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Andrew Metha, BSc, BSc(Optom), PGCertOcTher, PhD

Affiliations:

Optometry & Vision Sciences

University of Melbourne, Parkville, Victoria, Australia

Area:

Vision, Adaptive Optics, Physiological Optics, Color Vision, Neurophysiology, Retina

Website:

http://www.optometry.unimelb.edu.au/research/methaLab.html

Google:

"Andrew Metha - Google Scholar"

Bio:

Andrew Metha is currently an Associate Professor in the Department of Optometry and Vision Sciences at the University of Melbourne, where he has taught at all levels in the Bachelor and now new Postgraduate Optometry Degree courses.

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Mean distance: 13.93 (cluster 23)

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Parents

David R. Badcock	grad student	1990-1994	University of Melbourne
Algis Jonas Vingrys	grad student	1990-1994	University of Melbourne
(Detection and direction discrimination in terms of post-receptoral mechanisms)
Kathy T. Mullen	post-doc	1994-1996	McGill Vision Research
Peter Lennie	post-doc	1996-1998	Rochester
Michael B. Calford	post-doc	1998-2000	ANU

Children

Phillip Bedggood	grad student	2004-	University of Melbourne
Chris Tailby	grad student	2000-2003	University of Melbourne
Geoff Sampson	grad student	2001-2004	University of Melbourne
Josephine Battista	grad student	2002-2005	University of Melbourne
Kunjam Vallam	grad student	2003-2006	University of Melbourne
Narayanan Rajeev	grad student	2007-2010	University of Melbourne
Ross Ashman	post-doc	2004-2006	University of Melbourne

Collaborators

Austin Roorda	collaborator		Rochester
Trichur Raman Vidyasagar	collaborator		University of Melbourne
David R. Williams	collaborator	1996-	Rochester
Paul R. Martin	collaborator	2002-	National Vision Research Institute of Australia
Peter Bex	collaborator	1996-1998	Rochester
Walter L. Makous	collaborator	1996-1998	Rochester

BETA: Related publications

Publications

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Trlin P, Gong J, Tran KKN, et al. (2024) Retinal hyperspectral imaging in mouse models of Parkinson's disease and healthy aging. Scientific Reports. 14: 16089
Bedggood P, Ding Y, Metha A. (2024) Changes to the shape, orientation and packing of red cells as a function of retinal capillary size. Biomedical Optics Express. 15: 558-578
Neriyanuri S, Bedggood P, Symons RCA, et al. (2024) Validation of an automated method for studying retinal capillary blood flow. Biomedical Optics Express. 15: 802-817
Neriyanuri S, Bedggood P, Symons RCA, et al. (2023) Mapping the human parafoveal vascular network to understand flow variability in capillaries. Plos One. 18: e0292962
Britten-Jones AC, Thai L, Flanagan JPM, et al. (2023) Adaptive optics imaging in inherited retinal diseases: A scoping review of the clinical literature. Survey of Ophthalmology
Fricke TR, Metha AB, Anderson DP, et al. (2023) Does vision therapy for visual information processing improve academic performance? A randomised clinical trial. Ophthalmic & Physiological Optics : the Journal of the British College of Ophthalmic Opticians (Optometrists)
Neriyanuri S, Bedggood P, Symons RCA, et al. (2023) Flow Heterogeneity and Factors Contributing to the Variability in Retinal Capillary Blood Flow. Investigative Ophthalmology & Visual Science. 64: 15
Bedggood P, Ding Y, Metha A. (2023) Measuring red blood cell shape in the human retina. Optics Letters. 48: 1554-1557
Heriot WJ, Metha AB, He Z, et al. (2022) Optimizing Retinal Thermofusion in Retinal Detachment Repair: Achieving Instant Adhesion without Air Tamponade. Ophthalmology Science. 2: 100179
Bedggood P, Britten-Jones AC, Ayton LN, et al. (2022) Assessment of photoreceptor function with ultrafast retinal densitometry. Biomedical Optics Express. 13: 5311-5326