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
BOOKTITLE="Proceedings of the Twenty-First European Signal Processing
address="Marrakech, Kingdom of Morocco",
note="paper no.\ 1569744383")
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