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001 978-3-030-76394-7
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020 _a9783030763947
_9978-3-030-76394-7
024 7 _a10.1007/978-3-030-76394-7
_2doi
050 4 _aQH573-671
072 7 _aPSF
_2bicssc
072 7 _aSCI017000
_2bisacsh
072 7 _aPSF
_2thema
082 0 4 _a571.6
_223
245 1 0 _aBioimage Data Analysis Workflows ‒ Advanced Components and Methods
_h[electronic resource] /
_cedited by Kota Miura, Nataša Sladoje.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aX, 212 p. 265 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLearning Materials in Biosciences,
_x2509-6133
505 0 _aIntroduction -- Batch Processing Methods in ImageJ -- Python: Data Handling, Analysis and Plotting -- Building a Bioimage Analysis Workflow Using Deep Learning -- GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ -- How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut -- i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster -- A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration.
506 0 _aOpen Access
520 _aThis 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.
650 0 _aCytology.
650 0 _aBioinformatics.
650 0 _aImaging systems in biology.
650 1 4 _aCell Biology.
650 2 4 _aComputational and Systems Biology.
650 2 4 _aBiological Imaging.
700 1 _aMiura, Kota.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSladoje, Nataša.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030763930
776 0 8 _iPrinted edition:
_z9783030763954
830 0 _aLearning Materials in Biosciences,
_x2509-6133
856 4 0 _uhttps://doi.org/10.1007/978-3-030-76394-7
912 _aZDB-2-SBL
912 _aZDB-2-SXB
912 _aZDB-2-SOB
999 _c87
_d87