MiTiSegmenter: Software for high throughput segmentation and meshing of microCT data in microtiter plate arrays

Lab-based microCT is a powerful means of visualising the internal structure of physical specimens deployed across the physical sciences, engineering and the arts. As its popularity has grown, demand for bulk digitisation of multiple samples within a single scan has increased. High throughput workflows can increase sample sizes and reduce scan time, yet downstream segmentation and meshing remain a bottleneck. We present MiTiSegmenter as a new tool for the bulk archiving of valuable zooarchaeological and palaeontological remains. We foresee MiTiSegmenter • We present MiTiSegmenter, a software package for semi-automated image processing and segmentation of array-based batch microCT data. • Implemented in Python, MiTiSegmenter expedites cropping, meshing and exporting samples within stacked microtiter plates, facilitating the rapid digitisation of hundreds-thousands of samples per scan. • We illustrate MiTiSegmenter's capabilities when applied to bulk archiving of valuable zooarchaeological and palaeontological remains.