Biomedical Imaging GroupSTI
English only   BIG > Publications > OBIA

 Home Page
 News & Events
 Tutorials and Reviews
 Download Algorithms

 All BibTeX References

Advanced Image Processing for Biology, and the Open Bio Image Alliance (OBIA)

M. Unser, D. Sage, R. Delgado-Gonzalo

Proceedings of the Twenty-First European Signal Processing Conference (EUSIPCO'13), Marrakech, Kingdom of Morocco, September 9-13, 2013, paper no. 1569744383.

The field of biological imaging has evolved considerably during the past decade as a result of recent (r)evolutions in fluorescence labeling and optical microscopy. Bioimage informatics has been identified as a top priority to cope with the ever-increasing amount of microscopy data.

The challenges and opportunities for researchers in image and signal processing are manyfold. They span the areas of mathematical imaging, with problems such as denoising, 3-D deconvolution and super-resolution localization, as well as image analysis for the segmentation, detection and recognition of biological structures in 3-D. The dynamic aspect of the data requires the development of novel algorithms for tracking fluorescent particles and analyzing high-throughput microscopy data (labeling of cells, phenotyping, extraction of gene expression profiles).

A crucial aspect of bioimage informatics is making image analysis tools available to biologists so that they can be applied to real data and used on a routine basis. Developers may benefit from open-source frameworks and international initiative such as OBIA for easying-up this process and creating collaboration networks with biologists.

AUTHOR="Unser, M. and Sage, D. and Delgado-Gonzalo, R.",
TITLE="Advanced Image Processing for Biology, and the Open Bio Image
        Alliance ({OBIA})",
BOOKTITLE="Proceedings of the Twenty-First European Signal Processing
        Conference ({EUSIPCO'13})",
address="Marrakech, Kingdom of Morocco",
month="September 9-13,",
note="paper no.\ 1569744383")

© 2013 EUSIPCO. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from EUSIPCO.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.