Marcos R. Rodriguez
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Researcher
Also affiliated: Tufts University (2026)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
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
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Force-responsive biomaterials drive tissue repair by harnessing endogenous growth factors (2026)
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Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in crosslinking and post-gelation pH (2026)
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<i>In Vivo</i> , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin (2026)
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Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging (2025)
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Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy (2024)
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Quantifying Age-Related Changes in Skin Microstructure and Function Using In Vivo Multiphoton Microscopy (2023)
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Pre‐glycation impairs gelation of high concentration collagen solutions (2022)
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Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy (2022)
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Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in cross-linking and pH (2022)
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Task #5: Treatment Process for Reusing and Recycling Produced Water (2021)
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Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label‐Free Multiphoton Microscopy Using Convolutional Neural Networks (2021)
Collaboration Network
Top Collaborators
- Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label‐Free Multiphoton Microscopy Using Convolutional Neural Networks
- Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in cross-linking and pH
- Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy
- Quantifying Age-Related Changes in Skin Microstructure and Function Using In Vivo Multiphoton Microscopy
- Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy
Showing 5 of 7 shared publications
- Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label‐Free Multiphoton Microscopy Using Convolutional Neural Networks
- Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy
- Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging
- Quantifying Age-Related Changes in Skin Microstructure and Function Using In Vivo Multiphoton Microscopy
- <i>In Vivo</i> , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin
- Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy
- Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging
- Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy
- Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging
- Task #5: Treatment Process for Reusing and Recycling Produced Water
- Task #5: Treatment Process for Reusing and Recycling Produced Water
- Task #5: Treatment Process for Reusing and Recycling Produced Water
- Task #5: Treatment Process for Reusing and Recycling Produced Water
- Task #5: Treatment Process for Reusing and Recycling Produced Water
- Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy
- Pre‐glycation impairs gelation of high concentration collagen solutions
- Pre‐glycation impairs gelation of high concentration collagen solutions
- Pre‐glycation impairs gelation of high concentration collagen solutions
- Pre‐glycation impairs gelation of high concentration collagen solutions
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