Back

3D morphometric analysis of mouse skulls using microcomputed tomography and computer vision

Gulner, B. R.; Navabi, Z. S.; kodandaramaiah, S. B.

2022-10-27 neuroscience
10.1101/2022.10.26.513830 bioRxiv
Show abstract

Morphometric studies have provided crucial insights into the skull anatomy of commonly used wildtype (WT) laboratory mice strains such as the C57BL/6. With the increasing use of transgenic (TG) animals in neuroscience research, it is important to determine whether the results from morphometric studies performed on WT strains can be extended to TG strains derived from these WT strains. We report a new computer vision-based analysis pipeline for surveying mouse skull morphology using microcomputed tomography (CT) scans. We applied this pipeline to study and compare eight cohorts of adult mice from two strains, including both male and female mice at two age points. We found that the overall skull morphology was generally conserved between cohorts, with only 13% of landmark distance differences reaching statistical significance. In addition, we surveyed the dorsal skull bone thickness differences between cohorts. We observed significantly thicker dorsal, parietal, and/or interparietal bones in WT, male, or older mice for 53% of thickness comparisons. This knowledge of dorsal skull bone thickness has potential implications for surgical planning through skull imaging and has applications in automating cranial microsurgeries on mice.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.