Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Marcos R. Rodriguez

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

Also affiliated: Tufts University (2026)

Faculty Researcher

2 h-index 13 pubs 20 cited

  • Microscopy
  • Neural Networks, Computer
  • Ribose
  • Glycation End Products, Advanced
  • Animals
  • Image Processing, Computer-Assisted
  • Wound Healing
  • Biomarkers
  • Mice
  • Collagen
  • Glycosylation
  • Hydrogels

Biography and Research Information

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 wound healing and aging. He utilizes label-free multiphoton microscopy to capture high-resolution images of biological tissues <i>in vivo</i>, enabling the non-invasive observation of cellular and molecular changes. His work has involved developing automated methods, including convolutional neural networks, to extract quantitative biomarkers from these microscopy images. These biomarkers are then used to understand complex biological phenomena such as the dynamics of skin wound healing, the metabolic and structural alterations associated with skin aging, and the combined effects of aging and diabetes on skin health. Rodriguez has also investigated the properties of biomaterials, such as gelatin-methacrylate hydrogels, examining factors like cross-linking and pH sensitivity through autofluorescence lifetime measurements. His research is supported by collaborations with other faculty members at the University of Arkansas at Fayetteville, including Kyle P. Quinn and Jake D. Jones.

Metrics

  • h-index: 2
  • Publications: 13
  • Citations: 20

Selected Publications

  • Force-responsive biomaterials drive tissue repair by harnessing endogenous growth factors (2026)
    Nature Materials 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
  • <i>In Vivo</i> , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin (2026)
    Advances in Wound Care 1 citation DOI OpenAlex
  • Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging (2025)
  • Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy (2024)
  • Quantifying Age-Related Changes in Skin Microstructure and Function Using In Vivo Multiphoton Microscopy (2023)
  • Pre‐glycation impairs gelation of high concentration collagen solutions (2022)
    Journal of Biomedical Materials Research Part A 6 citations DOI OpenAlex
  • 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
  • Task #5: Treatment Process for Reusing and Recycling Produced Water (2021)
  • Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label‐Free Multiphoton Microscopy Using Convolutional Neural Networks (2021)
    Lasers in Surgery and Medicine 11 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

21 Collaborators 8 Institutions 1 Country

Top Collaborators

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