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Bioimage informatics is a multidisciplinary sub-field of bioinformatics and computational biology that involves the development and use of computational techniques to analyze bioimages, especially cellular and molecular images, on a large scale fashion, with the goal of mining useful knowledge out of complicated and heterogeneous images and related metadata.

The field of bioimage informatics is somewhat related to medical imaging informatics, in so much as some of the advances in that field have found their way to the technology of analyzing bioimages. However, "it is very challenging to directly apply existing medical image analysis methods to ... bioimage informatics problems." Some of the challenges bioimages pose to researchers include the difficulty of analyzing at the cellular and molecular scales, the large size of the files, and the amount of time required to manually analyze the files. These challenges require automatic high-throughput analysis techniques, novel algorithms, and advanced systems to deal with the tasks of processing, storing, visualizing, and mining bioimages. (Full article...)

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