Video Bioinformatics: From Live Imaging to Knowledge

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· Computational Biology Book 22 · Springer
Ebook
381
Pages
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About this ebook

This unique text/reference presents a selection of innovative computational techniques to enable the efficient analysis of biological processes in large video sequences and databases. Examples are drawn from numerous topics of significant current interest, such as 2D/3D live imaging, mild-traumatic brain injury, human embryonic stem cells, the growth of pollen tubes, cell tracking, and cell trafficking. To address various challenges, multiple imaging modalities are proposed at varying spatial and temporal resolutions, in conjunction with novel computational methods for video mining and knowledge discovery.

Topics and features: provides a detailed introduction to the field of video bioinformatics; examines the analysis and visualization of injured brain tissue in rodent models, using magnetic resonance imaging and optical coherence tomography; discusses segmentation of stem cell colonies and analysis of individual stem cells; describes the application of commercially available software to solve problems in video bioinformatics related to stem cell behavior in vitro; reviews video bioinformatics problems and solutions in plant and fungus biology; presents a high throughput method for quantifying DNA damage in cells, and a method that uses optogenetics to regulate protein transport in cultured cells; surveys the various software tools and databases available for use with video bioinformatics problems.

This pioneering volume is essential reading on the emerging, interdisciplinary field of video bioinformatics. The text will be of great benefit to researchers and graduate students from a wide range of different areas, including bioinformatics, bioengineering, plant sciences, cell, molecular and developmental biology, genetics and genomics.

About the author

Dr. Bir Bhanu is a Distinguished Professor and the Director of the Center for Research in Intelligent Systems at the University of California at Riverside, USA. His other Springer publications include the titles Distributed Video Sensor Networks, Human Recognition at a Distance in Video, and Human Ear Recognition by Computer.

Dr. Prue Talbot is a Professor of Cell Biology and the Director of the Stem Cell Center and Core Facility at the University of California at Riverside, USA. She is also the Director of the Inland Empire Stem Cell Consortium.

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