Collecting eye data
Scans across every modality, clinical and clinic records, and the literature — gathered in a structure that survives being used by more than one person.
Optics and Vision Interest Group
Translating vision science into advanced eye care
What Treeye is
Eye care is split across professions that rarely share a table. Optometrists and ophthalmologists see the same patients from different angles; researchers publish work that takes years to reach the clinic; industry builds instruments whose data never makes it back to the people asking the questions.
Treeye is a small, cross-disciplinary group of clinicians, scientists and engineers who analyse clinical data through the lens of rigorous scientific knowledge, working to improve clinical performance in ophthalmology and physiological optics. Our mission is to foster evidence-based clinical practice grounded in real-world data.
What we work on
Each one is only useful because of the others: data that nobody models is an archive, and a model nobody can act on is a paper.
Scans across every modality, clinical and clinic records, and the literature — gathered in a structure that survives being used by more than one person.
Turning that raw material into something you can reason with: processing pipelines, statistics, and models that are explicit about their own uncertainty.
The part that reaches a patient — practical tools for prescriptions, lens selection and surgical planning, built to be checked rather than trusted blindly.
Tools
We would rather publish something small that works than announce a platform. One tool is live and free to use; the second is built but not released, and there is a demo of it.
Implantable Collamer Lens sizing, built by auditing clinical data — free to use, open source, and the seed the rest of this grew from.
Reveals detail in the ciliary sulcus that shadowing and reflection from the iris pigment epithelium normally hide — built and validated on real AS-OCT images.
The group
Eye Scientist
Eye Scientist
Eye Scientist
Software Engineer
Get involved
Clinicians, researchers, students and industry alike — whether you want to use the tools, contribute data, or argue with the modelling. Tell us who you are and what you work on.