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jaaba software  (MathWorks Inc)


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    MathWorks Inc jaaba software
    a Schematic of the Divider Assay setup and experimental time line. Collecting, isolating, and loading flies are done in one step under 5 min. Flies are then isolated on clear food until they are videotaped. b Recorded video analysis can be done manually (yellow), with a newly developed <t>JAABA-based</t> classifier to precisely score lunges (green), or with existing CADABRA software (red). c Sixty pairs of flies with lunges ranging from 0 to 700 were analyzed manually, with a new JAABA-based classifier, and CADABRA. For this analysis, four groups of fighting intensities were chosen: 0–20, 21–100, 101–300, and >300 lunges. The JAABA-based classifier performed close to the gold standard with no significant differences in any group (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction 0–20, p = 1.0; 21–100, p = 0.55; 101–300, p = 0.75; >300, p = 1.0, n = 15 per group). CADABRA tended to overscore low fighting flies, but significantly underscored high fighting pairs (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction, 0–20: p = 0.08, n = 14; 21–100: p = 0.03; 101–300: p < 0.0001; >300: p < 0.0001, n = 15 per group) (see also Supplementary Fig. , for Gardner–Altman estimation plots). d Regression analysis between manual scoring and classifier ( R 2 = 0.98, p < 0.0001, n = 60) or CADABRA ( R 2 = 0.87, p < 0.0001, n = 59) are both highly significant. e Misclassified lunges with the JAABA-based classifier occur at low frequency in both low and high fighting pairs (false positives ~5% and false negatives ~8%). Boxplots show the median, first and third quartiles as boxes, with whiskers representing the 5 and 95% intervals.
    Jaaba Software, 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
    https://www.bioz.com/result/jaaba software/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    jaaba software - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "The Divider Assay is a high-throughput pipeline for aggression analysis in Drosophila"

    Article Title: The Divider Assay is a high-throughput pipeline for aggression analysis in Drosophila

    Journal: Communications Biology

    doi: 10.1038/s42003-020-01617-6

    a Schematic of the Divider Assay setup and experimental time line. Collecting, isolating, and loading flies are done in one step under 5 min. Flies are then isolated on clear food until they are videotaped. b Recorded video analysis can be done manually (yellow), with a newly developed JAABA-based classifier to precisely score lunges (green), or with existing CADABRA software (red). c Sixty pairs of flies with lunges ranging from 0 to 700 were analyzed manually, with a new JAABA-based classifier, and CADABRA. For this analysis, four groups of fighting intensities were chosen: 0–20, 21–100, 101–300, and >300 lunges. The JAABA-based classifier performed close to the gold standard with no significant differences in any group (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction 0–20, p = 1.0; 21–100, p = 0.55; 101–300, p = 0.75; >300, p = 1.0, n = 15 per group). CADABRA tended to overscore low fighting flies, but significantly underscored high fighting pairs (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction, 0–20: p = 0.08, n = 14; 21–100: p = 0.03; 101–300: p < 0.0001; >300: p < 0.0001, n = 15 per group) (see also Supplementary Fig. , for Gardner–Altman estimation plots). d Regression analysis between manual scoring and classifier ( R 2 = 0.98, p < 0.0001, n = 60) or CADABRA ( R 2 = 0.87, p < 0.0001, n = 59) are both highly significant. e Misclassified lunges with the JAABA-based classifier occur at low frequency in both low and high fighting pairs (false positives ~5% and false negatives ~8%). Boxplots show the median, first and third quartiles as boxes, with whiskers representing the 5 and 95% intervals.
    Figure Legend Snippet: a Schematic of the Divider Assay setup and experimental time line. Collecting, isolating, and loading flies are done in one step under 5 min. Flies are then isolated on clear food until they are videotaped. b Recorded video analysis can be done manually (yellow), with a newly developed JAABA-based classifier to precisely score lunges (green), or with existing CADABRA software (red). c Sixty pairs of flies with lunges ranging from 0 to 700 were analyzed manually, with a new JAABA-based classifier, and CADABRA. For this analysis, four groups of fighting intensities were chosen: 0–20, 21–100, 101–300, and >300 lunges. The JAABA-based classifier performed close to the gold standard with no significant differences in any group (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction 0–20, p = 1.0; 21–100, p = 0.55; 101–300, p = 0.75; >300, p = 1.0, n = 15 per group). CADABRA tended to overscore low fighting flies, but significantly underscored high fighting pairs (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction, 0–20: p = 0.08, n = 14; 21–100: p = 0.03; 101–300: p < 0.0001; >300: p < 0.0001, n = 15 per group) (see also Supplementary Fig. , for Gardner–Altman estimation plots). d Regression analysis between manual scoring and classifier ( R 2 = 0.98, p < 0.0001, n = 60) or CADABRA ( R 2 = 0.87, p < 0.0001, n = 59) are both highly significant. e Misclassified lunges with the JAABA-based classifier occur at low frequency in both low and high fighting pairs (false positives ~5% and false negatives ~8%). Boxplots show the median, first and third quartiles as boxes, with whiskers representing the 5 and 95% intervals.

