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custom-developed algorithms  (MathWorks Inc)


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    MathWorks Inc custom-developed algorithms
    Custom Developed Algorithms, 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/product/custom-developed+algorithms/pmc12163178-107-12-13
    Average 90 stars, based on 1 article reviews
    custom-developed algorithms - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Estimation of the End of Ejection in Aortic Stenosis
    Article Snippet: Signal processing was performed with the use of custom-developed algorithms in Matlab (version 6.2, The Mathworks, Inc).

    Article Title: Dataset on droplet spreading and rebound behavior of water and viscous water-glycerol mixtures on superhydrophobic surfaces with laser-made channels
    Article Snippet: Post-processing of the captured data was performed using custom-developed algorithms in the MathWorks MATLAB environment.

    Article Title: Dataset on droplet spreading and rebound behavior of water and viscous water-glycerol mixtures on superhydrophobic surfaces with laser-made channels
    Article Snippet: Processing of the videos was performed using custom-developed algorithms in MathWorks MATLAB environment.

    Article Title: Hand2 delineates mesothelium progenitors and is reactivated in mesothelioma
    Article Snippet: All pre-processing steps and map projection were performed using custom-developed algorithms in MATLAB.

    Article Title: Characterization of geometric variance in the epithelial nerve net of the ctenophore Pleurobrachia pileus.
    Article Snippet: A semiautomated segmentation system was developed to isolate and define the nerve net architecture in the acquired images using customdeveloped algorithms in Matlab (The MathWorks, Natick, MA).

    Article Title: Osteoarthritis severity of the hip by computer-aided grading of radiographic images.
    Article Snippet: A computer-aided classification system was developed for the assessment of the severity of hip osteoarthritis (OA) .. Sixty-four radiographic images of normal and osteoarthritic hips were digitized and enhanced.. Employing the Kellgren and Lawrence scale, the hips were grouped by three experienced orthopaedists into three OA-severity categories: Normal, Mild/Moderate and Severe.



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    EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined <t>Matlab</t> and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.
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    EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined <t>Matlab</t> and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.
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    EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined Matlab and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.

    Journal: bioRxiv

    Article Title: Disturbed Flow Induces Reprogramming of Endothelial Cells to Immune-like and Foam Cells under Hypercholesterolemia during Atherogenesis

    doi: 10.1101/2025.03.06.641843

    Figure Lengend Snippet: EC-Confetti mice treated with d-flow and hypercholesterolemia at 4 weeks post-PCL (N=6 male and 15 female) were imaged macroscopically ( A ) and LCAs/RCAs were longitudinally sectioned, stained, imaged by fluorescence microscopy ( B-R ), and quantified ( S-V ). A shows representative gross image of LCA, RCA, and aortic arch. B-R . LCAs and RCAs were immunostained with markers of endothelial inflammation (Vcam1 and Icam1, B-D ); EndMT (Acta2, Snai1, and Cnn1, E-H ); EndIT (Cd68, C1qa, C1qb, and Lyz2, I-M ); and EndFT (Spp1, Lgals3, Trem2, and BODIPY, N-R ). B, E, I, and N show merged images of confetti and FIRE markers at low magnification (10X), while the rest show 40X images. Confetti signals show eGFP (green), YFP (green), and RFP (red). All FIRE markers are shown in white except for green BODIPY ( R ). White arrows indicate confetti + ECs co-expressing the FIRE markers. S-V. Percent confetti + ECs co-expressing each FIRE marker was quantified by a combined Matlab and ImageJ analysis. Confetti + ECs expressing markers of inflammation (Icam1 and Vcam1, S ); EndMT (Acta2, Cnn1, and Snai1, T ); EndIT (C1qa, C1qb, Lyz2, and Cd68, U ); and EndFT (Lgals3, Trem2, and Spp1, V ). Shown are mean ± SEM, each dot represents % of confetti + ECs coexpressing FIRE markers in each longitudinal section used for quantification (N=4 to 10 longitudinal sections for RCA; N=6 to 31 longitudinal sections for LCA). P values were calculated by 2-tailed unpaired Student t test with or without Welch’s correction for normal data and 2-tailed unpaired Mann-Whitney U test for non-normal data.

    Article Snippet: To determine the proportion of confetti + ECs undergoing FIRE, multi-level image thresholding was performed via combined use of custom-developed MATLAB algorithms and ImageJ .

    Techniques: Staining, Fluorescence, Microscopy, Expressing, Marker, MANN-WHITNEY