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2d correlation coefficient  (MathWorks Inc)


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    MathWorks Inc 2d correlation coefficient
    2d Correlation Coefficient, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2932 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/correlation+coefficient+function/Image+Processing+Toolbox/pmc05807854-336-17-29
    Average 96 stars, based on 2932 article reviews
    2d correlation coefficient - by Bioz Stars, 2026-10
    96/100 stars

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    Fluorescence:

    Article Title: Multimodal Mapping of Cranial Sutures Guides Application of an MMP13-Inhibiting Hydrogel Patch to Restore Asymmetric Mineralization and Prevent Craniosynostosis.
    Article Snippet: .. Highresolution fluorescence images for Ca, P, O, Si, N, and C were acquired, followed by intensity quantification and normalization in MATLAB (Image Processing Toolbox). ..

    Article Title: CaMKII monomers are sufficient for GluN2B binding, co-condensation, and synaptic potentiation.
    Article Snippet: .. Time-lapse imaging and analysis of CaMKII puncta fusion and fission Time-lapse fluorescence movies were acquired as single-channel (CaMKII) 2D TIFF stacks at ∼15.7 s intervals and analyzed in MATLAB (MathWorks) using the Image Processing Toolbox. .. The overall particle detection and linking strategy was conceptually adapted from the Fiji TrackMate framework (Tinevez et al.68 and Ershov et al.69) but implemented here in a custom MATLAB pipeline.

    Imaging:

    Article Title: Hepatic HIF2α Modulates Extra‐Hepatic Disease‐Associated Phenotypes During Metabolic Dysfunction‐Associated Steatotic Liver Disease
    Article Snippet: Images were captured at ×20 magnification with a VS200 Research Slide Scanner (Olympus) using Slideview 5.0, imported to QuPath v0.5.1 and converted into RGB files. .. ImageJ (v.1.45 g) was used to perform background correction before importing the images into MATLAB (MATLAB and Imaging Processing Toolbox 2024a, MathWorks). .. The SMASH toolbox (GitHub—SMASHtoolbox/Release: Version 1.0 of the SMASH Toolbox, n.d.) was used to perform segmentation and fiber type analysis in MATLAB.

    Article Title: CaMKII monomers are sufficient for GluN2B binding, co-condensation, and synaptic potentiation.
    Article Snippet: .. Time-lapse imaging and analysis of CaMKII puncta fusion and fission Time-lapse fluorescence movies were acquired as single-channel (CaMKII) 2D TIFF stacks at ∼15.7 s intervals and analyzed in MATLAB (MathWorks) using the Image Processing Toolbox. .. The overall particle detection and linking strategy was conceptually adapted from the Fiji TrackMate framework (Tinevez et al.68 and Ershov et al.69) but implemented here in a custom MATLAB pipeline.

    Automated:

    Article Title: Impact of tranexamic acid on visualization in full endoscopic spine surgery: a randomized controlled trial
    Article Snippet: .. Automated Video-Based Analysis All surgical videos were reviewed using an automated image-processing pipeline developed in MATLAB (version R2026a). ..

    Analysis:

    Article Title: Impact of tranexamic acid on visualization in full endoscopic spine surgery: a randomized controlled trial
    Article Snippet: .. Automated Video-Based Analysis All surgical videos were reviewed using an automated image-processing pipeline developed in MATLAB (version R2026a). ..

    Article Title: CaMKII monomers are sufficient for GluN2B binding, co-condensation, and synaptic potentiation.
    Article Snippet: .. Time-lapse imaging and analysis of CaMKII puncta fusion and fission Time-lapse fluorescence movies were acquired as single-channel (CaMKII) 2D TIFF stacks at ∼15.7 s intervals and analyzed in MATLAB (MathWorks) using the Image Processing Toolbox. .. The overall particle detection and linking strategy was conceptually adapted from the Fiji TrackMate framework (Tinevez et al.68 and Ershov et al.69) but implemented here in a custom MATLAB pipeline.

