Scalable Adaptive Graphics Environment: A Novel Way to View and Manipulate Whole-Slide Images

Joint Authors

Mateevitsi, Victor
Levy, Bruce

Source

Analytical Cellular Pathology

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-1, 1 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-12-29

Country of Publication

Egypt

No. of Pages

1

Main Subjects

Diseases
Medicine

Abstract EN

The Scalable Adaptive Graphics Environment (SAGE) was developed at the University of Illinois at Chicago’s (UIC) Electronic Visualization Laboratory (EVL) to facilitate collaborative efforts that require the sharing of data-intensive information for analysis.

SAGE is a cross-platform, community-driven, open-source visualization and collaboration tool that enables users to access, display, and share a variety of data-intensive information, in a variety of resolutions and format, from multiple sources, on tiled display walls of arbitrary size.

SAGE walls have had the ability to display digital-cinema animations, high resolution images, high-definition video-conferences, presentation slides, documents, spreadsheets, and computer screens; however, there was no way to display and manipulate histologic whole-slide images (WSIs).

Our desire was to create a tool to permit the importation, display, and manipulation of WSI in the SAGE environment.

American Psychological Association (APA)

Mateevitsi, Victor& Levy, Bruce. 2014. Scalable Adaptive Graphics Environment: A Novel Way to View and Manipulate Whole-Slide Images. Analytical Cellular Pathology،Vol. 2014, no. 2014, pp.1-1.
https://search.emarefa.net/detail/BIM-1015299

Modern Language Association (MLA)

Mateevitsi, Victor& Levy, Bruce. Scalable Adaptive Graphics Environment: A Novel Way to View and Manipulate Whole-Slide Images. Analytical Cellular Pathology No. 2014 (2014), pp.1-1.
https://search.emarefa.net/detail/BIM-1015299

American Medical Association (AMA)

Mateevitsi, Victor& Levy, Bruce. Scalable Adaptive Graphics Environment: A Novel Way to View and Manipulate Whole-Slide Images. Analytical Cellular Pathology. 2014. Vol. 2014, no. 2014, pp.1-1.
https://search.emarefa.net/detail/BIM-1015299

Data Type

Journal Articles

Language

English

Record ID

BIM-1015299