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Titlebook: Web Microanalysis of Big Image Data; Peter Bajcsy,Joe Chalfoun,Mylene Simon Book 2018 Springer International Publishing AG 2018 Microscopy

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发表于 2025-3-21 19:19:55 | 显示全部楼层 |阅读模式
书目名称Web Microanalysis of Big Image Data
编辑Peter Bajcsy,Joe Chalfoun,Mylene Simon
视频video
概述Provides web tools and introductory information about methods and infrastructure components for processing images from big data microscopy experiments.Offers design choices and tradeoffs in web image
图书封面Titlebook: Web Microanalysis of Big Image Data;  Peter Bajcsy,Joe Chalfoun,Mylene Simon Book 2018 Springer International Publishing AG 2018 Microscopy
描述.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)...The book comes with test image collections and a web software system to increase the reader‘s understanding and to provide practical tools for conducting big image experiments...By providing educational materials and software tools at the intersection of microscopy image analyses and computational
出版日期Book 2018
关键词Microscopy imaging; Image analyses; Image stitching; Image segmentation; Image tracking; Image feature ex
版次1
doihttps://doi.org/10.1007/978-3-319-63360-2
isbn_softcover978-3-319-87533-0
isbn_ebook978-3-319-63360-2
copyrightSpringer International Publishing AG 2018
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发表于 2025-3-21 23:44:51 | 显示全部楼层
Introduction to Big Data Microscopy Experiments,This chapter introduces the key topics of this book, such as web image processing pipeline and big data experiments, and then presents topics of interest to the multiple disciplines of big image data. We also highlight challenges of big data experiments and the role of a web image processing pipeline in the quest for reproducible science.
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Example Use Cases,This chapter describes three use cases that leverage the functionalities in WIPP. The use cases focus on the following problems:.In each of these use cases, we highlight the step-by-step procedure to solve each problem and then explore the output results.
发表于 2025-3-22 10:18:11 | 显示全部楼层
Peter Bajcsy,Joe Chalfoun,Mylene SimonProvides web tools and introductory information about methods and infrastructure components for processing images from big data microscopy experiments.Offers design choices and tradeoffs in web image
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发表于 2025-3-22 19:27:12 | 显示全部楼层
https://doi.org/10.1007/978-3-319-63360-2Microscopy imaging; Image analyses; Image stitching; Image segmentation; Image tracking; Image feature ex
发表于 2025-3-22 23:33:53 | 显示全部楼层
Functionality of Web Image Processing Pipeline,f three WIPP modules, such as image processing, image feature extraction, and statistical modeling modules. By providing functionality exercises, a reader can become familiar with the three modules of WIPP.
发表于 2025-3-23 03:26:14 | 显示全部楼层
Functionality of Web Image Processing Pipeline,f three WIPP modules, such as image processing, image feature extraction, and statistical modeling modules. By providing functionality exercises, a reader can become familiar with the three modules of WIPP.
发表于 2025-3-23 07:36:47 | 显示全部楼层
Components of Web Image Processing Pipeline,IPP generic usage scenario, we first map the WIPP functionality to information technologies that form a set of building blocks for client-server applications. Next, we describe the information technologies at a high level so that a reader gains some general understanding about designing web image processing pipelines.
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