000 04108nam a22006375i 4500
001 978-3-030-22386-1
003 DE-He213
005 20201217111318.0
007 cr nn 008mamaa
008 191017s2020 gw | s |||| 0|eng d
020 _a9783030223861
_9978-3-030-22386-1
024 7 _a10.1007/978-3-030-22386-1
_2doi
072 7 _aMQW
_2bicssc
072 7 _aMED003040
_2bisacsh
072 7 _aMQW
_2thema
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 _btxt
337 _bc
338 _bcr
347 _atext file
_bPDF
_2rda
490 1 _aLearning Materials in Biosciences,
_x2509-6125
500 _aIT Carlow ebook
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.
_91725
650 0 _aCell biology.
_997922
650 0 _aBioinformatics.
_9923
650 0 _aBiology-Technique.
_997923
650 0 _aSystems biology.
_997924
650 0 _aBiological systems.
_997925
650 1 4 _aBiomedical Engineering/Biotechnology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/B24000
_997926
650 2 4 _aCell Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L16008
_997927
650 2 4 _aComputational Biology/Bioinformatics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I23050
_997928
650 2 4 _aBiological Techniques.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L28000
_997929
650 2 4 _aSystems Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/P27050
_997930
700 1 _aMiura, Kota.
_997931
700 1 _aSladoje, Nataša.
_997932
710 2 _aSpringerLink (Online service)
_930940
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030223854
776 0 8 _iPrinted edition:
_z9783030223878
830 0 _aLearning Materials in Biosciences,
_x2509-6125
_997933
856 0 _ySend a message to library staff if access to this online resource is unavailable
_uhttps://tinyurl.com/y2hljxwd
856 4 0 _yLink to Springer open access ebook
_uhttps://doi.org/10.1007/978-3-030-22386-1
912 _aZDB-2-SBL
912 _aZDB-2-SXB
912 _aZDB-2-SOB
999 _c49410
_d49410