Module 1: AI-Centric Ophthalmic Imaging & Engineering for Discovery

Director: Michaël J.A. Girard, PhD; Co-Director: Andrew Feola, PhD

The Atlanta Vision Research Community has advanced substantially through the use of state of the art imaging, engineering, and artificial intelligence approaches in both animal and human vision research. These technologies enable visualization of ocular structures at cellular and microvascular resolution and support the study of the eye as a dynamic biomechanical system. As imaging and engineering data have increased in scale and complexity, the need for centralized, well structured, and accessible data infrastructure has become essential to support scientific rigor, reproducibility, and collaboration.

Module 1 serves as a shared, service oriented platform that provides investigators with access to advanced ophthalmic imaging, biomechanical testing, data management, and computational resources. By centralizing imaging data, supporting standardized workflows, and providing access to artificial intelligence and biostatistical expertise, Module 1 lowers barriers to entry, fosters collaboration between clinicians and scientists, and accelerates discovery across preclinical and translational vision research within the AVRC.