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This content will become publicly available on March 12, 2026

Title: Quantifying occlusal wear in extant and fossil primates: A novel approach using the virtual goniometer for wear and dietary analysis
Advancements in 3D scanning and modeling have transformed dental and dietary analyses, yet studies often focus on whole-crown, unworn teeth, limiting sample sizes and scope due to the challenges of analyzing worn teeth. Here we explore a novel quantitative method using a virtual goniometer to measure occlusal wear angles in over 150 worn mandibular second molars from extant primates, including frugivores, folivores, and hard-object consumers. For the first time, we apply this method to fossil primates: Ekembo, Dendropithecus, and Limnopithecus. Using the Hecate software package, we align and subdivide molars into five patches corre- sponding to the cusps. We segment each patch using the virtual goniometer. This segments the occlusal surface from the corresponding buccal, lingual, mesial, and distal surfaces, providing a normal vector corresponding to the plane of best fit for each segment. We then calculate three key angles that describe the plane orientation. Results suggest the inclination measurement from the virtual goniometer is more robust than the average inclination of points in the occlusal surface. Additionally, we find that, among the fossil sample, wear across cusps does not align with any of the tested extant dietary categories. Paleontology is a versatile field of study, applying methods used across disciplines. Our novel approach provides yet another example in which paleontology makes use of versatile computer application by extending the virtual goniometer’s utility beyond archaeological inquiries to primate dental analysis. Additionally, this application offers valuable insight into evolutionary traits associated with dietary behaviors through the inclusion of extant and fossil primates.  more » « less
Award ID(s):
2235734
PAR ID:
10584828
Author(s) / Creator(s):
;
Editor(s):
Turner, T
Publisher / Repository:
American Journal of Biological Anthropology
Date Published:
Volume:
186
ISSN:
2692-7691
Page Range / eLocation ID:
94
Format(s):
Medium: X
Location:
Baltimore, MD
Sponsoring Org:
National Science Foundation
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