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05

Advanced Ocular Imaging & AI

Development and validation of non-invasive diagnostic technologies, biomedical imaging and computational approaches.

  • OCT
  • Corneal topography
  • Corneal tomography
  • Aberrometry
  • Multimodal imaging
  • Bio-photonics
  • Image analysis
  • Artificial intelligence
  • Predictive analytics
  • Digital biomarkers
  • Automated clinical measurements

The question

Can multimodal ocular imaging and computational analysis produce digital biomarkers that are accurate, reproducible and clinically actionable?

Why it matters

Imaging generates far more information than clinicians can extract manually. Computational analysis turns that data into decisions.

Our approach

Multimodal image acquisition, automated measurement pipelines, model development and clinical validation against reference standards.

Translational impact

Automated, validated measurements that reduce variability and support earlier detection.

Technologies & methods

  • Ocular Imaging

    Optical coherence tomography

    Cross-sectional imaging of the anterior segment and posterior pole for structural characterisation.

  • Ocular Imaging

    Corneal topography & tomography

    Scheimpflug and reflection-based mapping of corneal geometry, elevation and thickness.

  • Computational Methods

    Quantitative image analysis

    Reproducible measurement pipelines for imaging data, with automated segmentation and metrics.

  • Computational Methods

    Artificial intelligence & predictive models

    Model development, validation and digital biomarker definition on multimodal ocular data.

Projects

    Selected publications

    [PLACEHOLDER] Selected publications for this research area will be listed here from the shared publications database. No references have been invented.