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Interoperability of Web Computational Plugins for Large Microscopy Image Analyses

Published

Author(s)

Peter Bajcsy

Abstract

This NIST internal report provides a summary of the workshop on Interoperability of Web Computational Plugins for Large Microscopy Image Analyses. The workshop took place at NIST Gaithersburg, MD, on December 5-6, 2019, and its web page is accessible at this URL. The workshop brought together representatives from 21 institutions spanning research, academic, and industrial communities focusing on big image analyses in computer cloud environments. Such big image analyses are frequently supported by web client-server systems that enable executing a wide spectrum of algorithms to extract image-based measurements, and perform image classification, object detection, object registration, object tracking, and object recognition. The purpose of this workshop was to discuss the needs for big image analyses in the computer cloud environments in terms of software interoperability. Specifically, the workshop targeted bio-medical and bio- materials science applications, current open-source technical solutions for big image analyses, and community-wide research and development (R&D) interests in defining inter-operable algorithmic plugins for web client-server systems designed for big image analyses.
Citation
NIST Interagency/Internal Report (NISTIR) - 8297
Report Number
8297

Keywords

Big image analyses, software containers, interoperability of software, microscopy
Created March 20, 2020, Updated May 20, 2020