Center for Bio-Image Informatics

Engineering, Biology and Computer Science, working together.

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Image Analysis - Retina

Image Analysis Research

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The Image Analysis Group is concerned with advanced analysis of biological imagery. The main thrust of research is to develop novel techniques for automatically extracting high-level information from the full range of images generated by the biologists. Current research is focused on two main areas of biological research: the effects of retinal detachment and microtubule dynamics. The retina group is working on algorithms for automated cell counting, layer segmentation, texture analysis, and a host of other quantifiers. The microtubule group is working on techniques for tracking microtubules as well as analyzing microtubule dynamics.

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Benchmark For Evaluating Biological Image Analysis Tools

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Biological images are critical components for a detailed understanding of the structure and functioning of cells and proteins. Image processing and analysis tools increasingly play a significant role in better harvesting this vast amount of data, most of which is currently analyzed manually and qualitatively. A number of image analysis tools have been proposed to automatically extract the image information. As the studies relying on image analysis tools have become widespread, the validation of these methods, in particular, segmentation methods, has become more critical. There have been very few efforts at creating benchmark datasets in the context of subcellular, cell and tissue imaging...

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