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Focus on bio-image informatics

Vos, Winnok H. De.

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Focus on bio-image informatics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Focus on bio-image informatics/ edited by Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans.
other author:	Vos, Winnok H. De.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	x, 272 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Computational biology. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28549-8
ISBN:	9783319285498

Focus on bio-image informatics
Focus on bio-image informatics[electronic resource] /edited by Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans. - Cham :Springer International Publishing :2016. - x, 272 p. :ill. (some col.), digital ;24 cm. - Advances in anatomy, embryology and cell biology,2190301-5556 ;. - Advances in anatomy, embryology and cell biology ;211..

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.

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.

ISBN: 9783319285498

Standard No.: 10.1007/978-3-319-28549-8doiSubjects--Topical Terms:

590653
Computational biology.

LC Class. No.: QH324.2

Dewey Class. No.: 570.28566

Focus on bio-image informatics
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245 0 0 $a Focus on bio-image informatics $h [electronic resource] / $c edited by Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans.
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300 $a x, 272 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advances in anatomy, embryology and cell biology, $x 0301-5556 ; $v 219
505 0 $a 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.
520 $a 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.
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700 1 $a Vos, Winnok H. De. $3 2195432
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