High-performance systems for in silico microscopy imaging studies

Fusheng Wang*, Tahsin Kurc, Patrick Widener, Tony Pan, Jun Kong, Lee Alex Donald Cooper, David Gutman, Ashish Sharma, Sharath Cholleti, Vijay Kumar, Joel Saltz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

High-resolution medical images from advanced instruments provide rich information about morphological and functional characteristics of biological systems. However, most of the information available in biomedical images remains underutilized in research projects. In this paper, we discuss the requirements and design of system support for composing, executing, and exploring in silico experiments involving microscopy images. This framework aims to provide building blocks for large scale, high-performance analytical image exploration systems, through rich metadata models, comprehensive query and data access capabilities, and efficient database and HPC support.

Original languageEnglish (US)
Title of host publicationData Integration in the Life Sciences - 7th International Conference, DILS 2010, Proceedings
Pages3-18
Number of pages16
DOIs
StatePublished - 2010
Event7th International Conference on Data Integration in the Life Sciences, DILS 2010 - Gothenburg, Sweden
Duration: Aug 25 2010Aug 27 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6254 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Data Integration in the Life Sciences, DILS 2010
CountrySweden
CityGothenburg
Period8/25/108/27/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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