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Use of iris recognition camera technology for the quantification of corneal opacification in mucopolysaccharidoses
  1. Tariq Mehmood Aslam1,2,
  2. Savana Shakir2,
  3. James Wong2,
  4. Leon Au1,
  5. Jane Ashworth1,2
  1. 1Manchester Royal Eye Hospital, Manchester, UK
  2. 2The University of Manchester, Manchester Academic Health Sciences Centre, Oxford Road, Manchester, UK
  1. Correspondence to Dr Tariq Mehmood Aslam, Manchester Royal Eye Hospital, Oxford Road, Manchester M13 9WL, UK; vtariq.aslam{at}cmft.nhs.uk

Abstract

Mucopolysaccharidoses (MPS) can cause corneal opacification that is currently difficult to objectively quantify. With newer treatments for MPS comes an increased need for a more objective, valid and reliable index of disease severity for clinical and research use. Clinical evaluation by slit lamp is very subjective and techniques based on colour photography are difficult to standardise. In this article the authors present evidence for the utility of dedicated image analysis algorithms applied to images obtained by a highly sophisticated iris recognition camera that is small, manoeuvrable and adapted to achieve rapid, reliable and standardised objective imaging in a wide variety of patients while minimising artefactual interference in image quality.

  • Macula
  • neovascularisation
  • imaging
  • field of vision
  • psychophysics
  • treatment medical
  • cornea
  • diagnostic tests/investigation
  • contact lens
  • treatment lasers
  • optics and refraction
  • eye (tissue) banking

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Footnotes

  • Funding This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None.

  • Ethics approval Ethics approval was provided by NRES UK.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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