Metropsis research edition

A complete toolbox for psychophysical assessment of visual function

Fast, accurate and more sensitive than standard tests

For normal, defective, paediatric, ageing and low vision populations

Metropsis is a complete toolbox

Metropsis is a complete test suite suitable for clinical, pre-clinical, drug trials, screening, sports science, applied vision and human factors research. Choose from a wide range of tests, including protocols designed for normal, paediatric, ageing and low vision populations – or we can develop a custom test  for your project.


Easy screening of Best Corrected Visual Acuity using the familiar chart.

Single Optotype

A finer scale of letter sizes allows detection of more subtle changes in visual acuity.

Landolt C

Especially suitable for pre-readers, illiterates and subjects unfamiliar with the Latin alphabet.

Gabor Patch

For a more detailed characterisation of spatial visual abilities.


Quick, easy and efficient to score, measures contrast acuity using customised spatial frequencies.

Flicker Test

Temporal contrast sensitivity “Flicker Test” is informative of light and dark adaptation abilities.

Depth Discrimination

Depth discrimination is an informative measure of binocular vision.

Cambridge Colour

Rapid screening, or full assessment of changes in colour discrimination.

Low Vision Colour

Uses a larger stimulus size which is more suitable for patients with low vision.

Universal Colour Test

A discrimination task which is simple enough even for children as young as 5 years old.

for faster more precise assessment of visual function

Metropsis is more sensitive than standard charts: ideal for investigating diseases of the eye and brain, as well as secondary effects of systemic disorders, such as cardiovascular disease or neurological function.

The research edition includes Metropsis Display++ technology (the screen displaying the ETDRS chart above) with a unique integrated sensor system, enabling the display to self-calibrate in real time. So you can be sure that your results are reliable and repeatable – even when performing long-term studies using multiple Metropsis systems across different sites.

trusted worldwide

Metropsis research edition is currently being used in clinical trials and natural history studies in research centres worldwide, including:

  • Moorfields Eye Hospital, London
  • Nuffield Laboratory of Ophthalmology, Oxford
  • National Eye Institute, Bethesda
  • Johnson & Johnson Vision Care
  • Department of Clinical Neurosciences, University of Cambridge
  • Kobe Eye Centre
  • Tokyo Medical Centre
  • L V Prasad Eye Institute, Hyderabad
  • Kellogg Eye Centre, Ann Arbor
  • Institut de la Vision, Paris
  • Institute for Ophthalmic Research, Tubingen
  • Emory Eye Centre, Atlanta
  • Department of Ophthalmology, University of Colorado
  • Department of Medicine and Optometry, Linnaeus University
  • Faculty of Medicine, University of Coimbra
  • University of Pennsylvania
  • University of Nevada, Reno
  • Azienda Ospedale Universita’ Padova
  • University of Latvia
  • Karolinska Institutet, Stockholm
  • Technological University Dublin

precision Display++ technology

One of the key elements of Metropsis research edition is the calibrated 32” LCD Display++ Monitor, designed and manufactured exclusively by Cambridge Research Systems and used in hundreds of research labs (see some recent Display++ references below). Display++ makes it easy to display calibrated visual stimuli with precision timing and provides excellent control of colour and contrast.

Reliable stimulus presentation

Off-the-shelf LCD panels suffer from large colour and luminance fluctuations. This may be acceptable for screening tests, but general purpose LCD displays are unsuitable for precision testing. Novel hardware corrections developed by our Staff Scientists ensure that Display++ reliably presents calibrated test patterns on every trial.

Highly accurate colour reproduction and spatial uniformity

Display++ reproduces colours with high accuracy (average CIE DE2000 < 0.3) and high spatial uniformity (over 95%) across the screen area. It offers up to 16-bits per channel colour resolution, which will allow the investigator to obtain very fine contrast levels.

Self-calibrating monitor

Display++ is calibrated at the factory and maintains its calibrated light output thanks to a built-in light sensor. The sensor is isolated by the ambient light, so changes in the ambient light will not affect the calibration of the monitor.

Display++ Technical Data
  • Wide Field display: 32″ 1920×1080 IPS LCD with 120Hz panel drive and 5ms grey-to-grey response time
  • Deep Colour technology: supports in excess of 1 billion colours. 10-bit RGB native, configurable up to 16-bit using temporal dithering algorithms
  • High Brightness: Peak white output up to 350cd.m-2
  • High Contrast: typically 1400:1 after full factory calibration settings have been applied
  • HDMI 1.4 input: supports 16:9 video modes 1920×1080 @ 120Hz and 1920×1080 @ 100Hz
  • Integrated colour sensor for real time luminance calibration. Ensures accurate light output, regardless of the effects of ageing
  • Hardware gamma correction tables and bespoke CRS CIE XYZ colour management system ensure accurate colour reproduction over the entire gamut
  • Individual unit factory calibration with full colorimetric and spectroradiometric calibrations included (units are delivered with “gamma corrected” linear light output at 120 cd.m-2 and CIE XYZ colour reproduction better than 1 Delta-E across full scale range
  • sRGB colour calibrated Monitor video mode for presentation of HD video and photo
  • Light output is synchronous and lag-free
  • Strobing LED backlight to minimise transition artefact
  • Multiple synchronous TTL trigger outputs (11 bits in, 11 bits out in total: 10 bits in, 10 bits out on DB25 connector; dedicated Trigger In and Trigger Out on BNC connectors).
  • Integrates with audio, eye tracking and behavioral response devices, and compatible with solutions from vendors (e.g. equipment for recording EEG/ERPs, eye trackers, neurophysiological amplifiers, equipment for recording evoked potentials, TMS stimulators).


