Marcos R. Rodriguez
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Also affiliated: Tufts University (2026)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Marcos R. Rodriguez studies advanced methods for analyzing biological processes, particularly focusing on wound healing and skin aging. His research utilizes label-free multiphoton microscopy, combined with computational approaches like convolutional neural networks, to automate the extraction of relevant biomarkers. This work aims to provide sensitive detection of metabolic and structural changes in aged skin and to monitor wound healing progression. Rodriguez also investigates the properties of biomaterials, such as collagen and gelatin-methacrylate hydrogels, examining factors like glycation, cross-linking, and pH sensitivity. His work has been supported by collaborations with researchers at the University of Arkansas at Fayetteville, including Kyle P. Quinn and Jake D. Jones.
Metrics
- h-index: 2
- Publications: 12
- 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
- <i>In Vivo</i> , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin
- 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
Showing 5 of 9 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 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
- Force-responsive biomaterials drive tissue repair by harnessing endogenous growth factors
- <i>In Vivo</i> , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin
- 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
- 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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