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Focus on Bio-Image Informatics -

Focus on Bio-Image Informatics

Buch | Softcover
X, 272 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-28547-4 (ISBN)
CHF 149,75 inkl. MwSt
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This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highlights the major directions and provides an excellent reference work for both young and experienced researchers.

Jean-Pierre Timmermans is volume and series editor of Advances in Anatomy, Embryology and Cell Biology, President of the UA Research Council and European Associate Editor of "The Anatomical Record" and works at University of Antwerp, Antwerp, Belgium

Seeing is believing - quantifying is convincing: Computational image analysis in biology.- Image degradation in microscopic images: Avoidance, artifacts and solutions.- Transforms and operators for directional bioimage analysis: A survey.- Analyzing protein clusters on the plasma membrane: Application of spatial statistical analysis methods on super-resolution microscopy images.- Image informatics strategies for deciphering neuronal connectivity.- Integrated high-content quantification of intracellular ROS levels and mitochondrial morphofunction.- KNIME for open-source BioImage analysis - A Tutorial.- Segmenting and tracking multiple dividing targets using ilastik.- Challenges and benchmarks in BioImage analysis.- BioImage informatics for big data.

Erscheinungsdatum
Reihe/Serie Advances in Anatomy, Embryology and Cell Biology
Zusatzinfo X, 272 p. 85 illus., 81 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Weitere Themen Bioinformatik
Naturwissenschaften Biologie Mikrobiologie / Immunologie
Naturwissenschaften Biologie Zellbiologie
Technik Umwelttechnik / Biotechnologie
Schlagworte bio-image analysis • Bioinformatics • Biomedical and Life Sciences • Biotechnology • Cell Biology • cellular phenotyping • image reconstruction • Image Storage • Model organisms • Segmentation
ISBN-10 3-319-28547-5 / 3319285475
ISBN-13 978-3-319-28547-4 / 9783319285474
Zustand Neuware
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