High-performance systems for in silico microscopy imaging studies

Authors:
Fusheng Wang;Tahsin Kurc;Patrick Widener;Tony Pan;Jun Kong;Lee Cooper;David Gutman;Ashish Sharma;Sharath Cholleti;Vijay Kumar;Joel Saltz
Affiliations:
Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia;Dept. of Computer Science and Engineering, Ohio State University, Columbus, Ohio;Center for Comprehensive Informatics and Department of Biomedical Engineering, Emory University, Atlanta, Georgia
Venue:
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Year:
2010

Citing 12
Cited 1

Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema

ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Jess in Action: Java Rule-Based Systems

Jess in Action: Java Rule-Based Systems
Analysis and Semantic Querying in Large Biomedical Image Datasets

Computer
Efficient virtualization of scientific data

Efficient virtualization of scientific data
HPC and Grid Computing for Integrative Biomedical Research

International Journal of High Performance Computing Applications
Wings for Pegasus: creating large-scale scientific applications using semantic representations of computational workflows

IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
Bisque

Bioinformatics
Parameterized specification, configuration and execution of data-intensive scientific workflows

Cluster Computing
OWLIM – a pragmatic semantic repository for OWL

WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
Minerva: a scalable OWL ontology storage and inference system

ASWC'06 Proceedings of the First Asian conference on The Semantic Web
The virtual microscope

IEEE Transactions on Information Technology in Biomedicine
Large-Scale Biomedical Image Analysis in Grid Environments

IEEE Transactions on Information Technology in Biomedicine

A parallel solution for high resolution histological image analysis

Computer Methods and Programs in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

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.