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The study team will conduct the first in-human pilot studies using 4D MIOCT for imaging in the operating room. Building on the earlier integration and wet-lab validations, the researchers will assess the system's ease of use, safety, and visualization of intended structures during various anterior and posterior segment ophthalmic procedures.
The goal of this clinical trial is to compare the onset and duration of numbness of the surface of the eye following the administration of numbing drops, called proparacaine, using either a standard eye drop bottle or a "Nanodropper" adaptor. The Nanodropper is designed to administer smaller-sized drops, or microdrops. Participants will: 1. Complete a baseline eye exam. 2. Receive a numbing drop using a standard dropper in one eye and the Nanodropper in the other eye. 3. Have their eyes tested for numbness at specific time points (30 seconds, 1, 2, 5, and 10 minutes after getting the drops). 4. Tell the researchers if they feel pain during the eye sensation tests. 5. Complete a survey about their experience with the eyedrops and testing procedure. This study could help us find a way to use less medication while still effectively administering eye medications, potentially saving money and reducing medical waste.
The goal is to develop a nationwide registry to track longitudinal clinical outcomes of and store imaging data related to numerous corneal conditions. There are two main objectives including the establishment of the first nationwide corneal transplant registry in the United States to include information related to the donor tissue, recipient, surgical procedure, and long-term clinical outcomes. Ultimately, this prospective data collection will allow us to determine prognostic factors for successful corneal transplantation and create an algorithm to guide clinical practice based on real world outcomes. The second objective is to collect and create a database of historical, de-identified optical coherence topography (OCT) and corneal topography images to ultimately develop artificial intelligence (AI) based diagnostic and prognostic algorithms for corneal disease and surgery.
The objective of this study is to gather Optical Coherence Tomography (OCT) data on normal and diseased eyes