Description |
1 online resource (x, 272 pages) : illustrations (some color) |
Series |
Advances in anatomy, embryology and cell biology, 0301-5556 ; 219 |
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Advances in anatomy, embryology, and cell biology ; v. 219.
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Contents |
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 |
Summary |
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 |
Bibliography |
Includes bibliographical references |
Notes |
Online resource; title from PDF title page (SpringerLink, viewed May 25, 2016) |
Subject |
Computational biology.
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Bioinformatics.
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Computational Biology
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Image Processing, Computer-Assisted
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Molecular biology.
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Biotechnology.
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Cellular biology (cytology)
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NATURE -- Reference.
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SCIENCE -- Life Sciences -- Biology.
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SCIENCE -- Life Sciences -- General.
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Bioinformatics
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Computational biology
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Genre/Form |
Electronic books
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Form |
Electronic book
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Author |
Vos, Winnok H. De, editor.
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Munck, Sebastian, 1974- editor.
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Timmermans, Jean-Pierre, editor.
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ISBN |
9783319285498 |
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3319285491 |
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