    Magnetic Resonance Imaging:

    Article Title: Preoperative Prediction of Ductal Carcinoma In Situ Upstaging Using Machine Learning-Based Peritumoral Breast MRI Radiomics.
    Article Snippet: Background: A subset of biopsyconfirmed ductal carcinoma in situ (DCIS) cases can be upstaged to invasive breast cancer at surgery.. Preoperative identification of upstaging risk is essential for treatment planning.. Purpose: To develop clinical and breast MRI radiomics models to preoperatively predict upstaging in DCIS.

    Sequencing:

    Article Title: Preoperative Prediction of Ductal Carcinoma In Situ Upstaging Using Machine Learning-Based Peritumoral Breast MRI Radiomics.
    Article Snippet: Background: A subset of biopsyconfirmed ductal carcinoma in situ (DCIS) cases can be upstaged to invasive breast cancer at surgery.. Preoperative identification of upstaging risk is essential for treatment planning.. Purpose: To develop clinical and breast MRI radiomics models to preoperatively predict upstaging in DCIS.



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    (a-c) Example Voltron2 fluorescence images under targeted illumination with confocal slit width set to 4.5, 22.5, and 156 µm. Scale bar 50 µm. (d) Voltron2 fluorescence image over the same FOV but acquired without targeted illumination and with a confocal slit width of 156 µm. TI, targeted illumination. Scale bar 50 µm. (e,h,i) Comparison of spike Δ F / F , spike detection fidelity d ′ , and spike SNR measured with targeted illumination and confocal slit widths of 4.5, 11.3, 22.5, and 156 µm (n = 30 cells from 6 FOVs, 2 mice). Box plots: box, 25th (Q1, bottom line) to 75 th (Q3, top line) percentiles; whiskers, Q 1 − 1.5 × I Q R to Q 3 + 1.5 × I Q R , where I Q R = Q 3 − Q 1 ; middle line, median (m); notch, from m − 1.57 × I Q R / n to m + 1.57 × I Q R / n ; dots, measurement points. p < 0.05, p < 0.01, p < 0.001, no label if p ≥ 0.05, pairwise Wilcoxon signed-rank test, see for statistics. (f,g,j) Comparison of spike Δ F / F , photobleaching rate, and spike SNR measured with and without targeted illumination when using a 14 µm confocal slit. For (f,j), n = 19 cells from 5 FOVs, 2 mice. For (g), n = 92 cells from 5 FOVs, 2 mice. (l,m,n) Example images (scale bar, 20 µm) and corresponding fluorescence traces from two neighboring neurons with targeted illumination and confocal slit widths of 4.5, 22.5, and 156 µm (from top to bottom). Gray line, fluorescence traces; red line, extracted subthreshold Vm traces; r, <t>Pearson</t> cross-correlation coefficient between the subthreshold Vm traces from the 2 neurons.
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    (a-c) Example Voltron2 fluorescence images under targeted illumination with confocal slit width set to 4.5, 22.5, and 156 µm. Scale bar 50 µm. (d) Voltron2 fluorescence image over the same FOV but acquired without targeted illumination and with a confocal slit width of 156 µm. TI, targeted illumination. Scale bar 50 µm. (e,h,i) Comparison of spike Δ F / F , spike detection fidelity d ′ , and spike SNR measured with targeted illumination and confocal slit widths of 4.5, 11.3, 22.5, and 156 µm (n = 30 cells from 6 FOVs, 2 mice). Box plots: box, 25th (Q1, bottom line) to 75 th (Q3, top line) percentiles; whiskers, Q 1 − 1.5 × I Q R to Q 3 + 1.5 × I Q R , where I Q R = Q 3 − Q 1 ; middle line, median (m); notch, from m − 1.57 × I Q R / n to m + 1.57 × I Q R / n ; dots, measurement points. p < 0.05, p < 0.01, p < 0.001, no label if p ≥ 0.05, pairwise Wilcoxon signed-rank test, see for statistics. (f,g,j) Comparison of spike Δ F / F , photobleaching rate, and spike SNR measured with and without targeted illumination when using a 14 µm confocal slit. For (f,j), n = 19 cells from 5 FOVs, 2 mice. For (g), n = 92 cells from 5 FOVs, 2 mice. (l,m,n) Example images (scale bar, 20 µm) and corresponding fluorescence traces from two neighboring neurons with targeted illumination and confocal slit widths of 4.5, 22.5, and 156 µm (from top to bottom). Gray line, fluorescence traces; red line, extracted subthreshold Vm traces; r, <t>Pearson</t> cross-correlation coefficient between the subthreshold Vm traces from the 2 neurons.
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    Image Search Results


