001431545 000__ 03903cam\a2200529\i\4500
001431545 001__ 1431545
001431545 003__ OCoLC
001431545 005__ 20230308003241.0
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001431545 008__ 221007s2022\\\\sz\a\\\\o\\\\\001\0\eng\d
001431545 019__ $$a1346530591$$a1350581610
001431545 020__ $$a9783030763947$$q(electronic bk.)
001431545 020__ $$a3030763943$$q(electronic bk.)
001431545 020__ $$z9783030763930$$q(print)
001431545 020__ $$z3030763935
001431545 0247_ $$a10.1007/978-3-030-76394-7$$2doi
001431545 035__ $$aSP(OCoLC)1346984629
001431545 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLCF$$dEBLCP$$dOCLCQ
001431545 049__ $$aISEA
001431545 050_4 $$aQH207
001431545 08204 $$a570.28/2$$223/eng/20221007
001431545 24500 $$aBioimage data analysis workflows -- advanced components and methods /$$cKota Miura, Nataša Sladoje, editors.
001431545 264_1 $$aCham :$$bSpringer,$$c2022.
001431545 300__ $$a1 online resource (x, 212 pages) :$$bcolor illustrations.
001431545 336__ $$atext$$btxt$$2rdacontent
001431545 337__ $$acomputer$$bc$$2rdamedia
001431545 338__ $$aonline resource$$bcr$$2rdacarrier
001431545 4901_ $$aLearning materials in biosciences,$$x2509-6133
001431545 500__ $$aIncludes index.
001431545 5050_ $$aIntroduction -- Batch Processing Methods in ImageJ -- Python: Data Handling, Analysis and Plotting -- Building a Bioimage Analysis Workflow Using Deep Learning -- GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ -- How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut -- i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster -- A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration.
001431545 5060_ $$aOpen access.$$5GW5XE
001431545 520__ $$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.
001431545 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 7, 2022).
001431545 650_0 $$aMicroscopy$$xTechnique.
001431545 650_0 $$aElectron microscopy.
001431545 655_0 $$aElectronic books.
001431545 7001_ $$aMiura, Kota,$$eeditor.
001431545 7001_ $$aSladoje, Nataša,$$eeditor.
001431545 77608 $$iPrint version: $$z3030763935$$z9783030763930$$w(OCoLC)1246350727
001431545 830_0 $$aLearning materials in biosciences,$$x2509-6133
001431545 852__ $$bebk
001431545 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-030-76394-7$$zOnline Access$$91397441.2
001431545 909CO $$ooai:library.usi.edu:1431545$$pGLOBAL_SET
001431545 980__ $$aBIB
001431545 980__ $$aEBOOK
001431545 982__ $$aEbook
001431545 983__ $$aOnline
001431545 994__ $$a92$$bISE