    Techniques Used: Isolation, Software



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    a Schematic of the Divider Assay setup and experimental time line. Collecting, isolating, and loading flies are done in one step under 5 min. Flies are then isolated on clear food until they are videotaped. b Recorded video analysis can be done manually (yellow), with a newly developed <t>JAABA-based</t> classifier to precisely score lunges (green), or with existing CADABRA software (red). c Sixty pairs of flies with lunges ranging from 0 to 700 were analyzed manually, with a new JAABA-based classifier, and CADABRA. For this analysis, four groups of fighting intensities were chosen: 0–20, 21–100, 101–300, and >300 lunges. The JAABA-based classifier performed close to the gold standard with no significant differences in any group (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction 0–20, p = 1.0; 21–100, p = 0.55; 101–300, p = 0.75; >300, p = 1.0, n = 15 per group). CADABRA tended to overscore low fighting flies, but significantly underscored high fighting pairs (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction, 0–20: p = 0.08, n = 14; 21–100: p = 0.03; 101–300: p < 0.0001; >300: p < 0.0001, n = 15 per group) (see also Supplementary Fig. , for Gardner–Altman estimation plots). d Regression analysis between manual scoring and classifier ( R 2 = 0.98, p < 0.0001, n = 60) or CADABRA ( R 2 = 0.87, p < 0.0001, n = 59) are both highly significant. e Misclassified lunges with the JAABA-based classifier occur at low frequency in both low and high fighting pairs (false positives ~5% and false negatives ~8%). Boxplots show the median, first and third quartiles as boxes, with whiskers representing the 5 and 95% intervals.
    Jaaba Software, 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
    https://www.bioz.com/result/jaaba software/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    jaaba software - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    a Schematic of the Divider Assay setup and experimental time line. Collecting, isolating, and loading flies are done in one step under 5 min. Flies are then isolated on clear food until they are videotaped. b Recorded video analysis can be done manually (yellow), with a newly developed JAABA-based classifier to precisely score lunges (green), or with existing CADABRA software (red). c Sixty pairs of flies with lunges ranging from 0 to 700 were analyzed manually, with a new JAABA-based classifier, and CADABRA. For this analysis, four groups of fighting intensities were chosen: 0–20, 21–100, 101–300, and >300 lunges. The JAABA-based classifier performed close to the gold standard with no significant differences in any group (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction 0–20, p = 1.0; 21–100, p = 0.55; 101–300, p = 0.75; >300, p = 1.0, n = 15 per group). CADABRA tended to overscore low fighting flies, but significantly underscored high fighting pairs (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction, 0–20: p = 0.08, n = 14; 21–100: p = 0.03; 101–300: p < 0.0001; >300: p < 0.0001, n = 15 per group) (see also Supplementary Fig. , for Gardner–Altman estimation plots). d Regression analysis between manual scoring and classifier ( R 2 = 0.98, p < 0.0001, n = 60) or CADABRA ( R 2 = 0.87, p < 0.0001, n = 59) are both highly significant. e Misclassified lunges with the JAABA-based classifier occur at low frequency in both low and high fighting pairs (false positives ~5% and false negatives ~8%). Boxplots show the median, first and third quartiles as boxes, with whiskers representing the 5 and 95% intervals.

    Journal: Communications Biology

    Article Title: The Divider Assay is a high-throughput pipeline for aggression analysis in Drosophila

    doi: 10.1038/s42003-020-01617-6

    Figure Lengend Snippet: a Schematic of the Divider Assay setup and experimental time line. Collecting, isolating, and loading flies are done in one step under 5 min. Flies are then isolated on clear food until they are videotaped. b Recorded video analysis can be done manually (yellow), with a newly developed JAABA-based classifier to precisely score lunges (green), or with existing CADABRA software (red). c Sixty pairs of flies with lunges ranging from 0 to 700 were analyzed manually, with a new JAABA-based classifier, and CADABRA. For this analysis, four groups of fighting intensities were chosen: 0–20, 21–100, 101–300, and >300 lunges. The JAABA-based classifier performed close to the gold standard with no significant differences in any group (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction 0–20, p = 1.0; 21–100, p = 0.55; 101–300, p = 0.75; >300, p = 1.0, n = 15 per group). CADABRA tended to overscore low fighting flies, but significantly underscored high fighting pairs (Kruskal–Wallis ANOVA with Dunn’s test and Bonferroni correction, 0–20: p = 0.08, n = 14; 21–100: p = 0.03; 101–300: p < 0.0001; >300: p < 0.0001, n = 15 per group) (see also Supplementary Fig. , for Gardner–Altman estimation plots). d Regression analysis between manual scoring and classifier ( R 2 = 0.98, p < 0.0001, n = 60) or CADABRA ( R 2 = 0.87, p < 0.0001, n = 59) are both highly significant. e Misclassified lunges with the JAABA-based classifier occur at low frequency in both low and high fighting pairs (false positives ~5% and false negatives ~8%). Boxplots show the median, first and third quartiles as boxes, with whiskers representing the 5 and 95% intervals.

    Article Snippet: Movies with multiple fly pairs were tracked simultaneously using FlyTracker v1.0.5 software , and tracked movies were analyzed in JAABA (Janelia Automated Animal Behavior Analysis) software , both run in MATLAB.

    Techniques: Isolation, Software