Essential Bioimaging Methods


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Essential Bioimaging Methods


Essential Bioimaging Methods

Author: P. Michael Conn

language: en

Publisher: Academic Press

Release Date: 2009-10-05


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Need a tested, reliable method that works? Put Essential Bioimaging Methods to work for you. Editor Michael Conn has hand-picked the most robust methods from his previously-published volumes in the Methods in Enzymology series. Many of these methods have been briefly updated by the authors that created them and use them in their research, and this book further refines and organizes existing content and focuses on methods that work, including MRI, fMRI, PET, Microscopic optical imaging and other. Part of the Reliable Lab Solution series, this volume provides clear advice and explicit protocols, providing updates to classic, tried-and-true methods and an essential addition to the bookshelf or workbench of any researcher in the field. * Highlights usefulness of techniques in basic research detailing MRI imaging of small animals, fMRI of Macaque monkeys, and baboon model of reperfused stroke * Built from volumes in the flagship brand, Methods in Enzymology * Provides tricks, tips and different approaches

Bio-Imaging


Bio-Imaging

Author: Rajagopal Vadivambal

language: en

Publisher: CRC Press

Release Date: 2015-08-27


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Highlights the Emergence of Image Processing in Food and AgricultureIn addition to uses specifically related to health and other industries, biological imaging is now being used for a variety of applications in food and agriculture. Bio-Imaging: Principles, Techniques, and Applications fully details and outlines the processes of bio-imaging applica

Bioimage Data Analysis Workflows


Bioimage Data Analysis Workflows

Author: Kota Miura

language: en

Publisher: Springer Nature

Release Date: 2019-10-17


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This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.