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001 978-3-030-22386-1
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020 _a9783030223861
_9978-3-030-22386-1
024 7 _a10.1007/978-3-030-22386-1
_2doi
050 4 _aTP248.13-248.65
072 7 _aTCB
_2bicssc
072 7 _aSCI010000
_2bisacsh
072 7 _aTCB
_2thema
082 0 4 _a660.6
_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
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLearning Materials in Biosciences,
_x2509-6133
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 _aBiotechnology.
650 0 _aCytology.
650 0 _aBioinformatics.
650 0 _aBiology
_xTechnique.
650 1 4 _aBiotechnology.
650 2 4 _aCell Biology.
650 2 4 _aComputational and Systems Biology.
650 2 4 _aBiological Techniques.
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:
_z9783030223854
776 0 8 _iPrinted edition:
_z9783030223878
830 0 _aLearning Materials in Biosciences,
_x2509-6133
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
999 _c41
_d41