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035   $a(OAPEN)1007135
035   $a(MiAaPQ)EBC6114378
035   $a(DE-He213)978-3-030-22386-1
035   $a(Au-PeEL)EBL6114378
035   $a(OCoLC)1143642007
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/34628
035   $a(PPN)260301523
035   $a(EXLCZ)994100000009606115
100   $a20191017d2020      u|             0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aBioimage Data Analysis Workflows$b[electronic resource] /$fedited by Kota Miura, Nata?a Sladoje
205   $a1st ed. 2020.
210   $aCham$cSpringer Nature$d2020
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (170) 
225 1 $aLearning Materials in Biosciences,$x2509-6125
311   $a3-030-22385-X 
327   $aWorkflows and Components of Bioimage Analysis -- Measurements of Intensity Dynamics at the Periphery of the Nucleus -- 3D Quantitative Colocalisation Analysis -- The NEMO Dots Assembly: Single-Particle Tracking and Analysis -- Introduction to MATLAB: Image Analysis & Brownian Motion -- Resolving the process of Clathrin Mediated Endocytosis Using Correlative Light & Electron Microscopy (CLEM).
330   $aThis Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.
410  0$aLearning Materials in Biosciences,$x2509-6125
606   $aBiomedical engineering
606   $aCell biology
606   $aBioinformatics
606   $aBiology?Technique
606   $aSystems biology
606   $aBiological systems
606   $aBiomedical Engineering/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/B24000
606   $aCell Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L16008
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aBiological Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/L28000
606   $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/P27050
610   $aMedicine
610   $aBiomedical engineering
610   $aCell biology
610   $aBioinformatics
610   $aBiology?Technique
610   $aSystems biology
610   $aBiological systems
615  0$aBiomedical engineering.
615  0$aCell biology.
615  0$aBioinformatics.
615  0$aBiology?Technique.
615  0$aSystems biology.
615  0$aBiological systems.
615 14$aBiomedical Engineering/Biotechnology.
615 24$aCell Biology.
615 24$aComputational Biology/Bioinformatics.
615 24$aBiological Techniques.
615 24$aSystems Biology.
676   $a610.28
700   $aMiura$b Kota$4edt$01355558
702   $aMiura$b Kota$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSladoje$b Nata?a$4edt$4http://id.loc.gov/vocabulary/relators/edt
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906   $aBOOK
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996   $aBioimage Data Analysis Workflows$93360616
997   $aUNINA