Hughes, A. E., Greenwood, J. A., Finlayson, N. J., & Schwarzkopf, D. S. (2019). Population receptive field estimates for motion-defined stimuli. NeuroImage.

Kohl, C., Spieser, L., Forster, B., Bestmann, S., & Yarrow, K. (2019). The neurodynamic decision variable in human multi-alternative perceptual choice. Journal of cognitive neuroscience, 31(2), 262-277.

Ghodrati, M., Zavitz, E., Rosa, M. G., & Price, N. S. (2019). Contrast and luminance adaptation alter neuronal coding and perception of stimulus orientation. Nature communications, 10(1), 941.

DiMattina, C., & Baker, C. L. (2019). Modeling second-order boundary perception: A machine learning approach. PLoS computational biology, 15(3), e1006829.

Flynn, O. J., & Jeffrey, B. G. (2019). Scotopic contour and shape discrimination using radial frequency patterns. Journal of vision, 19(2), 7-7. Slattery, T. J., & Vasilev, M. R. (2019). An eye-movement exploration into return-sweep targeting during reading. Attention, Perception, & Psychophysics, 1-7.

Zhang, Q., & Li, S. (2019). The roles of spatial frequency in category‐level visual search of real‐world scenes. PsyCh journal. Smith, P. L., & Corbett, E. A. (2019). Speeded multielement decision-making as diffusion in a hypersphere: Theory and application to double-target detection. Psychonomic bulletin & review, 26(1), 127-162.

Takao, S., Clifford, C. W., & Watanabe, K. (2019). Ebbinghaus illusion depends more on the retinal than perceived size of surrounding stimuli. Vision research, 154, 80-84.

Wright, D., & Chouinard, P. A. (2019). Effects of multitasking and intention–behaviour consistency when facing yellow traffic light uncertainty. Attention, Perception, & Psychophysics, 1-18.

Beatty, P. J., Buzzell, G. A., Roberts, D. M., & McDonald, C. G. (2018). Speeded response errors and the error-related negativity modulate early sensory processing. Neuroimage, 183, 112-120.

Kumaran, N., Ripamonti, C., Kalitzeos, A., Rubin, G. S., Bainbridge, J. W., & Michaelides, M. (2018). Severe Loss of Tritan Color Discrimination in RPE65 Associated Leber Congenital Amaurosis. Investigative ophthalmology & visual science, 59(1), 85-93.

Kawai, K., Chandler, D. M., & Ohashi, G. (2018, September). On the Role of Shaped-Noise Visibility for Post-Compression Image Enhancement. In International Conference on Global Research and Education (pp. 195-203). Springer, Cham.

Tamura, H., Higashi, H., & Nakauchi, S. (2018). Dynamic Visual Cues for Differentiating Mirror and Glass. Scientific reports, 8(1), 8403. doi: 10.1038/s41598-018-26720-x

Goettker, A., Braun, D. I., Schütz, A. C., & Gegenfurtner, K. R. (2018). Execution of saccadic eye movements affects speed perception. Proceedings of the National Academy of Sciences, 201704799

Balsdon T, Clifford CWG. 2018 Visual processing: conscious until proven otherwise. R. Soc. open sci. 5: 171783.

Park, A. S., Bedggood, P. A., Metha, A. B., & Anderson, A. J. (2017). Masking of random-walk motion by flicker, and its role in the allocation of motion in the on-line jitter illusion. Vision research, 137, 50-60.

Palmer, C. J., & Clifford, C. W. (2017). Perceived Object Trajectory Is Influenced by Others’ Tracking Movements. Current Biology, 27(14), 2169-2176

Mannion, D. J., Donkin, C., & Whitford, T. J. (2017). No apparent influence of psychometrically-defined schizotypy on orientation-dependent contextual modulation of visual contrast detection. PeerJ, 5, e2921

Braun, D. I., Schütz, A. C., & Gegenfurtner, K. R. (2017). Visual sensitivity for luminance and chromatic stimuli during the execution of smooth pursuit and saccadic eye movements. Vision research, 136, 57-69.

Vercillo, T., Carrasco, C., & Jiang, F. (2017). Age-Related Changes in Sensorimotor Temporal Binding. Frontiers in Human Neuroscience, 11, 500

Agaoglu, M. N., & Chung, S. T. (2017). Interaction between stimulus contrast and pre-saccadic crowding. Royal Society open science, 4(2), 160559.

Valsecchi, M. & Gegenfurtner, K.R. (2016). Dynamic re-calibration of perceived size in fovea and periphery through predictable size changes. Current Biology, 26, 59–63

Souto, D., Gegenfurtner, K.R. & Schütz, A.C. (2016). Saccade adaptation and visual uncertainty. Frontiers in Human Neuroscience, 10:227 Braun, D. I., & Gegenfurtner, K. R. (2016). Dynamics of oculomotor direction discrimination. Journal of Vision, 16(13):4, 1–26,

DiMattina, C. (2016). Comparing models of contrast gain using psychophysical experiments. Journal of Vision, 16(9):1, 1–18,

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