The optomotor response (OMR) is a reflex used to assess visual function. The PhenoSys qOMR (quantitative optomotor response) is a unique system that objectively measures the OMR with minimal experimenter effort. It employs a virtual stimulation cylinder that continuously aligns with the animal´s head position. Based on real-time head tracking, quantitative OMR measurements automatically provide visual acuity and contrast sensitivity. This is a PhenoSys Collaboration product brought to market together with its developer, Dr. Friedrich Kretschmer. New:qOMR-XT for rats
Check out this video to see how it is operated.
General application areas:
Characterisation or preclinical testing in relevant disease models, for example:
Investigation of various aspects of vision in mice and other rodents:
The PhenoSys qOMR is a PhenoSys Collaboration product. These products are brought to market together with the scientists who developed them.
qOMR is a joint product of Dr. Friedrich Kretschmer and PhenoSys.
qOMR is based on his publications:
PhenoSys qOMR main unit with partially opened lid.
Principle of the experiment with a mouse on top of the platform. The stimulus is normally invisible to the IR camera.
Video-based real-time tracking of head movement. The contour and pointing direction is determined by a fast algorithm using minimal assumptions for the geometry of the animal.
Software omrStudio: stimulus design specifying the presented pattern and the movement scheme
Software omrStudio: running experiment.
Actual measurement data (single frame) and recorded video with superimposed tracking results:
qOMR video with visible stimulus.
The visibility of the stimulus is enhanced compared to the normal qOMR for better clarity.
Software omrStudio: data analysis.
Suh, S., Choi, E. H., Leinonen, H., Foik, A. T., Newby, G. A., Yeh, W. H., … & Palczewski, K. (2020). Restoration of visual function in adult mice with an inherited retinal disease via adenine base editing. Nature biomedical engineering, 1-10.
Lees, R. N., Akbar, A. F., & Badea, T. C. (2020). Retinal Ganglion Cell defects cause decision shifts in visually evoked defense responses. Journal of Neurophysiology 124:5,1530-1549
Chan, K., Hoon, M., Pattnaik, B. R., Ver Hoeve, J. N., Wahlgren, B., Gloe, S., … & Jansen, E. (2020). Induced Retinal Functional Alterations and Second-Order Neuron Plasticity in C57BL/6J Mice. Investigative Ophthalmology & Visual Science, 61(2), 17-17.
Thomson, B. R., Grannonico, M., Liu, F., Liu, M., Mendapara, P., Xu, Y., … & Quaggin, S. E. (2020). Angiopoietin-1 Knockout Mice as a Genetic Model of Open-Angle Glaucoma. Translational Vision Science & Technology, 9(4), 16-16.
Kretschmer, V., Patnaik, S. R., Kretschmer, F., Chawda, M. M., Hernandez-Hernandez, V., & May-Simera, H. L. (2019). Progressive characterization of visual phenotype in Bardet-Biedl syndrome mutant mice. Investigative ophthalmology & visual science, 60(4), 1132-1143.
Wang, X., Zhao, L., Zhang, J., Fariss, R. N., Ma, W., Kretschmer, F., … & Gan, W. B. (2016). Requirement for microglia for the maintenance of synaptic function and integrity in the mature retina. Journal of Neuroscience, 36(9), 2827-2842.
Kretschmer, F., Tariq, M., Chatila, W., Wu, B., & Badea, T. C. (2017). Comparison of optomotor and optokinetic reflexes in mice. Journal of neurophysiology, 118(1), 300-316.