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Video Bioinformatics

Overview of attention for book
Cover of 'Video Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Live Imaging and Video Bioinformatics
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    Chapter 2 Video Bioinformatics Methods for Analyzing Cell Dynamics: A Survey
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    Chapter 3 High- and Low-Level Contextual Modeling for the Detection of Mild Traumatic Brain Injury
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    Chapter 4 Automated Identification of Injury Dynamics After Neonatal Hypoxia-Ischemia
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    Chapter 5 A Real-Time Analysis of Traumatic Brain Injury from T2 Weighted Magnetic Resonance Images Using a Symmetry-Based Algorithm
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    Chapter 6 Visualizing Cortical Tissue Optical Changes During Seizure Activity with Optical Coherence Tomography
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    Chapter 7 Bio-Inspired Segmentation and Detection Methods for Human Embryonic Stem Cells
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    Chapter 8 A Video Bioinformatics Method to Quantify Cell Spreading and Its Application to Cells Treated with Rho-Associated Protein Kinase and Blebbistatin
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    Chapter 9 Evaluation of Dynamic Cell Processes and Behavior Using Video Bioinformatics Tools
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    Chapter 10 Video Bioinformatics: A New Dimension in Quantifying Plant Cell Dynamics
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    Chapter 11 Understanding Growth of Pollen Tube in Video
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    Chapter 12 Automatic Image Analysis Pipeline for Studying Growth in Arabidopsis
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    Chapter 13 Quantitative Analyses Using Video Bioinformatics and Image Analysis Tools During Growth and Development in the Multicellular Fungus Neurospora crassa
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    Chapter 14 Quantification of the Dynamics of DNA Repair to Ionizing Radiation via Colocalization of 53BP1 and ɣH2AX
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    Chapter 15 A Method to Regulate Cofilin Transport Using Optogenetics and Live Video Analysis
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    Chapter 16 Integrated 5-D Cell Tracking and Linked Analytics in the FARSIGHT Open Source Toolkit
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    Chapter 17 Video Bioinformatics Databases and Software
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    Chapter 18 Understanding of the Biological Process of Nonverbal Communication: Facial Emotion and Expression Recognition
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    Chapter 19 Identification and Retrieval of Moth Images Based on Wing Patterns
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Mentioned by

2 tweeters
1 Wikipedia page


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24 Mendeley
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Video Bioinformatics
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-23724-4
978-3-31-923723-7, 978-3-31-923724-4

Bir Bhanu, Prue Talbot

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Master 5 21%
Unspecified 3 13%
Researcher 3 13%
Student > Doctoral Student 3 13%
Other 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 33%
Computer Science 6 25%
Unspecified 3 13%
Neuroscience 3 13%
Engineering 2 8%
Other 2 8%