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Paul Gignac

Gignac

DiceCT, 3D brain modeling, Functional evolution of neuromorphology

Degree: Biological Science
Broad Expertise/Interests:
  • Neuroanatomical Complexity
  • Encephalization
  • Neurological Evolution of Flight
Equipment/Techniques:
  • DiceCT
  • 3D Digital Model Building
Seeking Collaborators with Skill Sets: Intact or isolated central or peripheral nervous system samples
Research Interests: Biomechanics, contrast-enhanced X-ray imaging techniques as well as the development and evolution of phenotypic complexity of the vertebrate head
Funding in the Last Three Years:
  • NSF DEB
  • NSF DEB
  • NSF EAGER
  • NSF MRI
Publication Highlights:

Best practices for digitally constructing endocranial casts: examples from birds and their dinosaurian relatives

Diffusible iodine‐based contrast‐enhanced computed tomography (diceCT): an emerging tool for rapid, high‐resolution, 3‐D imaging of metazoan soft tissues

Website: https://www.dicect.com/