Macular Research Group
Our research focuses on understanding, detecting and treating diseases of the macular.
We are working on all aspects of macular disease, but our primary focus is the development of new technologies that can detect and monitor sight threatening eye conditions at an early stage, before vision is lost. Additionally, we are interested in the experiences of people with macular disease, with respect to their treatment, rehabilitation, and other aspects of their eye care.
About 196 million people in the world have age-related macular degeneration, the most common macular disease. It is the leading cause of visual impairment in the developed world. Typically, macular degeneration progresses slowly over the years from early-stage disease, when vision is largely normal, to advanced disease when vision is lost, sometimes abruptly. Currently, the only treatment available is for one form of advanced macular degeneration often referred to as ‘wet AMD’. This treatment, that involves injections into the eyeball, is not a ‘cure’ but it can delay further progression for some people.
We don’t think it makes any sense to wait for people to lose their eyesight before offering a treatment. By developing improved methods of detecting and monitoring early-stage disease and helping evaluate new therapies in clinical trials we are joining the global effort to stop people losing their sight to macular disease.
- To improve the diagnosis and monitoring of early-stage age-related macular degeneration.
- To evaluate new therapies for early-stage macular disease.
- To understand the relationship between early-stage macular disease and outer retinal function.
- To improve the lives and experiences of people living with advanced macular disease.
|Associated academic staff||6|
|Number of invited lectures||5|
Development of new diagnostics
We aim to improve the diagnosis and monitoring of early and intermediate stage macular disease by mapping the performance of a physiological process known as the ‘visual cycle’. The ‘visual cycle’ is responsible for the regeneration of visual pigment molecules after they have been deactivated following exposure to light and without it, we would all be blind in seconds.
Significantly, the visual cycle is dependent on the outer retinal complex, the same tissues that are affected in macular disease specifically, the choriocapillaris, Bruch’s membrane, the retinal pigment epithelium and photoreceptor outer segments. Hence, by measuring the visual cycle we are checking the health of the tissues that are directly affected by macular disease.
We measure the visual cycle using a new technique called high fidelity Imaging Retinal Densitometry (IRD). The technique has been developed in collaboration with the UK Astronomy Technology Centre and uses technology more usually associated with astronomy. The device and some typical results are shown in Figure 1.
Investigating experiences of patients with macular disease
In previous research, we have evaluated quality of life outcomes in individuals with macular disease and investigated the effectiveness of vision rehabilitation. Currently, we are researching patients’ experience of pain associated with eye injections to treat macular disease. In other research with the Ophthalmic Public Health group, we are using patient-reported experience measures to evaluate new eyecare pathways, including those for patients with age-related macular degeneration.
- Breher, K. et al., 2020. Choroidal biomarkers: a repeatability and topographical comparison of choroidal thickness and choroidal bascularity index in healthy eyes. Translational Vision Science & Technology 9 (11) 8. (10.1167/tvst.9.11.8)
- Bhatia, K. K. et al., 2020. Disease classification of macular optical coherence tomography scans using deep learning software: validation on independent, multi-center data. Retina 40 (8), pp.1549-1557. (10.1097/IAE.0000000000002640)
- Cassels, N. K. et al. 2019. Microperimetry in age-related macular degeneration: an evidence-base for Pattern Deviation probability analysis in microperimetry. Translational Vision Science & Technology 8 (6) 48. (10.1167/tvst.8.6.48)
- Acton, J. et al. 2018. Microperimetry and multimodal imaging in polypoidal choroidal vasculopathy. Scientific Reports 8 15769. (10.1038/s41598-018-33781-5)
- Cassels, N. et al. 2018. The use of microperimetry in assessing visual function in age-related macular degeneration. Survey of Ophthalmology 63 (1), pp.40-55. (10.1016/j.survophthal.2017.05.007)
- Terry, L. et al. 2016. Automated Retinal Layer Segmentation Using Spectral Domain Optical Coherence Tomography: Evaluation of Inter-Session Repeatability and Agreement between Devices. Plos One 11 (9) e0162001. (10.1371/journal.pone.0162001)
- McKeague, C. et al. 2014. Low-level night-time light therapy for age-related macular degeneration (ALight): study protocol for a randomized controlled trial. Trials 15 246. (10.1186/1745-6215-15-246)
- Wood, A. , Margrain, T. H. and Binns, A. 2014. Detection of Early Age-related macular degeneration using novel functional parameters of the focal cone electroretinogram. PLoS ONE 9 (5) e96742. (10.1371/journal.pone.0096742)
- Gaffney, A. J. , Binns, A. and Margrain, T. H. 2014. Measurement of cone dark adaptation: a comparison of four psychophysical methods. Documenta Ophthalmologica 128 (1), pp.33-41. (10.1007/s10633-013-9418-6)
- Gaffney, A. J. , Binns, A. and Margrain, T. H. 2013. The effect of pre-adapting light intensity on dark adaptation in early age-related macular degeneration. Documenta Ophthalmologica 127 (3), pp.191-199. (10.1007/s10633-013-9400-3)
- van der Aa, H. P. A. et al., 2013. Stepped-care to prevent depression and anxiety in visually impaired older adults - design of a randomised controlled trial. BMC Psychiatry 13 209. (10.1186/1471-244X-13-209)
