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Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

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This open access textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis.

Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results in very large amounts of collected image data, the book discusses techniques relying on batch and GPU programming, as well as on powerful deep learning-based algorithms. In addition, downstream data processing techniques are introduced, such as Python libraries for data organization, plotting, and visualizations. Finally, by studying the way individual unique ideas are implemented in the workflows, readers are carefully guided through how the parameters driving biological systems are revealed by analyzing image data. These studies include segmentation of plant tissue epidermis, analysis of the spatial pattern of the eye development in fruit flies, and the analysis of collective cell migration dynamics.

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No copy data

Detail Information

Series Title

Learning Materials in Biosciences

Call Number

X, 212

Publisher

Springer Cham : Springer Cham., 2022

Collation

-

Language

English

ISBN/ISSN

978-3-030-76394-7

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

-

Edition

1

Subject(s)

Cell Biology, Bioinformatics

Specific Detail Info

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Statement of Responsibility

Kota Miura, Nataša Sladoje

Other Information

Cataloger

Suwardi

Source

https://link.springer.com/book/10.1007/978-3-030-76394-7

Validator

imron

Digital Object Identifier (DOI)

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Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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