Web Microanalysis of Big Image Data

• Main Authors: Bajcsy, Peter (Author, http://id.loc.gov/vocabulary/relators/aut), Chalfoun, Joe (http://id.loc.gov/vocabulary/relators/aut), Simon, Mylene (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Signal processing.; Image processing.; Speech processing systems.; Pattern recognition.; Biomathematics.; Signal, Image and Speech Processing.; Pattern Recognition.; Physiological, Cellular and Medical Topics.

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 ex...

Table of Contents:

• 1 Introduction
• 2 Using Web Image Processing Pipeline for Big Data Microscopy Experiments
• 3 Example Use Cases
• 4 Building Web Image Processing Pipeline for Big Images
• 5 Image Processing Algorithms
• 6 Interoperability Between Software and Hardware
• 7 Supplementary Information.