Colour Vision & Retinal Imaging Lab

We apply an interdisciplinary approach to studying vision development and how it changes with age. This includes normal variation as well as inherited and age-related changes. We combine experimental and clinical psychophysics with high-resolution retinal imaging, and genetics. We also include environmental and biological factors related to daylight exposure throughout the day and year, physical activity and sleep pattern in some of our projects.

Our research

Our interests are within the field of normal and deficient colour vision (colour-vision deficiencies and colour blindness/achromatopsia); visual optics and the development of the eye and refractive errors; the functional implications of normal, inherited and age related structural changes in the eye’s photoreceptor and retinal pigment epithelium cell layer and how this relates to how we see colour, patterns/details and motion, as well as sensitivity to light and dark.

Ved CVRI-labben undersøker vi hvordan øyne og syn utvikler seg med alder

Current projects

Visual optics: development of refractive error and accommodation

  • The interplay between nature and nurture in myopia development (adolescents and young adults aged 16–24 years).
  • Prediction of myopia development by cone opsin genes, colour vision and the prevailing illuminant (adolescents aged 16–19 years).
  • Paraxial and wide-field ray-traced modelling of the human eye at different ages based on swept-source OCT imaging and wide-field wave front measurements.
  • Southeast Norway Vision and Visuomotor Study (The SNOW Study)

Myopia - from genes and environment to cellular responses and treatment

keyboard_backspace Website for the MyoTreat project

The retina and visual function in health and disease

  • Understanding variation in retinal structure by live imaging of retinal photoreceptors and retinal pigment epithelium cells and its implications on visual function.
  • Identification of new targets for the treatment of ocular diseases by live imaging of the human eye.
  • Automatic retinal image analyses for early detection of eye diseases.
  • Rare eye diseases: retinal structure and visual function (aniridia, inherited retinal degenerations).

Artificial Intelligence for Diagnosing Retinal Diseases (AI D)

keyboard_backspace Website for the AI D-project

MyoTreat

For more effective treatment interventions and earlier diagnosis of myopia (nearsightedness).

keyboard_backspace The MyoTreat-project website

 

Group leader/ Head of lab

Senior Researchers

PhD Candidates

Academic collaborators

  • Andreas Zedrosser, USN Campus Bø, Norway
  • Andreas Maier Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
  • Alfredo Dubra, Stanford University, Palo Alto, USA
  • Christine Wildsoet, University of California, Berkeley, USA
  • Jan Kremers, Friedrich-Alexander-Universität, Erlangen, Germany
  • Maureen and Jay Neitz, University of Washington, Seattle, USA
  • Michael Larsen, University of Copenhagen, Rigshospitalet, Denmark
  • Ragnhild Eek Brandlistuen and Per Magnus, Norwegian Institute of Public Health
  • Ragnheidur Bragadottir, Josephine Prener Holtan, Erlend Landsend, Tor Paaske Utheim, Morten Carstens Moe, Oslo University Hospital & University of Oslo, Norway
  • Robert Lyle, The Norwegian Sequencing Centre and the Genetics and Computational Genetics Group at Oslo University Hospital

Research Group Leaders