Papers

5

Total Citations

53

H-Index

4

About

Paul A. Dayton is a leading figure in preclinical ultrasound imaging, whose work has fundamentally advanced how researchers visualize disease in small animal models. His research focuses on developing high-resolution, noninvasive imaging platforms that bridge the gap between benchtop biology and clinical translation. Dayton’s major contributions include pioneering a widefield 3D ultrasound platform for rodents, which enables longitudinal studies of disease progression with unprecedented anatomical and functional detail. He has also developed robotic shear wave elastography systems for noninvasive staging of liver fibrosis in murine models, a tool with direct relevance to drug development. His validation of combined ultrasound and bioluminescence imaging against MRI in orthotopic pancreatic tumors has established a new standard for monitoring deep-tissue cancers. With over 50 citations across his most-cited works, Dayton’s impact is evident in the growing adoption of his methods for studying polycystic kidney disease and transcranial brain imaging. Notably, his recent work on robotic registered compounding and nonrigid deformation correction has pushed the boundaries of super-resolution imaging through the skull, opening new avenues for neuroscience research. Dayton’s innovations continue to empower preclinical researchers with accessible, high-fidelity imaging tools.

Research Focus

Key Achievements

4
H-Index
5
Papers
53
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A new preclinical ultrasound platform for widefield 3D imaging of rodents
18 citations · 2018
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: University of North Carolina at Chapel Hill, North Carolina State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago