement, understanding, and dissemination. We present in this paper a framework for analyzing large 3D datasets using cloud-based computational and storage resources. We demonstrate its applicability by showing the setup and costs associated with the analysis of a genome-scale study of bone microstructure. We then evaluate the relative advantages and disadvantages associated with local versus cloud infrastructures.
Authors:
 [1] ;  [2]
  1. 4Quant Ltd., Switzerland & Institute for Biomedical Engineering at University and ETH Zurich (Switzerland)
  2. Institute for Biomedical Engineering at University and ETH Zurich, Switzerland & Swiss Light Source at Paul Scherrer Institut, Villigen (Switzerland)
Publication Date:
OSTI Identifier:
22494405
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1696; Journal Issue: 1; Conference: XRM 2014: 12. international conference on X-ray microscopy, Melbourne (Australia), 26-31 Oct 2014; Other Information: (c) 2016 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; DATASETS; IMAGE PROCESSING; MICROSCOPY; MICROSTRUCTURE; SKELETON; THREE-DIMENSIONAL CALCULATIONS; TOMOGRAPHY