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volocity® imaging software suite  (Quorum Technologies)


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    Structured Review

    Quorum Technologies volocity® imaging software suite
    Proteins that correlated with sleep or maximal aerobic capacity and platelet activation. (A) Metabolites that correlated with a fitness outcome. Dark red lines indicate that the higher abundance of the metabolite is correlated with a lower maximal oxygen uptake ( V ˙ O 2 max). (B) Proteins from the sparse partial least squares discriminant analysis (sPLS‐DA) that were significantly correlated with self‐reported sleep duration, sleep latency, sleep efficiency, global score from the Pittsburgh Sleep Quality Index (PSQI), and relative maximal aerobic capacity. Dark blue lines indicate higher abundances of the protein were correlated with increased sleep efficient PSQI and V ˙ O 2 max. Dark red lines indicate higher abundances of the protein were correlated with decreased hours of sleep. (C) Citrated platelet‐rich plasma from healthy control participant were labeled with fluorescent markers as shown, recalcified to 1 mmol/l calcium, spiked with plasma (20% v/v) from cohorts of improvers and decliners, and allowed to adhere to bovine serum albumin‐coated surfaces. Extended‐focus images are typical merged fields of view at the 45‐minute timepoint. The yellow arrow points to a ballooned and procoagulant platelet in the decliner view. Images were captured at Nyquist using a Nikon A1R laser scanning confocal microscope (objective magnification, ×60) and analyzed using <t>Volocity®</t> Software (Quorum Technologies, Puslinch, ON, Canada). Mean intensity data were tested for normality using the Shapiro–Wilk test ( p < 0.05), and presented as box‐and‐whiskers plots showing minimum to maximum values. The medians and interquartile ranges of data are represented by the horizontal line through the box and the height of the box, respectively. Data were then analyzed using GraphPad Prism 9.3 (San Diego, CA, USA), and statistical significance was determined by 1‐way ANOVA analysis followed by the Kruskal–Wallis post hoc test. The values p < 0.01 (**) or p < 0.001 (***) were considered significant. Data are from 3 controls, 5 decliners, and 5 improvers. Scale bars: 5 μm. (D) Increased channel pressure was measured using a hemostatic blood flow at arterial pressure test.
    Volocity® Imaging Software Suite, supplied by Quorum Technologies, 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/product/volocity%C2%AE+imaging+software+suite/pmc12010053-143-10-20?v=Quorum+Technologies
    Average 90 stars, based on 1 article reviews
    volocity® imaging software suite - by Bioz Stars, 2026-07
    90/100 stars

    Images

    1) Product Images from "Longitudinal Proteomic Profiling of Cognition across an Aerobic Exercise Intervention"

    Article Title: Longitudinal Proteomic Profiling of Cognition across an Aerobic Exercise Intervention

