Modelling directionality of photoreceptors in the human eye as a function of monochromatic aberrations

Chao, Christopher, Iskander, D. Robert, Collins, Michael J., & Bennamoun, Mohammed (2000) Modelling directionality of photoreceptors in the human eye as a function of monochromatic aberrations. In the The 34th ASILOMAR Conference on Signals, Systems, and Computers, October 2000, Pacific Grove, CA.


The cone photoreceptors of the retina are directed towards the centre of the eye’s pupil. It has been suggested that the photoreceptors directionality is linked to the optical aberrations induced by the cornea and crystalline lens in the eye. We show that the cone directionality can be modelled by a two-dimensional Gaussian function whose parameters vary according to the measured monochromatic aberrations of the eye. Our modelling is based on a hypothesis that cones directionality is optimised so that resulting quality of the retinal image is maximised. This criterion is equivalent to maximising the energy of the system response. This methodology might also be used in cost-effective automatic image enhancement systems for correcting higher-order aberrations without the need of applying adaptive optics.

Impact and interest:

0 citations in Scopus
1 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

522 since deposited on 03 Mar 2005
331 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 749
Item Type: Conference Paper
Refereed: No
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2000 (please consult author)
Deposited On: 03 Mar 2005 00:00
Last Modified: 09 Jun 2010 12:23

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page