Continuous eye health monitoring is right around the corner.
And what's surprising is how easy it is to use.
Read more below to see our latest developments.
01 / WHY?
Minute by minute eye health tracking will completely change how clinicians treat patients. Clinicians will use our technology to review summary statistics based on large data sets collected during daily life. Our core focus is on glaucoma, the leading cause of irreversible blindness, because it's hard to manage. Regular maintenance of intraocular pressure (IOP) is the current standard of care, and there is no cure for any blindness caused by glaucomatous damage. By tracking intraocular pressure (IOP) continuously throughout the day, ophthalmologists and optometrists will finally have answers to questions like:
Are patients remembering to use daily medications?
Did the eye pressure exceed a preset threshold?
Which treatments are working and at what time of day?
Is the the patient experiencing eye pressure spikes during the day?
Is the surface of the eye indicating any health anomalies?
Irreversible blindness caused by glaucoma
02 / HOW?
Our approach is unique. Our patent-pending technology is the only one of its kind to track eye health and seamlessly integrate into one's lifestyle. Our sensing technology is concealed into attractive eyeglass frames. Data and charging occur wirelessly with minimal effort by the user. And our cloud-based system does even not require the patient to have a smartphone.
03 / WHEN?
Summer 2020 is our target launch date for our research product, which will allow industry and university researchers to capture data that was never thought possible: continuous ocular surface images all day long with no impact to the subject's daily life. In fact, they might forget they are part of a research study! We are aiming for 2022 for the release of our clinical version, which will utilize cloud-based computer processing of the imagery to provide the clinicians with IOP history and trends.
Engineering Schematic of Cure eyeglass frames
Visible evidence for image-based IOP tracking (porcine tissue)
Rickard, M., C. Jones, N. Lazkani, L. Macy, J. Park, J. Key, C. Gipson-Bean, J. Gentry, and M. Saenz, "Scleral strain measurements near the limbus using in vivo imaging", Presented at the Association for Research in Vision and Ophthalmology (ARVO) Imaging Conference 2018, Honolulu, HI, April 2018.
Rickard, M., C. Jones, C. Gipson-Bean, J. Park, E. Sutter, J. Jacobson, and J. LaMotte, "Geometric measurements of natural features at the temporal limbus in support of an image-based, real-time IOP sensing system", Academy 2016 Anaheim, American Academy of Optometry, November 2016.
Rickard, M., C. Jones, C. Gipson-Bean, and J. Park, “Image processing to measure scleral strain near the limbus using digital microscopy in porcine eyes”, Presented at the Association for Research in Vision and Ophthalmology (ARVO) Imaging Conference 2016, Seattle, WA, April 2016.
Rickard, M., C. Jones, J. Cox, J. DeVore, A. Castro, and J. Brannen, “Scleral strain near the limbus using digital microscopy of natural features in porcine eyes”, Invest. Ophthalmol. Vis. Sci.. 2015; 56(7):6138. Presented at the Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), Denver, CO, May 2015. [https://iovs.arvojournals.org/]