Kyle P. Quinn Data-verified

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

Federal Grant PI High Impact

Assistant Professor

Last publication 2026 Last refreshed 2026-05-22

faculty

36 h-index 175 pubs 4,314 cited

Biography and Research Information

OverviewAI-generated summary

Kyle P. Quinn's research focuses on developing and applying label-free optical imaging techniques, particularly multiphoton microscopy, for the study of biological tissues and cellular processes. His work investigates the microstructural and metabolic changes associated with aging, wound healing, and disease. Quinn has received federal funding to support his investigations into non-invasive automated wound analysis using deep learning neural networks, as well as the in vivo label-free characterization of aged skin to predict delayed wound healing. He also received funding for a project focused on a skin autofluorescence imager for rapidly assessing skin wound healing.

His publications demonstrate a strong emphasis on quantifying collagen microstructure, utilizing advanced imaging methods like second harmonic generation and fluorescence microscopy. Quinn employs computational approaches, including deep learning convolutional neural networks, to improve image segmentation and automate the extraction of relevant biomarkers from microscopy data. His research spans multiple biological contexts, including the study of calcific aortic valve disease and the neuro-regenerative potential of stem cells within collagen hydrogels.

Quinn holds a strong publication record, with 174 total publications and a h-index of 36, accumulating over 4,259 citations. He is recognized as a high-impact researcher and has served as PI on four federal grants totaling over $1.19 million. He collaborates with researchers at the University of Arkansas at Fayetteville, including Alan E. Woessner, Jake D. Jones, Jin-Woo Kim, and Patrick Kuczwara, with whom he has co-authored multiple publications.

Metrics

  • h-index: 36
  • Publications: 175
  • Citations: 4,314

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

View all publications on OpenAlex →

Federal Grants 4 $1,190,838 total

NIH/National Institute of Biomedical Imaging and Bioengineering Contact PI Aug 2021 - Apr 2026

Non-invasive automated wound analysis via deep learning neural networks

National Institute of Biomedical Imaging and Bioengineering $379,688 R01
NIH/National Institute on Aging Contact PI Sep 2017 - May 2023

In vivo label-free characterization of aged skin to predict delayed wound healing

National Institute on Aging $346,724 R01
NSF Co-PI May 2023 - Apr 2027

REU Site: Training in Emerging Biomedical Optics and Imaging Approaches

EWFD-Eng Workforce Development $414,426

Collaboration Network

102 Collaborators 39 Institutions 6 Countries

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