Dr. Starbuck is a biological anthropologist and an Assistant Professor and Graduate Faculty member in the Department of Anthropology at the University of Central Florida. Dr. Starbuck uses 2D/3D imaging and statistical/morphometric approaches to investigate variation, anatomy, growth, health, and development, particularly of the face, skull, and brain. Samples studied may be influenced by genetic, environmental, or unknown teratogenic factors, which can disrupt or alter craniofacial morphogenesis of soft and hard tissues during development and growth. Thus, research topics investigated in the Starbuck lab often reside at the intersection of the anthropological, biological, medical, and clinical disciplines to assess human samples and animal models of human conditions. Dr. Starbuck frequently collaborates with other anthropologists and individuals from various disciplines including, but not limited to, dental professionals, medical/clinical practitioners, geneticists, and biologists. Funding and collaborations permitting, Dr. Starbuck is currently developing projects to assess the influence of Epigallocatechin gallate (EGCG) supplements on facial anatomy of children with Down syndrome, human brain morphology variation associated with trisomy 21, differences in surgical outcome of human children born with craniosynostosis, genetically induced hydrocephaly and a potential treatment in a rat model.
How Students Can Get Involved
Undergraduate and graduate students interested in conducting morphometric research in the Starbuck lab should review Dr. Starbuck’s Biography (including Curriculum Vitae), Faculty Accepting Students page, and contact him directly if interested (email@example.com).
Dr. Starbuck’s Image Analysis and Morphometrics Lab is located at the Orlando Tech Center Building 600, Room 269. The Starbuck lab occupies approximately 575 sq. ft. and is equipped with high-powered computers, three-dimensional imaging modalities (3dMD and HDI scanner), and various types of software for image visualization, manipulation, qualitative and quantitative data collection, and statistical analysis including: Amira, 3dMD Patient, 3dMD Vultus, GeoMagic, SPSS, Minitab, G*Power, GIMP, MorphoJ, and Euclidean Distance Matrix Analysis software (EDMAware). Lab equipment and specialized visualization software are designed to handle the processing and memory needs of numerous types of images including: micro-computed tomography images (µCT; ultra-high resolution), computed tomography (CT), cone beam computed tomography (CBCT), surface images (3dMD, obj files, etc.), and magnetic resonance images (MRI). The computers and associated software can handle high resolution and ultra-high resolution images, including standard medical grade imaging and imaging for small mammal models.