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001 978-3-030-22386-1
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005 20210511115848.0
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020 _a9783030223861
_9978-3-030-22386-1
024 7 _a10.1007/978-3-030-22386-1
_2doi
050 4 _aR856-R857
072 7 _aMQW
_2bicssc
072 7 _aMED003040
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072 7 _aMQW
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082 0 4 _a610.28
_223
245 1 0 _aBioimage Data Analysis Workflows
_h[electronic resource] /
_cedited by Kota Miura, Nataša Sladoje.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aX, 170 p. 69 illus., 58 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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_2rdacarrier
347 _atext file
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490 1 _aLearning Materials in Biosciences,
_x2509-6125
505 0 _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).
506 0 _aOpen Access
520 _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.
650 0 _aBiomedical engineering.
_9282
650 0 _aCell biology.
_93091
650 0 _aBioinformatics.
_91294
650 0 _aBiology—Technique.
_93092
650 0 _aSystems biology.
_93093
650 0 _aBiological systems.
_93094
650 1 4 _aBiomedical Engineering/Biotechnology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/B24000
_9285
650 2 4 _aCell Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L16008
_93095
650 2 4 _aComputational Biology/Bioinformatics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I23050
_91298
650 2 4 _aBiological Techniques.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L28000
_93096
650 2 4 _aSystems Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/P27050
_93097
700 1 _aMiura, Kota.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_93098
700 1 _aSladoje, Nataša.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_93099
710 2 _aSpringerLink (Online service)
_9141
776 0 8 _iPrinted edition:
_z9783030223854
776 0 8 _iPrinted edition:
_z9783030223878
830 0 _aLearning Materials in Biosciences,
_x2509-6125
_91555
856 4 0 _uhttps://doi.org/10.1007/978-3-030-22386-1
912 _aZDB-2-SBL
912 _aZDB-2-SXB
912 _aZDB-2-SOB
942 _cEBK
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_xAdministrator Library
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_z Administrator Library
999 _c686
_d686
773 _tSpringer Nature Open Access eBook