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PUBLICATIONS

Web Microanalysis of Big Image Data

Published

Author(s)

Peter Bajcsy, Joe Chalfoun, Mylene H. Simon

Abstract

This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to demonstrate how information processing of repetitive, laborious and tedious analysis can be automated with a user-friendly system. Interactions of web system components and their impact on computational scalability, provenance information gathering, interactive display, and computing are explained in a top-down presentation of technical details. Web Microanalysis of Big Image Data includes descriptions of WIPP functionalities, use cases, and components of the web software system (web server and client architecture, algorithms, and hardware-software dependencies).
Citation
Web Microanalysis of Big Image Data
Publisher Info
Springer International Publishing, CH-6330 Cham (ZG), -1
Pub Type
Books

Keywords

image processing, big data, web systems, microscopy imaging
Cell measurements, Regenerative medicine and advanced therapy, Cloud computing and virtualization, Complex systems, Computational science, Composition and structure and Image and signal processing

Citation

Bajcsy, P. , Chalfoun, J. and Simon, M. (2018), Web Microanalysis of Big Image Data, Springer International Publishing, CH-6330 Cham (ZG), -1 (Accessed May 20, 2025)

Issues

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Created February 1, 2018, Updated September 7, 2018