Author: | ISBN: | 9783319237244 | |
Publisher: | Springer International Publishing | Publication: | December 16, 2015 |
Imprint: | Springer | Language: | English |
Author: | |
ISBN: | 9783319237244 |
Publisher: | Springer International Publishing |
Publication: | December 16, 2015 |
Imprint: | Springer |
Language: | English |
The advances of live cell video imaging and high-throughput technologies for functional and chemical genomics provide unprecedented opportunities to understand how biological processes work in subcellular
and multicellular systems. The interdisciplinary research field of Video Bioinformatics is defined by Bir
Bhanu as the automated processing, analysis, understanding, data mining, visualization, query-based
retrieval/storage of biological spatiotemporal events/data and knowledge extracted from dynamic images
and microscopic videos. Video bioinformatics attempts to provide a deeper understanding of continuous
and dynamic life processes.
Genome sequences alone lack spatial and temporal information, and video imaging of specific molecules
and their spatiotemporal interactions, using a range of imaging methods, are essential to understand
how genomes create cells, how cells constitute organisms, and how errant cells cause disease. The book
examines interdisciplinary research issues and challenges with examples that deal with organismal dynamics,
intercellular and tissue dynamics, intracellular dynamics, protein movement, cell signaling and software
and databases for video bioinformatics.
Topics and Features
• Covers a set of biological problems, their significance, live-imaging experiments, theory and
computational methods, quantifiable experimental results and discussion of results.
• Provides automated methods for analyzing mild traumatic brain injury over time, identifying injury
dynamics after neonatal hypoxia-ischemia and visualizing cortical tissue changes during seizure
activity as examples of organismal dynamics
• Describes techniques for quantifying the dynamics of human embryonic stem cells with examples
of cell detection/segmentation, spreading and other dynamic behaviors which are important for
characterizing stem cell health
• Examines and quantifies dynamic processes in plant and fungal systems such as cell trafficking,
growth of pollen tubes in model systems such as Neurospora Crassa and Arabidopsis
• Discusses the dynamics of intracellular molecules for DNA repair and the regulation of cofilin
transport using video analysis
• Discusses software, system and database aspects of video bioinformatics by providing examples of
5D cell tracking by FARSIGHT open source toolkit, a survey on available databases and software,
biological processes for non-verbal communications and identification and retrieval of moth images
This unique text will be of great interest to researchers and graduate students of Electrical Engineering,
Computer Science, Bioengineering, Cell Biology, Toxicology, Genetics, Genomics, Bioinformatics, Computer
Vision and Pattern Recognition, Medical Image Analysis, and Cell Molecular and Developmental Biology.
The large number of example applications will also appeal to application scientists and engineers.
Dr. Bir Bhanu is Distinguished Professor of Electrical & C omputer Engineering, Interim Chair of the
Department of Bioengineering, Cooperative Professor of Computer Science & Engineering, and Mechanical
Engineering and the Director of the Center for Research in Intelligent Systems, at the University of California,
Riverside, California, USA.
Dr. Prue Talbot is Professor of Cell Biology & Neuroscience and Director of the Stem Cell Center and Core at
the University of California Riverside, California, USA.
The advances of live cell video imaging and high-throughput technologies for functional and chemical genomics provide unprecedented opportunities to understand how biological processes work in subcellular
and multicellular systems. The interdisciplinary research field of Video Bioinformatics is defined by Bir
Bhanu as the automated processing, analysis, understanding, data mining, visualization, query-based
retrieval/storage of biological spatiotemporal events/data and knowledge extracted from dynamic images
and microscopic videos. Video bioinformatics attempts to provide a deeper understanding of continuous
and dynamic life processes.
Genome sequences alone lack spatial and temporal information, and video imaging of specific molecules
and their spatiotemporal interactions, using a range of imaging methods, are essential to understand
how genomes create cells, how cells constitute organisms, and how errant cells cause disease. The book
examines interdisciplinary research issues and challenges with examples that deal with organismal dynamics,
intercellular and tissue dynamics, intracellular dynamics, protein movement, cell signaling and software
and databases for video bioinformatics.
Topics and Features
• Covers a set of biological problems, their significance, live-imaging experiments, theory and
computational methods, quantifiable experimental results and discussion of results.
• Provides automated methods for analyzing mild traumatic brain injury over time, identifying injury
dynamics after neonatal hypoxia-ischemia and visualizing cortical tissue changes during seizure
activity as examples of organismal dynamics
• Describes techniques for quantifying the dynamics of human embryonic stem cells with examples
of cell detection/segmentation, spreading and other dynamic behaviors which are important for
characterizing stem cell health
• Examines and quantifies dynamic processes in plant and fungal systems such as cell trafficking,
growth of pollen tubes in model systems such as Neurospora Crassa and Arabidopsis
• Discusses the dynamics of intracellular molecules for DNA repair and the regulation of cofilin
transport using video analysis
• Discusses software, system and database aspects of video bioinformatics by providing examples of
5D cell tracking by FARSIGHT open source toolkit, a survey on available databases and software,
biological processes for non-verbal communications and identification and retrieval of moth images
This unique text will be of great interest to researchers and graduate students of Electrical Engineering,
Computer Science, Bioengineering, Cell Biology, Toxicology, Genetics, Genomics, Bioinformatics, Computer
Vision and Pattern Recognition, Medical Image Analysis, and Cell Molecular and Developmental Biology.
The large number of example applications will also appeal to application scientists and engineers.
Dr. Bir Bhanu is Distinguished Professor of Electrical & C omputer Engineering, Interim Chair of the
Department of Bioengineering, Cooperative Professor of Computer Science & Engineering, and Mechanical
Engineering and the Director of the Center for Research in Intelligent Systems, at the University of California,
Riverside, California, USA.
Dr. Prue Talbot is Professor of Cell Biology & Neuroscience and Director of the Stem Cell Center and Core at
the University of California Riverside, California, USA.