5: Semi-automatic analysis of insect micro-CT data using the open source web application Biomedisa

Despite the advances in X-ray imaging, analyzing insect micro-CT data is still often tedious and time-consuming. Especially the manual segmentation of large and complex datasets remains a major bottleneck, particularly for large comparative studies. Automatic and semi-automatic segmentation software may drastically speed up the process, but many of these tools require substantial computational expertise. Therefore, many entomologists are still putting a lot of time and manual effort into image segmentation.

Biomedisa (“Biomedical Image Segmentation App”) is a new open-source online platform for semi-automatic segmentation of large volumetric images. The software is very easy-to-use and can be employed in combination with most common segmentation software.

In this talk, we demonstrate how to employ Biomedisa for the semi-automatic segmentation of insect micro-CT data and highlight some recent results, including fossil insects in amber and apatite as well as a very peculiar wasp from Australia.
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