Focus on Bio-Image Informatics

ISBN-13: 9783319285474 / Angielski / Miękka / 2016 / 272 str.

Winnok De Vos; Sebastian Munck; Jean-Pierre Timmermans

Opis

Meticulous observation and faithful documentation of small-scale biological phenomena have laid the foundation for modern cell and developmental biology. Invaluable information has been garnered on the morphological rearrangements that accompany crucial decision points such as cell division, differentiation and embryonic development. Even today, interpretation and annotation of microscopy images offers an elegant and convincing way of proving scientific observations. However, in an era of omics, life science is becoming evermore quantitative. This also holds true for microscopy. On the quest towards quantitative biology and systems microscopy, manual microscopic documentation makes way for the standardized, high-throughput workflows that typify molecular platforms. And whilst the complexity of the biological processes under investigation inflates image data set dimensions, an unbiased assessment of the image content becomes an equally important challenge. A consequent need for novel strategies of image warehousing, reconstruction, and automated analysis has sparked the development of a new discipline, bio-image informatics, in which systems biology, modeling and computational analyses unite to provide robust, spatiotemporally defined information on the building blocks of life.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.

Spis treści

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.

O autorze

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

Blurb

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.