Kyle P. Quinn Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI High Impact

Assistant Professor

University of Arkansas at Fayetteville

faculty

36 h-index 173 pubs 4,193 cited

Research Areas

Links

ORCID Lab Website Research Group

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OverviewAI-generated summary

Kyle P. Quinn's research focuses on the development and application of advanced optical imaging techniques, particularly label-free multiphoton microscopy, for biomedical applications. His work involves the use of computational modeling and deep learning to analyze biological tissues and monitor physiological processes. Quinn has received federal funding for projects investigating non-invasive wound analysis using deep learning neural networks and for characterizing aged skin to predict delayed wound healing. He also received funding for an NSF I-Corps project focused on a skin autofluorescence imager for wound healing assessment.

His recent publications demonstrate a strong emphasis on imaging collagen microstructure, assessing skin aging and wound healing, and studying cellular metabolic states. Specific projects have involved the three-dimensional quantification of collagen during mechanical loading, improving image segmentation with convolutional neural networks, and examining the neuro-regenerative potential of stem cells in collagen hydrogels. Quinn also investigates label-free multiphoton microscopy for detecting and monitoring conditions such as calcific aortic valve disease and for automating the extraction of wound healing biomarkers from in vivo microscopy data.

Quinn holds a high-impact researcher designation, evidenced by his h-index of 36 and over 4,000 citations. He collaborates with several researchers at the University of Arkansas at Fayetteville, including Alan E. Woessner, Jake D. Jones, Patrick Kuczwara, and Marcos R. Rodriguez, with whom he has multiple shared publications. He leads an active research group and maintains a lab website.

Metrics

h-index: 36
Publications: 173
Citations: 4,193

Selected Publications

A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression (2024) DOI
Identifying and training deep learning neural networks on biomedical-related datasets (2024) DOI
Pre-Incisional and Multiple Intradermal Injection of N-Acetylcysteine Slightly Improves Incisional Wound Healing in an Animal Model (2024) DOI
CapsNet for medical image segmentation (2024) DOI
Mechanical Models of Collagen Networks for Understanding Changes in the Failure Properties of Aging Skin (2024) DOI
Neuro-regenerative behavior of adipose-derived stem cells in aligned collagen I hydrogels (2023) DOI
Neuro-Regenerative Behavior of Adipose-Derived Stem Cells in Aligned Collagen I Hydrogels (2023) DOI
Label-Free Optical Metabolic Imaging in Cells and Tissues (2023) DOI
Special Issue: Honoring the Editorial Accomplishments of Beth Winkelstein and Victor Barocas (2023) DOI
Single shot quantitative polarized light imaging system for rapid planar biaxial testing of soft tissues (2022) DOI
Improved segmentation of collagen second harmonic generation images with a deep learning convolutional neural network (2022) DOI
Quantifying age-related changes in the structure and mechanical function of skin with multiscale imaging (2022) DOI
Optical imaging of metabolic profiles in responder and non-responder human lung tumors (2022) DOI
Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy (2022) DOI
Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in cross-linking and pH (2022) DOI