Marcos R. Rodriguez Data-verified

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

Researcher

University of Arkansas

Last publication 2026 Last refreshed 2026-04-04

faculty

2 h-index 11 pubs 19 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Marcos R. Rodriguez's research focuses on the application of advanced imaging techniques and artificial intelligence to study biological processes, particularly in skin wound healing and aging. He investigates the metabolic and structural changes that occur in skin due to aging and diabetes, utilizing label-free multiphoton microscopy. His work includes developing automated methods, such as convolutional neural networks, for extracting biomarkers from microscopy images to quantify wound healing dynamics. Rodriguez also explores the properties of biomaterials, including the gelation of collagen solutions and the autofluorescence of gelatin-methacrylate hydrogels, relating these to cross-linking and pH. He has published 10 works, with an h-index of 2 and 17 citations. His collaborations include Kyle P. Quinn, Jake D. Jones, Alan E. Woessner, and Rodrigo Misle Rodríguez, all at the University of Arkansas at Fayetteville.

Metrics

h-index: 2
Publications: 11
Citations: 19

Selected Publications

<i>In Vivo</i> , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin (2026)

DOI OpenAlex
Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging (2025)

DOI OpenAlex
Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy (2024)

DOI OpenAlex
Quantifying Age-Related Changes in Skin Microstructure and Function Using In Vivo Multiphoton Microscopy (2023)

DOI OpenAlex
Pre‐glycation impairs gelation of high concentration collagen solutions (2022)

5 citations DOI OpenAlex
Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy (2022)

DOI OpenAlex
Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in cross-linking and pH (2022)

1 citation DOI OpenAlex
Task #5: Treatment Process for Reusing and Recycling Produced Water (2021)

DOI OpenAlex
Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label‐Free Multiphoton Microscopy Using Convolutional Neural Networks (2021)

10 citations DOI OpenAlex