LEADER 00000cam  2200541Ii 4500 
001    on1124957676 
003    OCoLC 
005    20200419054735.4 
006    m     o  d         
007    cr cnu|||unuuu 
008    191025s2020    sz      o     000 0 eng d 
015    GBB9I7590|2bnb 
016 7  019607548|2Uk 
019    1125985009 
020    9783030223861|q(electronic book) 
020    3030223868|q(electronic book) 
020    |z9783030223854|q(print) 
024 7  10.1007/978-3-030-22386-1|2doi 
024 7  10.1007/978-3-030-22 
035    (OCoLC)1124957676|z(OCoLC)1125985009 
037    com.springer.onix.9783030223861|bSpringer Nature 
040    GW5XE|beng|erda|epn|cGW5XE|dLQU|dUKMGB|dOCLCF 
049    STJJ 
050  4 QH207 
082 04 570.28/2|223 
245 00 Bioimage data analysis workflows /|cKota Miura, Nataša 
       Sladoje, editors. 
264  1 Cham :|bSpringer,|c2020. 
300    1 online resource (x, 170 pages) :|billustrations (some 
       color). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  Learning materials in biosciences,|x2509-6125 
505 0  Workflows 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  Open access.|5GW5XE 
520    This 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. 
588 0  Online resource; title from PDF title page (SpringerLink, 
       viewed October 25, 2019). 
590    SpringerLink|bSpringer Nature Open Access eBooks 
650  0 Microscopy|xTechnique. 
650  0 Electron microscopy. 
650  7 Electron microscopy.|2fast|0(OCoLC)fst00906682 
650  7 Microscopy|xTechnique.|2fast|0(OCoLC)fst01020073 
700 1  Miura, Kōta,|eeditor. 
700 1  Sladoje, Nataša,|eeditor. 
830  0 Learning materials in biosciences.|x2509-6125 
914    on1124957676 
994    92|bSTJ