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Super-resolution Fluorescence Microscopy

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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...

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Updated: Jun 10, 2026

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Published on: December 12, 2019

Ultrascale collaborative visualization using a display-rich global cyberinfrastructure.

Byungil Jeong¹, Jason Leigh, Andrew Johnson

¹University of Texas at Austin, TX, USA. bijeong@tacc.utexas.edu

IEEE Computer Graphics and Applications

|July 24, 2010

Summary

This summary is machine-generated.

The Scalable Adaptive Graphics Environment (SAGE) provides high-performance middleware for large-scale collaborative visualization. It connects computing resources to ultraresolution displays globally, enabling advanced cyberinfrastructure applications.

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Area of Science:

Computer Science
High-Performance Computing
Scientific Visualization

Background:

Ultrascale visualization demands robust middleware solutions.
Global cyberinfrastructure requires efficient resource connectivity.
Distributed ultraresolution displays present unique rendering challenges.

Purpose of the Study:

To introduce the Scalable Adaptive Graphics Environment (SAGE) as a high-performance graphics middleware.
To facilitate ultrascale collaborative visualization.
To leverage global cyberinfrastructure for advanced display technologies.

Main Methods:

Development of high-performance graphics middleware.
Integration with high-performance computing resources.
Networking capabilities for distributed ultraresolution displays.

Main Results:

SAGE enables ultrascale collaborative visualization.
The middleware is deployed at dozens of sites worldwide.
It effectively connects distributed computing resources to ultraresolution displays.

Conclusions:

SAGE is a proven solution for large-scale, collaborative visualization.
Its architecture supports the demands of global cyberinfrastructure.
The middleware facilitates the use of advanced display technologies in scientific research.