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matlab-based automated image analysis  (MathWorks Inc)


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    MathWorks Inc matlab-based automated image analysis
    Matlab Based Automated Image Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 90 stars, based on 1 article reviews
    matlab-based automated image analysis - by Bioz Stars, 2026-03
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    A: Schematic depiction of the experimental arrangement used to present a unilateral stimulus to elicit the OKR. The animated, computer-generated stimulus pattern was projected onto a screen filling the visual field of the left eye. The zebrafish was illuminated by infrared from below, and responses recorded from above.

    Journal: Journal of neuroscience methods

    Article Title: An open-source method to analyze optokinetic reflex responses in larval zebrafish

    doi: 10.1016/j.jneumeth.2017.10.012

    Figure Lengend Snippet: A: Schematic depiction of the experimental arrangement used to present a unilateral stimulus to elicit the OKR. The animated, computer-generated stimulus pattern was projected onto a screen filling the visual field of the left eye. The zebrafish was illuminated by infrared from below, and responses recorded from above.

    Article Snippet: New Method We developed an open-source MATLAB-based solution for automated quantitative analysis of OKR responses in larval zebrafish.

    Techniques: Generated

    A video recording of OKR responses in a larval zebrafish at 7dpf was analyzed by measuring ocular angles manually in every twentieth frame of the video. The same video was analyzed suing OKRtrack and the results of the two methods compared.

    Journal: Journal of neuroscience methods

    Article Title: An open-source method to analyze optokinetic reflex responses in larval zebrafish

    doi: 10.1016/j.jneumeth.2017.10.012

    Figure Lengend Snippet: A video recording of OKR responses in a larval zebrafish at 7dpf was analyzed by measuring ocular angles manually in every twentieth frame of the video. The same video was analyzed suing OKRtrack and the results of the two methods compared.

    Article Snippet: New Method We developed an open-source MATLAB-based solution for automated quantitative analysis of OKR responses in larval zebrafish.

    Techniques:

    OKR responses following unilateral stimulus presentation to the left eye were analyzed in 20 zebrafish larvae at 7dpf, using OKRtrack and OKRanalyze. Quantitative data are shown for 28 different parameters relating to movements of the stimulated (left) and contralateral (right) eyes, in response to a 15°/cycle, 99% contrast, sinusoidal grating pattern that moved at 15°/s, in a temporonasal (TN) or nasotemporal (NT) direction with respect to the left eye. Graphs show data points for individual larvae along with the group mean and 95% CI for A: ocular range; B: reflex gain; C: interocular difference; D: interocular concordance; E: interocular gain; F: saccade frequency; G: saccade velocity; H: saccade amplitude; J: saccade time constant. *p<0.05*, **p<0.01, ***p,0.001, ****p<0.0001, paired 2-tailed t-test (panels A, C, D, E) or 1-way ANOVA with Tukey’s post hoc test (panels B, F, G, H, J).

    Journal: Journal of neuroscience methods

    Article Title: An open-source method to analyze optokinetic reflex responses in larval zebrafish

    doi: 10.1016/j.jneumeth.2017.10.012

    Figure Lengend Snippet: OKR responses following unilateral stimulus presentation to the left eye were analyzed in 20 zebrafish larvae at 7dpf, using OKRtrack and OKRanalyze. Quantitative data are shown for 28 different parameters relating to movements of the stimulated (left) and contralateral (right) eyes, in response to a 15°/cycle, 99% contrast, sinusoidal grating pattern that moved at 15°/s, in a temporonasal (TN) or nasotemporal (NT) direction with respect to the left eye. Graphs show data points for individual larvae along with the group mean and 95% CI for A: ocular range; B: reflex gain; C: interocular difference; D: interocular concordance; E: interocular gain; F: saccade frequency; G: saccade velocity; H: saccade amplitude; J: saccade time constant. *p<0.05*, **p<0.01, ***p,0.001, ****p<0.0001, paired 2-tailed t-test (panels A, C, D, E) or 1-way ANOVA with Tukey’s post hoc test (panels B, F, G, H, J).

    Article Snippet: New Method We developed an open-source MATLAB-based solution for automated quantitative analysis of OKR responses in larval zebrafish.

    Techniques: