Sangam: A Confluence of Knowledge Streams

Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

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dc.contributor Miura, Kota
dc.contributor Sladoje, Nataša
dc.date 2022-10-15T04:09:25Z
dc.date 2022-10-15T04:09:25Z
dc.date 2022-10-14T10:39:12Z
dc.date 2022
dc.date.accessioned 2023-02-17T21:40:40Z
dc.date.available 2023-02-17T21:40:40Z
dc.identifier ONIX_20221014_9783030763947_6
dc.identifier https://library.oapen.org/handle/20.500.12657/58615
dc.identifier https://directory.doabooks.org/handle/20.500.12854/92877
dc.identifier https://library.oapen.org/bitstream/20.500.12657/58615/1/978-3-030-76394-7.pdf
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/249006
dc.description 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. The presented content extends the Bioimage Data Analysis Workflows textbook (Miura, Sladoje, 2020), published in this same series, with new contributions and advanced material, while preserving the well-appreciated pedagogical approach adopted and promoted during the training schools for bioimage analysis organized within NEUBIAS – the Network of European Bioimage Analysts. This textbook is intended for advanced students in various fields of the life sciences and biomedicine, as well as staff scientists and faculty members who conduct regular quantitative analyses of microscopy images.
dc.format image/jpeg
dc.language eng
dc.publisher Springer Nature
dc.publisher Springer
dc.relation Learning Materials in Biosciences
dc.rights open access
dc.subject Analyzing Image Data in Biology
dc.subject Building a Bioimage Analysis Workflow
dc.subject Computational Analysis
dc.subject Chosing the Correct Components for Given Biological Questions
dc.subject Data Handling and Plotting
dc.subject Deep Learning
dc.subject Fast Computation
dc.subject GPU-Acceleration
dc.subject Handling Biological data
dc.subject Machine Learning
dc.subject Phyton
dc.subject Processing Language
dc.subject Understanding Bioimage Analysis Software
dc.subject bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSF Cellular biology (cytology)
dc.subject bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSD Molecular biology
dc.subject bic Book Industry Communication::P Mathematics & science::PN Chemistry::PNF Analytical chemistry
dc.subject bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
dc.title Bioimage Data Analysis Workflows ‒ Advanced Components and Methods
dc.resourceType book
dc.alternateIdentifier 9783030763947
dc.alternateIdentifier 10.1007/978-3-030-76394-7
dc.licenseCondition open access
dc.licenseCondition n/a
dc.identifierdoi 10.1007/978-3-030-76394-7
dc.relationisPublishedBy 9fa3421d-f917-4153-b9ab-fc337c396b5a
dc.relationisbn 9783030763947
dc.pages 212
dc.relationisFundedBy 6acec104-222c-4e0b-ac1f-a1d9050064a0
dc.placepublication Cham
dc.grantnumber [...]
dc.imprint Springer


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