Marcos R. Rodriguez Source Confirmed

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

Researcher

University of Arkansas at Fayetteville

faculty

2 h-index 10 pubs 17 cited

Research Areas

Medical Imaging Techniques and Applications Advanced Neural Network Applications Dermatology and Skin Diseases Metabolism and Genetic Disorders Health and Medical Research Impacts

Links

ORCID

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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 the context of skin aging and wound healing. He investigates how label-free multiphoton microscopy can be used to quantify metabolic and structural changes associated with aging and conditions like diabetes in skin tissue. His work also involves developing automated methods, such as using convolutional neural networks, to extract relevant biomarkers from microscopy data, aiming to better understand the dynamics of skin wound healing. Rodriguez has collaborated with researchers Kyle P. Quinn, Jake D. Jones, Alan E. Woessner, and Rodrigo Misle Rodríguez at the University of Arkansas at Fayetteville on multiple publications. His scholarship includes 10 publications, a citation count of 17, and an h-index of 2.

Metrics

  • h-index: 2
  • Publications: 10
  • Citations: 17

Selected Publications

  • <i>In Vivo</i> , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin (2026) DOI
  • Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging (2025) DOI
  • Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy (2024) DOI
  • Quantifying Age-Related Changes in Skin Microstructure and Function Using In Vivo Multiphoton Microscopy (2023) DOI
  • Pre‐glycation impairs gelation of high concentration collagen solutions (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
  • Task #5: Treatment Process for Reusing and Recycling Produced Water (2021) DOI
  • Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label‐Free Multiphoton Microscopy Using Convolutional Neural Networks (2021) DOI

Collaborators

Researchers in the database who share publications

Kyle P. Quinn University of Arkansas at Fayetteville 3 shared publications Jake D. Jones University of Arkansas at Fayetteville 3 shared publications Alan E. Woessner University of Arkansas at Fayetteville 2 shared publications Rodrigo Misle Rodríguez University of Arkansas at Fayetteville 2 shared publications Jacob Rodden University of Arkansas at Fayetteville 2 shared publications Andrew McLellan University of Arkansas at Fayetteville 2 shared publications Ragan Edison University of Arkansas at Fayetteville 1 shared publication Michael J. Blair University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

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Amir Ghazanfari Arkansas Tech University
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