Kyle Patrick Quinn, PhD

Research Program: Cancer Biology Faculty Rank: Associate Professor Campus: University of Arkansas (Fayetteville) College: College of Engineering Department: Biomedical Engineering

Cancer Research Interest

• Disease Site Focus: No Specific Disease Site
• Research Focus Area: Detection, Informatics, Diagnosis/ Prognosis, Carcinogenesis, Treatment, Health Disparities
• Type of Research: Basic, Clinical
• Research Keywords: cancer metabolism, dermatology, optical imaging
• Research Interest Statement: My overall research interests are in developing and utilizing non-invasive quantitative optical methods to characterize the spatiotemporal patterns of disease progression and tissue repair processes. My research lab is currently utilizing label-free multiphoton microscopy to obtain high-resolution 3D images of cell metabolism and extracellular matrix organization. We also develop and implement a variety of advanced image analysis techniques to characterize the organization of the extracellular matrix, inter-cellular arrangement and morphology, as well as subcellular organelle distributions within cells. We are interested in applying these imaging and analysis techniques to various collaborative cancer research projects.

Contact Information

• Email Address: kpquinn@uark.edu

Recent Publications

• Georgakoudi I, Skala MC, Quinn KP, [et al.]. Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling. Journal of biomedical optics. 2025 30(Suppl 2):S23901. PMID: 41230436.
• Lewis M, David G, Jacobs D, [et al., including Quinn KP]. Neuro-regenerative behavior of adipose-derived stem cells in aligned collagen I hydrogels. Materials today. Bio. 2023 22:100762. PMID: 37600354. PMCID: PMC10433000.
• Georgakoudi I, Quinn KP. Label-Free Optical Metabolic Imaging in Cells and Tissues. Annual review of biomedical engineering. 2023 25:413-443. PMID: 37104650. PMCID: PMC10733979.
• Sander EA, Quinn KP. Special Issue: Honoring the Editorial Accomplishments of Beth Winkelstein and Victor Barocas. Journal of biomechanical engineering. 2023 145(3). PMID: 36661079.
• Woessner AE, Quinn KP. Improved segmentation of collagen second harmonic generation images with a deep learning convolutional neural network. Journal of biophotonics. 2022 15(12):e202200191. PMID: 36087040. PMCID: PMC9789175.
• Witt N, Woessner A, Quinn K, Sander E. Multiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading. Journal of biomechanical engineering. 2022 144(4). PMID: 34729595. PMCID: PMC8719047.
• Blair MJ, Quinn KP. Single shot quantitative polarized light imaging system for rapid planar biaxial testing of soft tissues. Frontiers in bioengineering and biotechnology. 2022 10:1010307. PMID: 36213065. PMCID: PMC9532628.
• Paskal W, Kopka M, Stachura A, [et al., including Quinn KP]. Single Dose of N-Acetylcysteine in Local Anesthesia Increases Expression of HIF1α, MAPK1, TGFβ1 and Growth Factors in Rat Wound Healing. International journal of molecular sciences. 2021 22(16). PMID: 34445365. PMCID: PMC8395485.
• Paskal W, Paskal AM, Pietruski P, [et al., including Quinn KP]. N-Acetylcysteine Added to Local Anesthesia Reduces Scar Area and Width in Early Wound Healing-An Animal Model Study. International journal of molecular sciences. 2021 22(14). PMID: 34299175. PMCID: PMC8307704.