Bioimage Data Analysis Workflows ‒ Advanced Components and Methods
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 c...
Gorde:
| Formatua: | Online |
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| Hizkuntza: | ingelesa |
| Argitaratua: |
Springer Nature
2022
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| Gaiak: | |
| Sarrera elektronikoa: | ONIX_20221014_9783030763947_6 |
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Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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| _version_ | 1869515163718123520 |
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| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-92877 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-928772025-08-13T13:42:53Z Bioimage Data Analysis Workflows ‒ Advanced Components and Methods Miura, Kota Sladoje, Nataša Analyzing Image Data in Biology Building a Bioimage Analysis Workflow Computational Analysis Chosing the Correct Components for Given Biological Questions Data Handling and Plotting Deep Learning Fast Computation GPU-Acceleration Handling Biological data Machine Learning Phyton Processing Language Understanding Bioimage Analysis Software Textbook thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences 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. 2022-10-15T04:09:25Z 2022-10-15T04:09:25Z 2022-10-14T10:39:12Z 2022 book ONIX_20221014_9783030763947_6 OCN: 1346984629 https://library.oapen.org/handle/20.500.12657/58615 9783030763947 https://directory.doabooks.org/handle/20.500.12854/92877 eng Learning Materials in Biosciences open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/58615/1/978-3-030-76394-7.pdf https://library.oapen.org/bitstream/20.500.12657/58615/1/978-3-030-76394-7.pdf https://library.oapen.org/bitstream/20.500.12657/58615/1/978-3-030-76394-7.pdf Springer Nature Springer 10.1007/978-3-030-76394-7 10.1007/978-3-030-76394-7 9fa3421d-f917-4153-b9ab-fc337c396b5a 6acec104-222c-4e0b-ac1f-a1d9050064a0 9783030763947 Springer 212 Cham [...] open access |
| spellingShingle | Analyzing Image Data in Biology Building a Bioimage Analysis Workflow Computational Analysis Chosing the Correct Components for Given Biological Questions Data Handling and Plotting Deep Learning Fast Computation GPU-Acceleration Handling Biological data Machine Learning Phyton Processing Language Understanding Bioimage Analysis Software Textbook thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Bioimage Data Analysis Workflows ‒ Advanced Components and Methods |
| title | Bioimage Data Analysis Workflows ‒ Advanced Components and Methods |
| title_full | Bioimage Data Analysis Workflows ‒ Advanced Components and Methods |
| title_fullStr | Bioimage Data Analysis Workflows ‒ Advanced Components and Methods |
| title_full_unstemmed | Bioimage Data Analysis Workflows ‒ Advanced Components and Methods |
| title_short | Bioimage Data Analysis Workflows ‒ Advanced Components and Methods |
| title_sort | bioimage data analysis workflows advanced components and methods |
| topic | Analyzing Image Data in Biology Building a Bioimage Analysis Workflow Computational Analysis Chosing the Correct Components for Given Biological Questions Data Handling and Plotting Deep Learning Fast Computation GPU-Acceleration Handling Biological data Machine Learning Phyton Processing Language Understanding Bioimage Analysis Software Textbook thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | Analyzing Image Data in Biology Building a Bioimage Analysis Workflow Computational Analysis Chosing the Correct Components for Given Biological Questions Data Handling and Plotting Deep Learning Fast Computation GPU-Acceleration Handling Biological data Machine Learning Phyton Processing Language Understanding Bioimage Analysis Software Textbook thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSF Cellular biology (cytology) thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSD Molecular biology thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | ONIX_20221014_9783030763947_6 |