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Brain and Human Body Modeling

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ISBN: 9783030212933 Year: Pages: 402 DOI: 10.1007/978-3-030-21293-3 Language: English
Publisher: Springer Nature
Subject: Agriculture (General) --- Medicine (General)
Added to DOAB on : 2020-02-05 11:21:08
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This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest developments in computational modelling and human phantom development to assess a given technology’s safety and efficacy in a timely manner. Describes construction and application of computational human models including anatomically detailed and subject specific models; Explains new practices in computational human modeling for neuroelectromagnetics, electromagnetic safety, and exposure evaluations; Includes a survey of modern applications for which computational human models are critical; Describes cellular-level interactions between the human body and electromagnetic fields.

Bioimage Data Analysis Workflows

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Book Series: Learning Materials in Biosciences ISBN: 9783030223861 Year: Pages: 170 DOI: 10.1007/978-3-030-22386-1 Language: English
Publisher: Springer Nature
Subject: Biology --- Medicine (General)
Added to DOAB on : 2020-02-04 11:21:06
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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.

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