High-Performance Systems for in Silico Microscopy Imaging Studies

Autor:	Vijay S. Kumar, Ashish Sharma, Fusheng Wang, Tahsin Kurc, David A. Gutman, Patrick Widener, Sharath R. Cholleti, Joel H. Saltz, Tony Pan, Lee Cooper, Jun Kong
Rok vydání:	2010
Předmět:	Metadata Spatial query Data access Computer science In silico Rule engine Scale (chemistry) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Metadata modeling Data science
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642151194 DILS
DOI:	10.1007/978-3-642-15120-0_2
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::067f49d18774e1c4c0d2e13f4ea658fc https://doi.org/10.1007/978-3-642-15120-0_2 Zobrazit plný text záznamu