SIGHT: an immersive Virtual Reality platform for reinforced learning of optics and functional neuroanatomy of vision

Abstract Virtual reality (VR) offers immersive and interactive learning environments that can improve student engagement and 3D visualization. However, its application in medical education is mostly limited to clinical settings and its potential for better understanding complex concepts, or empathy with the patients, remains underexplored. Here, we describe SIGHT (Simulated Immersive Guidance for Human Training), an immersive VR application, designed to teach core concepts in the physics and functional neuroanatomy, or neurophysiology of human vision. Its two integrated learning modules allow first-person experience of normal and pathological conditions: the optics module enables users to manipulate lenses, experience refractive errors such as myopia, presbyopia, and astigmatism and correct them through appropriate lens selection; the neurophysiology module allows learners to navigate the visual pathways from the retina to the visual cortex and to simulate lesions, experiencing the corresponding visual field deficits. User authentication and interactive evaluation steps provide analytical feedback of the experience and learning process. A pilot group of medical students reported high usability, engagement and deeper understanding of the vision-related concepts, showing how the approach of SIGHT can support experiential learning in medical education.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-04-14
DOI
https://doi.org/10.64898/2026.04.13.718109
Primary Topic
Ophthalmology and Visual Health Research
Type
article
Field-Weighted Citation Impact
0.00

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article

SIGHT: an immersive Virtual Reality platform for reinforced learning of optics and functional neuroanatomy of vision

Federica Marchesi, Luca Fornia, Giuliano Zanchetta, Z. Malik et al.
bioRxiv (Cold Spring Harbor Laboratory)
Ophthalmology and Visual Health Research
article

SIGHT: an immersive Virtual Reality platform for reinforced learning of optics and functional neuroanatomy of vision

Federica Marchesi, Luca Fornia, Giuliano Zanchetta, Z. Malik, Davide Scalisi, Josef Grunig
article en

Abstract

Abstract Virtual reality (VR) offers immersive and interactive learning environments that can improve student engagement and 3D visualization. However, its application in medical education is mostly limited to clinical settings and its potential for better understanding complex concepts, or empathy with the patients, remains underexplored. Here, we describe SIGHT (Simulated Immersive Guidance for Human Training), an immersive VR application, designed to teach core concepts in the physics and functional neuroanatomy, or neurophysiology of human vision. Its two integrated learning modules allow first-person experience of normal and pathological conditions: the optics module enables users to manipulate lenses, experience refractive errors such as myopia, presbyopia, and astigmatism and correct them through appropriate lens selection; the neurophysiology module allows learners to navigate the visual pathways from the retina to the visual cortex and to simulate lesions, experiencing the corresponding visual field deficits. User authentication and interactive evaluation steps provide analytical feedback of the experience and learning process. A pilot group of medical students reported high usability, engagement and deeper understanding of the vision-related concepts, showing how the approach of SIGHT can support experiential learning in medical education.

bioRxiv (Cold Spring Harbor Laboratory)
University of Milan (IT), Consorzio Milano Ricerche (IT)
Associazione Italiana per la Ricerca sul Cancro, Fondazione Romeo ed Enrica Invernizzi
Quality Education
Openalex Percentile: Top 11%
Ophthalmology and Visual Health Research
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SIGHT: an immersive Virtual Reality platform for reinforced learning of optics and functional neuroanatomy of vision — Federica Marchesi, Luca Fornia, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS