Natanya
Kharat

Papers

Sponsor: Sara Thomasy, D.V.M.,Ph.D. VM: Surg/Rad Science Existing automated retinal layer segmentation programs have limited accuracy when applied to non-human primate (NHP) optical coherence tomography (OCT) images and often rely on proprietary export formats that restrict downstream analysis. We evaluated the performance of a semi-automated, open-source workflow for retinal layer measurement in NHPs by comparing it with manual measurements (ImageJ). Measurements were obtained at predefined parafoveal nasal, temporal, and central foveal locations on a single macular B-scan from Heidelberg Spectralis RAW OCT images. Automated segmentation was initially performed using the Heidelberg Spectralis Eye Explorer software and the boundaries of each layer were reviewed and manually corrected when needed. The corrected RAW files were then exported, and retinal layer thickness measurements were extracted using the open-source "eyepy" Python package. A total of 86 OCT files were analyzed from right and left eyes of 43 normal primates. Agreement between manual and semi- automated measurements was assessed using the intraclass correlation coefficient (ICC). The overall single-measure, two-way ICC demonstrated good reliability, with 95% confidence interval population values ranging from 0.797 to 0.83. This workflow demonstrates that integrating eyepy into retinal measurement analysis can potentially reduce manual measurement time and minimize inter-grader manual measurement variability in NHP OCT studies. Art and Identity: A Creative Intervention for Student Belonging

Sponsor: Sara Thomasy, D.V.M.,Ph.D. VM: Surg/Rad Science Existing automated retinal layer segmentation programs have limited accuracy when applied to non-human primate (NHP) optical coherence tomography (OCT) images and often rely on proprietary export formats that restrict downstream analysis. We evaluated the performance of a semi-automated, open-source workflow for retinal layer measurement in NHPs by comparing it with manual measurements (ImageJ). Measurements were obtained at predefined parafoveal nasal, temporal, and central foveal locations on a single macular B-scan from Heidelberg Spectralis RAW OCT images. Automated segmentation was initially performed using the Heidelberg Spectralis Eye Explorer software and the boundaries of each layer were reviewed and manually corrected when needed. The corrected RAW files were then exported, and retinal layer thickness measurements were extracted using the open-source "eyepy" Python package. A total of 86 OCT files were analyzed from right and left eyes of 43 normal primates. Agreement between manual and semi- automated measurements was assessed using the intraclass correlation coefficient (ICC). The overall single-measure, two-way ICC demonstrated good reliability, with 95% confidence interval population values ranging from 0.797 to 0.83. This workflow demonstrates that integrating eyepy into retinal measurement analysis can potentially reduce manual measurement time and minimize inter-grader manual measurement variability in NHP OCT studies. Art and Identity: A Creative Intervention for Student Belonging

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Natanya Kharat

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Loneliness and lack of belonging are crucial factors that significantly impact college students' social and emotional well- being. Prior research has documented how arts-based social interventions promote belonging among college students, allowing for greater self-expression, emotional intimacy, and mutual understanding. Additional work has found that a stronger sense of social identity and emotional connection increase wellness and satisfaction among undergraduate students. However, researchers know less about creative interventions that specifically emphasize student identity. Using a participatory action research framework, we will design, implement, and assess how a creative, identity-centered social intervention influences connectedness, belonging, and well-being among UC Davis undergraduates. The intervention comprises a collaborative art collage project, interactive "speed-friending" questions, and an educational presentation. We will collect quantitative and qualitative data to assess our variables of interest before and after the intervention. Ultimately, we aim to implement and evaluate a successful intervention to improve college students' social and mental well-being. Whole Grain versus Processed Maize on Muscle Protein Synthesis Using a Novel In Vitro Method Darian Khattak

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UC Davis / Psychology / 2026

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Natanya Kharat