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This article is part of the supplement: 2006 International Workshop on Multiscale Biological Imaging, Data Mining and Informatics

Open Access Research

Interactive processing and visualization of image data for biomedical and life science applications

Oliver G Staadt1*, Vijay Natarajan2, Gunther H Weber3, David F Wiley4 and Bernd Hamann1

Author affiliations

1 Institute for Data Analysis and Visualization and Department of Computer Science, University of California, Davis, CA, USA

2 Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India

3 Computational Research Division, Lawrence Berkeley National Laboratory, California, USA

4 Stratovan Corporation, Woodland, CA, USA

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Citation and License

BMC Cell Biology 2007, 8(Suppl 1):S10  doi:10.1186/1471-2121-8-S1-S10

Published: 10 July 2007

Abstract

Background

Applications in biomedical science and life science produce large data sets using increasingly powerful imaging devices and computer simulations. It is becoming increasingly difficult for scientists to explore and analyze these data using traditional tools. Interactive data processing and visualization tools can support scientists to overcome these limitations.

Results

We show that new data processing tools and visualization systems can be used successfully in biomedical and life science applications. We present an adaptive high-resolution display system suitable for biomedical image data, algorithms for analyzing and visualization protein surfaces and retinal optical coherence tomography data, and visualization tools for 3D gene expression data.

Conclusion

We demonstrated that interactive processing and visualization methods and systems can support scientists in a variety of biomedical and life science application areas concerned with massive data analysis.