• AI-based Digital Staining

    We have developed AI-based segmentation technologies to classify all tissue structures of the optic nerve head.

  • OCT Image Compensation

    We have developed methods to drastically enhance the visibility of deep optic nerve head tissues in optical coherence tomography images.

  • Gaze-induced ONH deformations

    We have confirmed that eye movements significantly deform the ONH tissues using OCT imaging.

  • Gaze-induced ONH deformations

    We have confirmed that eye movements significantly deform the ONH tissues using OCT imaging and finite element modeling.

  • In Vivo 3D Deformation Mapping

    We developed technologies to map the 3D strains of the optic nerve head tissues in vivo.

  • Scleral and Laminar Microstructure

    We have developed optical techniques to quantitatively map collagen fiber orientation in ocular tissues.

  • Scleral Biomechanics

    We have developed state-of-the-art computational and experimental techniques to characterise the biomechanics of the sclera in health and disease.

Artificial Intelligence

Our lab is developing artificial intelligence (AI) technologies for the understanding, diagnosis, and prognosis of ophthalmic pathologies (e.g. glaucoma, myopia, and papilledema). We are leveraging on biomedical imaging such optical coherence tomography (OCT) and MRI.

Ocular Biomechanics

Ocular biomechanics is involved in almost all major ophthalmic disorders such as optic nerve head neuropathies, angle closure, ametropia, presbyopia, cataract, corneal pathologies, and retinal detachment. Our lab is currently developing clinical engineering tools for the diagnosis and treatment of such pathologies.

Ophthalmic Devices

Our lab is currently translating several medical devices including AI software (to better manage optic neuropathies) and physical devices (e.g. pupil expander for improved cataract surgery).