- Acton, J. H. et al. 2012. Relationship between retinal layer thickness and the visual field in early age-related macular degeneration. Investigative Ophthalmology and Visual Science 53 (12), pp.7618-7624. (10.1167/iovs.12-10361)
- Gaffney, A. J. , Binns, A. and Margrain, T. H. 2012. Aging and cone dark adaptation. Optometry and Vision Science 89 (8), pp.1219-1224. (10.1097/OPX.0b013e318263c6b1)
- Acton, J. H. , Gibson, J. M. and Cubbidge, R. P. 2012. Quantification of visual field loss in age-related macular degeneration. PLoS ONE 7 (6) e39944. (10.1371/journal.pone.0039944)
- Margrain, T. H. et al. 2012. The depression in Visual Impairment Trial (DEPVIT): trial design and protocol. BMC Psychiatry 12 (1) 57. (10.1186/1471-244X-12-57)
- Wood, A. et al. 2011. Retinal and choroidal thickness in early age-related macular degeneration. American Journal of Ophthalmology 152 (6), pp.1030-1038. (10.1016/j.ajo.2011.05.021)
- Wood, A. , Margrain, T. H. and Binns, A. 2011. The effect of bleach duration and age on the ERG photostress test. Graefe's Archive for Clinical and Experimental Ophthalmology 249 (9), pp.1359-1365. (10.1007/s00417-011-1627-7)
- Acton, J. H. et al. 2011. Drusen detection in retro-mode imaging by a scanning laser ophthalmoscope. Acta Ophthalmologica -New Series- 89 (5), pp.e404-e411. (10.1111/j.1755-3768.2011.02123.x)
- Gaffney, A. J. , Binns, A. and Margrain, T. H. 2011. The repeatability of the Goldmann-Weekers adaptometer for measuring cone adaptation. Documenta Ophthalmologica 122 (2), pp.71-75. (10.1007/s10633-011-9261-6)
- Gaffney, A. J. , Binns, A. and Margrain, T. H. 2011. Topography of Cone Dark Adaptation Deficits in Age-Related Maculopathy. Optometry and Vision Science 88 (9), pp.1080-1087. (10.1097/OPX.0b013e3182223697)
- Carson, D. , Margrain, T. H. and Patel, A. 2009. Reply: Retinal phototoxicity in the aging pseudophakic and phakic eye [Letter]. Journal of Cataract & Refractive Surgery 35 (2), pp.210-211. (10.1016/j.jcrs.2008.11.017)
- Tumlinson, A. R. et al. 2009. Techniques for extraction of depth-resolved in vivo human retinal intrinsic optical signals with optical coherence tomography. Japanese Journal of Ophthalmology 53 (4), pp.315-326. (10.1007/s10384-009-0684-5)
- Carson, D. , Margrain, T. h. and Patel, A. 2008. New approach to evaluate retinal protection by intraocular lenses against age-related lipofuscin accumulation-mediated retinal phototoxicity. Journal of Cataract & Refractive Surgery 34 (10), pp.1785-1792. (10.1016/j.jcrs.2008.06.034)
- Binns, A. and Margrain, T. H. 2007. Evaluating Retinal Function in Age-Related Maculopathy with the ERG Photostress Test. Investigative Ophthalmology and Visual Science 48 (6), pp.2806-2813. (10.1167/iovs.06-0392)
- Binns, A. and Margrain, T. H. 2006. Development of a technique for recording the focal rod ERG. Ophtalmic and physiological optics 26 (1), pp.71-79. (10.1111/j.1475-1313.2005.00355.x)
- Binns, A. and Margrain, T. H. 2005. Evaluation of retinal function using the Dynamic Focal Cone ERG. Ophthalmic and Physiological Optics 25 (6), pp.492-500. (10.1111/j.1475-1313.2005.00338.x)
Saponins for Macular DIsease (SAMADI)
This two centre, exploratory, randomised controlled trial is evaluating the feasibility of using oral glycoside supplements to treat people with early and intermediate stage age-related macular degeneration. The 30 month project is funded by AltRegen Ltd, coordinated by the Centre for Trials Research and led by Professor Tom Margrain.
High fidelity imaging densitometry: exploring the relationship between visual pigment kinetics, choroidal vasculature and sub-retinal drusenoid deposits in age-related macular degeneration
The aim of this study is to establish 1) the effect of age on IRD and OCTA results; 2) the relationship between outer-retinal function and choroidal vasculature in people with early stage AMD; 3) the relationship between IRD and conventional measures of dark adaptation and patient reported visual function. The PhD project is funded by the Macular Society and is led by Dr Ashley Wood. The research student is Vera Silva.
High Fidelity Imaging Retinal Densitometry
This project will use IRD to evaluate rod and cone photopigment kinetics in healthy participants and those with AMD. By modelling the recovery following a range of manipulations we hope to gain a better understanding of the processes that contribute to visual pigment regeneration in health and disease. This PhD project is funded by the Libyan government and is led by Professor Tom Margrain. The research student is Sondos Atia.
Functional imaging of the outer retina using high fidelity imaging densitometry: exploring the relationship between visual pigment kinetics and AMD pathology
This project will use IRD to find out how drusen characteristics, including reticular pseudo drusen, effect visual pigment regeneration. We will test the hypothesis that cone pigment regeneration is selectively impaired by soft drusen and rod pigment regeneration by reticular pseudo drusen. This PhD project is funded by the College of Optometrists and is led by Dr Ashley Wood. The research student is Krishna Pattni.
Investigation of pain associated with anti-vascular endothelial growth factor injections
In this project, we are evaluating patients’ experiences of pain during or after eye injections to treat age-related macular degeneration. We are investigating the factors that are associated with painful injections from both a patient and staff perspective. This PhD project is funded by the Abbeyfield Research Foundation and is supervised by Dr Ashley Wood and Dr Jennifer Acton. The research student is Christina Yiallouridou.
Senior Lecturer & Director of Recruitment and Admissions
- +44 (0)29 2087 0203
Senior Lecturer, Director of Postgraduate Research
- +44(0)29 2087 0564