Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-08

Kyle P. Quinn

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

Federal Grant PI High Impact

Professor

Also affiliated: Tufts University (2011–2026); Brigham and Women's Hospital (2014); Harvard University (2014); University of Pennsylvania (2006–2011)

36 h-index 174 pubs 4,448 cited

  • Humans
  • Animals
  • Collagen
  • Rats
  • Wound Healing
  • Male
  • Rats, Sprague-Dawley
  • Microscopy, Fluorescence, Multiphoton
  • Extracellular Matrix
  • Oxidation-Reduction
  • Female
  • NAD
  • Algorithms
  • Optical Imaging
  • Mice

Biography and Research Information

OverviewAI-generated summary

Kyle P. Quinn's research focuses on developing and applying advanced optical imaging techniques to investigate biological processes, particularly in the context of metabolism, aging, and wound healing. He has received significant federal funding, including over $726,000 from the NIH to investigate automated wound analysis using deep learning and to characterize aged skin for predicting delayed wound healing. An additional NSF grant of $50,000 supported work on a skin autofluorescence imager for assessing wound healing.

His work utilizes endogenous fluorescence, such as NAD(P)H and FAD, to non-invasively map metabolic changes in tissues. Publications demonstrate applications in areas including precancerous epithelial tissues, stem cell differentiation, and cardiac extracellular matrix. Quinn has also been involved in research exploring how the extracellular matrix influences stem cell therapeutic potential following myocardial infarction and how skin aging impacts wound healing responses.

Quinn holds a high-impact researcher designation, evidenced by an h-index of 36 and over 4,400 citations across 176 publications. He collaborates with several researchers at the University of Arkansas at Fayetteville, including Alan E. Woessner, with whom he shares 16 publications. He also holds a Co-PI role on an NSF REU grant focused on training in biomedical optics and imaging.

Metrics

  • h-index: 36
  • Publications: 174
  • Citations: 4,448

Positions

  • Professor 2025–present
    Tufts University Biomedical Engineering ORCID
  • Professor 2023–present
    University of Arkansas Department of Biomedical Engineering ORCID
  • Assistant Professor 2015–present
    University of Arkansas Fayetteville Biomedical Engineering ORCID
  • Postdoctoral Fellow 2010–2015
    Tufts University Biomedical Engineering ORCID

Selected Publications

  • Force-responsive biomaterials drive tissue repair by harnessing endogenous growth factors (2026)
    Nature Materials DOI OpenAlex
  • NADH FLIM reveals cellular bioenergetics and mitochondrial morphology during Drosophila convergent extension (2026)
    Developmental Biology DOI OpenAlex
  • Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in crosslinking and post-gelation pH (2026)
    Frontiers in Bioengineering and Biotechnology DOI OpenAlex
  • Optical metabolic imaging of tumor recurrence in non-small cell lung cancer (2026)
  • In Vivo , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin (2026)
    Advances in Wound Care 1 citation DOI OpenAlex
  • Metabolic Imaging and Characterization of Multicomponent Spheroid Models in Vitro. (2025)
  • Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling (2025)
    Journal of Biomedical Optics 13 citations DOI OpenAlex
  • Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging (2025)
  • Optical imaging of treatment-naïve human NSCLC reveals changes associated with metastatic recurrence (2024)
    bioRxiv (Cold Spring Harbor Laboratory) DOI OpenAlex
  • 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)
    Acta Biomaterialia 10 citations DOI OpenAlex
  • Identifying and training deep learning neural networks on biomedical-related datasets (2024)
    Briefings in Bioinformatics 9 citations DOI OpenAlex
  • Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy (2024)
  • Quantification of age-related changes in the structure and mechanical function of skin with multiscale imaging (2024)
    GeroScience 11 citations DOI OpenAlex
  • Pre-Incisional and Multiple Intradermal Injection of N-Acetylcysteine Slightly Improves Incisional Wound Healing in an Animal Model (2024)
    International Journal of Molecular Sciences 4 citations DOI OpenAlex
  • CapsNet for medical image segmentation (2024)
    Elsevier eBooks 6 citations DOI OpenAlex

View all publications on OpenAlex →

Federal Grants 4 $1,190,838 total

NIH 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 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

235 Collaborators 77 Institutions 14 Countries

Top Collaborators

View profile →
View profile →
View profile →
View profile →
View profile →

Similar Researchers

Based on overlapping research topics