    (a-c) Example Voltron2 fluorescence images under targeted illumination with confocal slit width set to 4.5, 22.5, and 156 µm. Scale bar 50 µm. (d) Voltron2 fluorescence image over the same FOV but acquired without targeted illumination and with a confocal slit width of 156 µm. TI, targeted illumination. Scale bar 50 µm. (e,h,i) Comparison of spike Δ F / F , spike detection fidelity d ′ , and spike SNR measured with targeted illumination and confocal slit widths of 4.5, 11.3, 22.5, and 156 µm (n = 30 cells from 6 FOVs, 2 mice). Box plots: box, 25th (Q1, bottom line) to 75 th (Q3, top line) percentiles; whiskers, Q 1 − 1.5 × I Q R to Q 3 + 1.5 × I Q R , where I Q R = Q 3 − Q 1 ; middle line, median (m); notch, from m − 1.57 × I Q R / n to m + 1.57 × I Q R / n ; dots, measurement points. p < 0.05, p < 0.01, p < 0.001, no label if p ≥ 0.05, pairwise Wilcoxon signed-rank test, see for statistics. (f,g,j) Comparison of spike Δ F / F , photobleaching rate, and spike SNR measured with and without targeted illumination when using a 14 µm confocal slit. For (f,j), n = 19 cells from 5 FOVs, 2 mice. For (g), n = 92 cells from 5 FOVs, 2 mice. (l,m,n) Example images (scale bar, 20 µm) and corresponding fluorescence traces from two neighboring neurons with targeted illumination and confocal slit widths of 4.5, 22.5, and 156 µm (from top to bottom). Gray line, fluorescence traces; red line, extracted subthreshold Vm traces; r, Pearson cross-correlation coefficient between the subthreshold Vm traces from the 2 neurons.

    Journal: bioRxiv

    Article Title: Large-scale deep tissue voltage imaging with targeted illumination confocal microscopy

    doi: 10.1101/2023.07.21.548930

    Figure Lengend Snippet: (a-c) Example Voltron2 fluorescence images under targeted illumination with confocal slit width set to 4.5, 22.5, and 156 µm. Scale bar 50 µm. (d) Voltron2 fluorescence image over the same FOV but acquired without targeted illumination and with a confocal slit width of 156 µm. TI, targeted illumination. Scale bar 50 µm. (e,h,i) Comparison of spike Δ F / F , spike detection fidelity d ′ , and spike SNR measured with targeted illumination and confocal slit widths of 4.5, 11.3, 22.5, and 156 µm (n = 30 cells from 6 FOVs, 2 mice). Box plots: box, 25th (Q1, bottom line) to 75 th (Q3, top line) percentiles; whiskers, Q 1 − 1.5 × I Q R to Q 3 + 1.5 × I Q R , where I Q R = Q 3 − Q 1 ; middle line, median (m); notch, from m − 1.57 × I Q R / n to m + 1.57 × I Q R / n ; dots, measurement points. p < 0.05, p < 0.01, p < 0.001, no label if p ≥ 0.05, pairwise Wilcoxon signed-rank test, see for statistics. (f,g,j) Comparison of spike Δ F / F , photobleaching rate, and spike SNR measured with and without targeted illumination when using a 14 µm confocal slit. For (f,j), n = 19 cells from 5 FOVs, 2 mice. For (g), n = 92 cells from 5 FOVs, 2 mice. (l,m,n) Example images (scale bar, 20 µm) and corresponding fluorescence traces from two neighboring neurons with targeted illumination and confocal slit widths of 4.5, 22.5, and 156 µm (from top to bottom). Gray line, fluorescence traces; red line, extracted subthreshold Vm traces; r, Pearson cross-correlation coefficient between the subthreshold Vm traces from the 2 neurons.

    Article Snippet: To analyze Vm-Vm correlations, we calculated Pearson cross-correlation coefficients (Matlab function corrcoef ) for the extracted subthreshold traces F s u b t from pairs of neurons.

    Techniques: Fluorescence, Comparison, IF-P