    Journal: Annals of Neurology

    doi: 10.1002/ana.27210

    Proteins that correlated with sleep or maximal aerobic capacity and platelet activation. (A) Metabolites that correlated with a fitness outcome. Dark red lines indicate that the higher abundance of the metabolite is correlated with a lower maximal oxygen uptake ( V ˙ O 2 max). (B) Proteins from the sparse partial least squares discriminant analysis (sPLS‐DA) that were significantly correlated with self‐reported sleep duration, sleep latency, sleep efficiency, global score from the Pittsburgh Sleep Quality Index (PSQI), and relative maximal aerobic capacity. Dark blue lines indicate higher abundances of the protein were correlated with increased sleep efficient PSQI and V ˙ O 2 max. Dark red lines indicate higher abundances of the protein were correlated with decreased hours of sleep. (C) Citrated platelet‐rich plasma from healthy control participant were labeled with fluorescent markers as shown, recalcified to 1 mmol/l calcium, spiked with plasma (20% v/v) from cohorts of improvers and decliners, and allowed to adhere to bovine serum albumin‐coated surfaces. Extended‐focus images are typical merged fields of view at the 45‐minute timepoint. The yellow arrow points to a ballooned and procoagulant platelet in the decliner view. Images were captured at Nyquist using a Nikon A1R laser scanning confocal microscope (objective magnification, ×60) and analyzed using Volocity® Software (Quorum Technologies, Puslinch, ON, Canada). Mean intensity data were tested for normality using the Shapiro–Wilk test ( p < 0.05), and presented as box‐and‐whiskers plots showing minimum to maximum values. The medians and interquartile ranges of data are represented by the horizontal line through the box and the height of the box, respectively. Data were then analyzed using GraphPad Prism 9.3 (San Diego, CA, USA), and statistical significance was determined by 1‐way ANOVA analysis followed by the Kruskal–Wallis post hoc test. The values p < 0.01 (**) or p < 0.001 (***) were considered significant. Data are from 3 controls, 5 decliners, and 5 improvers. Scale bars: 5 μm. (D) Increased channel pressure was measured using a hemostatic blood flow at arterial pressure test.
    Figure Legend Snippet: Proteins that correlated with sleep or maximal aerobic capacity and platelet activation. (A) Metabolites that correlated with a fitness outcome. Dark red lines indicate that the higher abundance of the metabolite is correlated with a lower maximal oxygen uptake ( V ˙ O 2 max). (B) Proteins from the sparse partial least squares discriminant analysis (sPLS‐DA) that were significantly correlated with self‐reported sleep duration, sleep latency, sleep efficiency, global score from the Pittsburgh Sleep Quality Index (PSQI), and relative maximal aerobic capacity. Dark blue lines indicate higher abundances of the protein were correlated with increased sleep efficient PSQI and V ˙ O 2 max. Dark red lines indicate higher abundances of the protein were correlated with decreased hours of sleep. (C) Citrated platelet‐rich plasma from healthy control participant were labeled with fluorescent markers as shown, recalcified to 1 mmol/l calcium, spiked with plasma (20% v/v) from cohorts of improvers and decliners, and allowed to adhere to bovine serum albumin‐coated surfaces. Extended‐focus images are typical merged fields of view at the 45‐minute timepoint. The yellow arrow points to a ballooned and procoagulant platelet in the decliner view. Images were captured at Nyquist using a Nikon A1R laser scanning confocal microscope (objective magnification, ×60) and analyzed using Volocity® Software (Quorum Technologies, Puslinch, ON, Canada). Mean intensity data were tested for normality using the Shapiro–Wilk test ( p < 0.05), and presented as box‐and‐whiskers plots showing minimum to maximum values. The medians and interquartile ranges of data are represented by the horizontal line through the box and the height of the box, respectively. Data were then analyzed using GraphPad Prism 9.3 (San Diego, CA, USA), and statistical significance was determined by 1‐way ANOVA analysis followed by the Kruskal–Wallis post hoc test. The values p < 0.01 (**) or p < 0.001 (***) were considered significant. Data are from 3 controls, 5 decliners, and 5 improvers. Scale bars: 5 μm. (D) Increased channel pressure was measured using a hemostatic blood flow at arterial pressure test.

    Techniques Used: Activation Assay, Clinical Proteomics, Control, Labeling, Microscopy, Software



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    Quorum Technologies volocity® imaging software suite
    Proteins that correlated with sleep or maximal aerobic capacity and platelet activation. (A) Metabolites that correlated with a fitness outcome. Dark red lines indicate that the higher abundance of the metabolite is correlated with a lower maximal oxygen uptake ( V ˙ O 2 max). (B) Proteins from the sparse partial least squares discriminant analysis (sPLS‐DA) that were significantly correlated with self‐reported sleep duration, sleep latency, sleep efficiency, global score from the Pittsburgh Sleep Quality Index (PSQI), and relative maximal aerobic capacity. Dark blue lines indicate higher abundances of the protein were correlated with increased sleep efficient PSQI and V ˙ O 2 max. Dark red lines indicate higher abundances of the protein were correlated with decreased hours of sleep. (C) Citrated platelet‐rich plasma from healthy control participant were labeled with fluorescent markers as shown, recalcified to 1 mmol/l calcium, spiked with plasma (20% v/v) from cohorts of improvers and decliners, and allowed to adhere to bovine serum albumin‐coated surfaces. Extended‐focus images are typical merged fields of view at the 45‐minute timepoint. The yellow arrow points to a ballooned and procoagulant platelet in the decliner view. Images were captured at Nyquist using a Nikon A1R laser scanning confocal microscope (objective magnification, ×60) and analyzed using <t>Volocity®</t> Software (Quorum Technologies, Puslinch, ON, Canada). Mean intensity data were tested for normality using the Shapiro–Wilk test ( p < 0.05), and presented as box‐and‐whiskers plots showing minimum to maximum values. The medians and interquartile ranges of data are represented by the horizontal line through the box and the height of the box, respectively. Data were then analyzed using GraphPad Prism 9.3 (San Diego, CA, USA), and statistical significance was determined by 1‐way ANOVA analysis followed by the Kruskal–Wallis post hoc test. The values p < 0.01 (**) or p < 0.001 (***) were considered significant. Data are from 3 controls, 5 decliners, and 5 improvers. Scale bars: 5 μm. (D) Increased channel pressure was measured using a hemostatic blood flow at arterial pressure test.
    Volocity® Imaging Software Suite, supplied by Quorum Technologies, 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/product/volocity%C2%AE+imaging+software+suite/pmc12010053-143-10-20?v=Quorum+Technologies
    Average 90 stars, based on 1 article reviews
    volocity® imaging software suite - by Bioz Stars, 2026-07
    90/100 stars
      Buy from Supplier

    90
    Quorum Technologies volocity imaging software suite
    Proteins that correlated with sleep or maximal aerobic capacity and platelet activation. (A) Metabolites that correlated with a fitness outcome. Dark red lines indicate that the higher abundance of the metabolite is correlated with a lower maximal oxygen uptake ( V ˙ O 2 max). (B) Proteins from the sparse partial least squares discriminant analysis (sPLS‐DA) that were significantly correlated with self‐reported sleep duration, sleep latency, sleep efficiency, global score from the Pittsburgh Sleep Quality Index (PSQI), and relative maximal aerobic capacity. Dark blue lines indicate higher abundances of the protein were correlated with increased sleep efficient PSQI and V ˙ O 2 max. Dark red lines indicate higher abundances of the protein were correlated with decreased hours of sleep. (C) Citrated platelet‐rich plasma from healthy control participant were labeled with fluorescent markers as shown, recalcified to 1 mmol/l calcium, spiked with plasma (20% v/v) from cohorts of improvers and decliners, and allowed to adhere to bovine serum albumin‐coated surfaces. Extended‐focus images are typical merged fields of view at the 45‐minute timepoint. The yellow arrow points to a ballooned and procoagulant platelet in the decliner view. Images were captured at Nyquist using a Nikon A1R laser scanning confocal microscope (objective magnification, ×60) and analyzed using <t>Volocity®</t> Software (Quorum Technologies, Puslinch, ON, Canada). Mean intensity data were tested for normality using the Shapiro–Wilk test ( p < 0.05), and presented as box‐and‐whiskers plots showing minimum to maximum values. The medians and interquartile ranges of data are represented by the horizontal line through the box and the height of the box, respectively. Data were then analyzed using GraphPad Prism 9.3 (San Diego, CA, USA), and statistical significance was determined by 1‐way ANOVA analysis followed by the Kruskal–Wallis post hoc test. The values p < 0.01 (**) or p < 0.001 (***) were considered significant. Data are from 3 controls, 5 decliners, and 5 improvers. Scale bars: 5 μm. (D) Increased channel pressure was measured using a hemostatic blood flow at arterial pressure test.
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    Proteins that correlated with sleep or maximal aerobic capacity and platelet activation. (A) Metabolites that correlated with a fitness outcome. Dark red lines indicate that the higher abundance of the metabolite is correlated with a lower maximal oxygen uptake ( V ˙ O 2 max). (B) Proteins from the sparse partial least squares discriminant analysis (sPLS‐DA) that were significantly correlated with self‐reported sleep duration, sleep latency, sleep efficiency, global score from the Pittsburgh Sleep Quality Index (PSQI), and relative maximal aerobic capacity. Dark blue lines indicate higher abundances of the protein were correlated with increased sleep efficient PSQI and V ˙ O 2 max. Dark red lines indicate higher abundances of the protein were correlated with decreased hours of sleep. (C) Citrated platelet‐rich plasma from healthy control participant were labeled with fluorescent markers as shown, recalcified to 1 mmol/l calcium, spiked with plasma (20% v/v) from cohorts of improvers and decliners, and allowed to adhere to bovine serum albumin‐coated surfaces. Extended‐focus images are typical merged fields of view at the 45‐minute timepoint. The yellow arrow points to a ballooned and procoagulant platelet in the decliner view. Images were captured at Nyquist using a Nikon A1R laser scanning confocal microscope (objective magnification, ×60) and analyzed using <t>Volocity®</t> Software (Quorum Technologies, Puslinch, ON, Canada). Mean intensity data were tested for normality using the Shapiro–Wilk test ( p < 0.05), and presented as box‐and‐whiskers plots showing minimum to maximum values. The medians and interquartile ranges of data are represented by the horizontal line through the box and the height of the box, respectively. Data were then analyzed using GraphPad Prism 9.3 (San Diego, CA, USA), and statistical significance was determined by 1‐way ANOVA analysis followed by the Kruskal–Wallis post hoc test. The values p < 0.01 (**) or p < 0.001 (***) were considered significant. Data are from 3 controls, 5 decliners, and 5 improvers. Scale bars: 5 μm. (D) Increased channel pressure was measured using a hemostatic blood flow at arterial pressure test.
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    volocity imaging software suite 6.5 - by Bioz Stars, 2026-07
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    Image Search Results


    Proteins that correlated with sleep or maximal aerobic capacity and platelet activation. (A) Metabolites that correlated with a fitness outcome. Dark red lines indicate that the higher abundance of the metabolite is correlated with a lower maximal oxygen uptake ( V ˙ O 2 max). (B) Proteins from the sparse partial least squares discriminant analysis (sPLS‐DA) that were significantly correlated with self‐reported sleep duration, sleep latency, sleep efficiency, global score from the Pittsburgh Sleep Quality Index (PSQI), and relative maximal aerobic capacity. Dark blue lines indicate higher abundances of the protein were correlated with increased sleep efficient PSQI and V ˙ O 2 max. Dark red lines indicate higher abundances of the protein were correlated with decreased hours of sleep. (C) Citrated platelet‐rich plasma from healthy control participant were labeled with fluorescent markers as shown, recalcified to 1 mmol/l calcium, spiked with plasma (20% v/v) from cohorts of improvers and decliners, and allowed to adhere to bovine serum albumin‐coated surfaces. Extended‐focus images are typical merged fields of view at the 45‐minute timepoint. The yellow arrow points to a ballooned and procoagulant platelet in the decliner view. Images were captured at Nyquist using a Nikon A1R laser scanning confocal microscope (objective magnification, ×60) and analyzed using Volocity® Software (Quorum Technologies, Puslinch, ON, Canada). Mean intensity data were tested for normality using the Shapiro–Wilk test ( p < 0.05), and presented as box‐and‐whiskers plots showing minimum to maximum values. The medians and interquartile ranges of data are represented by the horizontal line through the box and the height of the box, respectively. Data were then analyzed using GraphPad Prism 9.3 (San Diego, CA, USA), and statistical significance was determined by 1‐way ANOVA analysis followed by the Kruskal–Wallis post hoc test. The values p < 0.01 (**) or p < 0.001 (***) were considered significant. Data are from 3 controls, 5 decliners, and 5 improvers. Scale bars: 5 μm. (D) Increased channel pressure was measured using a hemostatic blood flow at arterial pressure test.

    Journal: Annals of Neurology

    Article Title: Longitudinal Proteomic Profiling of Cognition across an Aerobic Exercise Intervention

    doi: 10.1002/ana.27210

    Figure Lengend Snippet: Proteins that correlated with sleep or maximal aerobic capacity and platelet activation. (A) Metabolites that correlated with a fitness outcome. Dark red lines indicate that the higher abundance of the metabolite is correlated with a lower maximal oxygen uptake ( V ˙ O 2 max). (B) Proteins from the sparse partial least squares discriminant analysis (sPLS‐DA) that were significantly correlated with self‐reported sleep duration, sleep latency, sleep efficiency, global score from the Pittsburgh Sleep Quality Index (PSQI), and relative maximal aerobic capacity. Dark blue lines indicate higher abundances of the protein were correlated with increased sleep efficient PSQI and V ˙ O 2 max. Dark red lines indicate higher abundances of the protein were correlated with decreased hours of sleep. (C) Citrated platelet‐rich plasma from healthy control participant were labeled with fluorescent markers as shown, recalcified to 1 mmol/l calcium, spiked with plasma (20% v/v) from cohorts of improvers and decliners, and allowed to adhere to bovine serum albumin‐coated surfaces. Extended‐focus images are typical merged fields of view at the 45‐minute timepoint. The yellow arrow points to a ballooned and procoagulant platelet in the decliner view. Images were captured at Nyquist using a Nikon A1R laser scanning confocal microscope (objective magnification, ×60) and analyzed using Volocity® Software (Quorum Technologies, Puslinch, ON, Canada). Mean intensity data were tested for normality using the Shapiro–Wilk test ( p < 0.05), and presented as box‐and‐whiskers plots showing minimum to maximum values. The medians and interquartile ranges of data are represented by the horizontal line through the box and the height of the box, respectively. Data were then analyzed using GraphPad Prism 9.3 (San Diego, CA, USA), and statistical significance was determined by 1‐way ANOVA analysis followed by the Kruskal–Wallis post hoc test. The values p < 0.01 (**) or p < 0.001 (***) were considered significant. Data are from 3 controls, 5 decliners, and 5 improvers. Scale bars: 5 μm. (D) Increased channel pressure was measured using a hemostatic blood flow at arterial pressure test.

    Article Snippet: Image resolution was improved by the restoration complement of the Volocity® imaging Software Suite and analyzed using the same software (Quorum Technologies, Puslinch, ON, Canada).

    Techniques: Activation Assay, Clinical Proteomics, Control, Labeling, Microscopy, Software