July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Comparison of computerized system and human observers for vision assessment based on optomotor response in Rhodopsin knockout mice
Author Affiliations & Notes
  • Kin-Sang Cho
    Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Jiaxin Xiao
    Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
    Faculty of Medicine, University of Oslo, Oslo, Norway
  • Cong Shi
    Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Karen Chang
    Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Tor Paaske Utheim
    Department of Oral Biology, Faculty of Dentistry, Oslo, Norway
  • Gang Luo
    Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Dong Feng Chen
    Schepens Eye Research Institute, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Kin-Sang Cho, None; Jiaxin Xiao, None; Cong Shi, None; Karen Chang, None; Tor Utheim, None; Gang Luo, None; Dong Chen, None
  • Footnotes
    Support  NIH/NEI R41 EY025913, R01EY025259, P30EY03790, and Lion’s Foundation grant
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 982. doi:
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      Kin-Sang Cho, Jiaxin Xiao, Cong Shi, Karen Chang, Tor Paaske Utheim, Gang Luo, Dong Feng Chen; Comparison of computerized system and human observers for vision assessment based on optomotor response in Rhodopsin knockout mice. Invest. Ophthalmol. Vis. Sci. 2018;59(9):982.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Detection of optomotor response (OMR) is a convenient approach to evaluate visual functions in rodent. We have developed a computer vision system to detect real time OMR to circumvent the manpower cost issues with systems that need human observers to visually detect OMR. The present study validate the automated system against human observers using in a genetically modified mouse strain with photoreceptor degeneration, Rhodopsin knockout (Rho-/-) mice.

Methods : Rho-/- mouse was placed on a pedestal that was placed in the center of a standard OMR system that contained an enclosure formed by four 15-inch LCD monitors for displaying black and white stripes. The OMR of Rho-/- mice was followed starting from 6 weeks old because it is thought to cover before functional vision loss was detectable to blindness (as previously reported for most Rho-/- mice). By varying the size, direction and width of stripes, contrast threshold at a fixed spatial frequency (0.20 cyc/deg) and visual acuity based on stripe width at 100% contrast of Rho-/- mice, were measured by observers (12 eyes; 6 – 12 weeks old) and the automated system (11 eyes; 6-16 weeks old). Linear regression analysis was used to assess the vision changes over time, for both methods.

Results : Automated system and human observers both detected similar progressive decline of visual acuity over time. According to linear regression, the declining rate was 0.061 cpd/week (auto system, R2=0.787) and 0.059cpd/week (human, R2=0.641), respectively. Similarly, automated system and human experimenter both found similar increased contrast threshold over time. According to linear regression, minimal visible contrast increase 9.0% per week (auto, R2=0.71) and 8.4% per week (human, R2=0.71), respectively.

Conclusions : For detection of vision changes in Rhodopsin knockout mice, the automated system performed consistently with human observers. The results suggest that the auto system can be a reliable approach to vision assessment in mice with photoreceptor degeneration. It could be used as a platform for drug screening against photoreceptor degeneration in genetically modified mice.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

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