Melbourne Rapid Fields Online Perimetry by GLANCE Optical Pty Ltd. Price A$POA Supplier/s GLANCE Optical Pty Ltd. Supplier Code IAPB ( MRF ) Country of Origin Australia Request a quote Product Description Melbourne Rapid Fields (MRF) is a validated innovative AI-enabled online perimetry software, proven through comparison with gold standard perimetry in over 14 internationally peer-reviewed publications. Developed with the support of The University of Melbourne and The Royal Victorian Eye and Ear Hospital, MRF was designed to make advanced eye care accessible and affordable. MRF offers a full suite of visual field tests, including 24-2, 24-2 Rapid, 30-2, 10-2, Binocular Esterman equivalent field tests as well as visual acuity tests. The software operates on any computer with a digital screen—laptop, desktop, or tablet—and can function offline, ensuring reliability even in remote or resource-limited areas. With its AI-driven control of testing environments, remote telehealth feature and rapid referral features, MRF supports early detection and management of glaucoma and other visual impairments, enabling equitable access to high-quality eye care worldwide. MRF is has CE Mark, UKCA, TGA, MedSafe and CDSCO registration. Product Features Device-Independent and Portable - Enable visual field testing using any digital computer with web-browser. Unique Offline mode makes MRF suitable in locations with limited internet connectivity. Cutting-Edge AI Technology - Computer vision algorithm to analyse webcam to ensure optimal viewing distance and testing conditions are maintained during testing. Cost-Effective and Scalable Solution - Reduce operational costs with an affordable, scalable solution designed for clinics of all sizes, without capital cost of machine or maintenance costs. Validated Customizable Testing Protocols - Full set of standard visual field testing protocols (24-2, 10-2, 30-2, binocular test) validated against clinical gold standards. Data-Driven Insights - Offer doctors clear, actionable insights into visual health of patients through intuitive data visualization and trend analysis. Share: