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jpeg formatted images  (Optovue)

 
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    Structured Review

    Optovue jpeg formatted images
    A. All <t>Jpeg</t> formatted images were extracted from <t>the</t> <t>Optovue</t> HD device and analysed using ImageJ software in its FIJI version. All the images were cropped to remove the square logo in the bottom left corner. B. To compensate for the misalignment due to eye motion, an image registration was performed: first, a linear registration was performed to align the 5 images, and then an elastic registration was applied to correct for deformations due to the spherical conformation of the eyes. C. After alignment, all the first non-averaged images acquired and all averaged images were divided into 9 identical boxes composed of nine 172x172 pixel squares (composed of about 29,500 pixels), for semi-quantitative grading.
    Jpeg Formatted Images, supplied by Optovue, 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/jpeg formatted images/product/Optovue
    Average 90 stars, based on 1 article reviews
    jpeg formatted images - by Bioz Stars, 2026-06
    90/100 stars

    Images

    1) Product Images from "Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes"

    Article Title: Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes

    Journal: PLoS ONE

    doi: 10.1371/journal.pone.0257859

    A. All Jpeg formatted images were extracted from the Optovue HD device and analysed using ImageJ software in its FIJI version. All the images were cropped to remove the square logo in the bottom left corner. B. To compensate for the misalignment due to eye motion, an image registration was performed: first, a linear registration was performed to align the 5 images, and then an elastic registration was applied to correct for deformations due to the spherical conformation of the eyes. C. After alignment, all the first non-averaged images acquired and all averaged images were divided into 9 identical boxes composed of nine 172x172 pixel squares (composed of about 29,500 pixels), for semi-quantitative grading.
    Figure Legend Snippet: A. All Jpeg formatted images were extracted from the Optovue HD device and analysed using ImageJ software in its FIJI version. All the images were cropped to remove the square logo in the bottom left corner. B. To compensate for the misalignment due to eye motion, an image registration was performed: first, a linear registration was performed to align the 5 images, and then an elastic registration was applied to correct for deformations due to the spherical conformation of the eyes. C. After alignment, all the first non-averaged images acquired and all averaged images were divided into 9 identical boxes composed of nine 172x172 pixel squares (composed of about 29,500 pixels), for semi-quantitative grading.

    Techniques Used: Software



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    A. All <t>Jpeg</t> formatted images were extracted from <t>the</t> <t>Optovue</t> HD device and analysed using ImageJ software in its FIJI version. All the images were cropped to remove the square logo in the bottom left corner. B. To compensate for the misalignment due to eye motion, an image registration was performed: first, a linear registration was performed to align the 5 images, and then an elastic registration was applied to correct for deformations due to the spherical conformation of the eyes. C. After alignment, all the first non-averaged images acquired and all averaged images were divided into 9 identical boxes composed of nine 172x172 pixel squares (composed of about 29,500 pixels), for semi-quantitative grading.
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    Image Search Results


    A. All Jpeg formatted images were extracted from the Optovue HD device and analysed using ImageJ software in its FIJI version. All the images were cropped to remove the square logo in the bottom left corner. B. To compensate for the misalignment due to eye motion, an image registration was performed: first, a linear registration was performed to align the 5 images, and then an elastic registration was applied to correct for deformations due to the spherical conformation of the eyes. C. After alignment, all the first non-averaged images acquired and all averaged images were divided into 9 identical boxes composed of nine 172x172 pixel squares (composed of about 29,500 pixels), for semi-quantitative grading.

    Journal: PLoS ONE

    Article Title: Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes

    doi: 10.1371/journal.pone.0257859

    Figure Lengend Snippet: A. All Jpeg formatted images were extracted from the Optovue HD device and analysed using ImageJ software in its FIJI version. All the images were cropped to remove the square logo in the bottom left corner. B. To compensate for the misalignment due to eye motion, an image registration was performed: first, a linear registration was performed to align the 5 images, and then an elastic registration was applied to correct for deformations due to the spherical conformation of the eyes. C. After alignment, all the first non-averaged images acquired and all averaged images were divided into 9 identical boxes composed of nine 172x172 pixel squares (composed of about 29,500 pixels), for semi-quantitative grading.

    Article Snippet: Briefly, all Jpeg formatted images of the SVP and DVC were extracted from the Optovue HD device and analysed using ImageJ software in its FIJI version.

    Techniques: Software