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Video Bioinformatics Databases and Software

  • Ninad S. ThakoorEmail author
  • Alberto C. Cruz
  • Bir Bhanu
Chapter
Part of the Computational Biology book series (COBO, volume 22)

Abstract

Video bioinformatics focuses on understanding biological events on various timescales by analyzing spatiotemporal images. Fundamental to the success of this venture is the ability to automatically analyze these images to extract relevant information. For evaluation of an automated image analysis technique, one needs to have the image data, the ground-truth (i.e., the expected outcome), and a statistically meaningful testing process. The field of computer vision, which deals with the automated analysis of all sorts of images, has been making steady progress for years. It has benefited immensely by the availability of public datasets and shared software. This chapter surveys these databases and software.

Keywords

Computer Vision Algorithm Plant Organelle Linear Algebra Problem Murine Stem Cell Matrix Laboratory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

This work was supported in part by the National Science Foundation Integrative Graduate Education and Research Traineeship (IGERT) in Video Bioinformatics (DGE-0903667). Alberto Cruz is an IGERT Fellow.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ninad S. Thakoor
    • 1
    Email author
  • Alberto C. Cruz
    • 1
  • Bir Bhanu
    • 1
  1. 1.Center for Research in Intelligent SystemsUniversity of CaliforniaRiversideUSA

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