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    MathWorks Inc pearson correlation coefficient matlab function
    Pearson Correlation Coefficient Matlab Function, 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/correlation+coefficient+function/pm38662736-278-9-12
    Average 90 stars, based on 1 article reviews
    pearson correlation coefficient matlab function - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness
    Article Snippet: The relationships between the processed signals were then calculated using the Pearson correlation coefficient (r) with MATLAB (see and ).

    Article Title: Vegetation monitoring in mining area using canopy reflectance and landsat8 oli image
    Article Snippet: From the above figure, the linear correlation is not so obvious that it is not easy to make a judgment, and the general view is that the correlation is weak, so the next operation of the correlation coefficient is indispensable. (2) Calculation of Pearson correlation coefficient and significance by MATLAB The correlation coefficient between CSVI of 12 images and CSVI of hyperspectral image obtained in MATLAB is shown in Table 4.

    Article Title: Noninvasive estimation of internal spinal alignment in patients with adolescent idiopathic scoliosis using PCdare and back shape asymmetry
    Article Snippet: The Pearson correlation coefficient (corrcoef MATLAB function) was calculated between asymmetry indices and rCAs in an upright standing position manually annotated by a board-certified spine surgeon in PACS (MERLIN Diagnostic Workcenter, Version 7.1, Phönix-PACS GmbH, Freiburg im Breisgau, Germany).

    Article Title: Harmful algal bloom prediction using empirical dynamic modeling.
    Article Snippet: • Chlorophyll-a concentration is a key in-

    Article Title: Dynamics of ammonia-oxidizing microorganisms in gradient temperature-regulated reactors under low ammonia loading condition.
    Article Snippet: Ammonia-oxidizing microorganisms (AOMs) play a crucial role in nitrogen removal in engineered systems.. However, temperature fluctuations can lead to ammonia oxidation failure.. This study investigated the effects of a broad temperature range (10.5, 14, 17.5, 21, 26.4, 35, 38.5, 42, and 45.5 C) on the distribution of ammoniaoxidizing archaea (AOA), ammonia-oxidizing bacteria (AOB), and comammox together with Nitrospira and Nitrobacter in gradient temperature-regulated reactors operated under low ammonia loading condition.

    Article Title: Bridging circuit modeling and signal analysis to understand the risk of crosstalk contamination in brain recordings
    Article Snippet: Signal correlation, defined as a normalized measure of the similarity of two time-dependent signals, was calculated as the Pearson correlation coefficient (function corrcoef in MATLAB).

    Article Title: Noninvasive estimation of internal spinal alignment in patients with adolescent idiopathic scoliosis using PCdare and back shape asymmetry.
    Article Snippet: Comparison with clinical gold standard The Pearson correlation coefficient (corrcoef MATLAB function) was calculated between asymmetry indices and rCAs in an upright standing position manually annotated by a board-certified spine surgeon in PACS (MERLIN Diagnostic Workcenter, Version 7.1, Phönix-PACS GmbH, Freiburg im Breisgau, Germany).

    Article Title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness.
    Article Snippet: Article Slow and fast cortical chol inergic arousal is reduced in a mouse model of focal seizures with impaired consciousness

    Diagnostic Assay:

    Article Title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness
    Article Snippet: The relationships between the processed signals were then calculated using the Pearson correlation coefficient (r) with MATLAB (see and ).

    Article Title: Vegetation monitoring in mining area using canopy reflectance and landsat8 oli image
    Article Snippet: From the above figure, the linear correlation is not so obvious that it is not easy to make a judgment, and the general view is that the correlation is weak, so the next operation of the correlation coefficient is indispensable. (2) Calculation of Pearson correlation coefficient and significance by MATLAB The correlation coefficient between CSVI of 12 images and CSVI of hyperspectral image obtained in MATLAB is shown in Table 4.

    Article Title: Noninvasive estimation of internal spinal alignment in patients with adolescent idiopathic scoliosis using PCdare and back shape asymmetry
    Article Snippet: The Pearson correlation coefficient (corrcoef MATLAB function) was calculated between asymmetry indices and rCAs in an upright standing position manually annotated by a board-certified spine surgeon in PACS (MERLIN Diagnostic Workcenter, Version 7.1, Phönix-PACS GmbH, Freiburg im Breisgau, Germany).

    Article Title: Harmful algal bloom prediction using empirical dynamic modeling.
    Article Snippet: • Chlorophyll-a concentration is a key in-

    Article Title: Dynamics of ammonia-oxidizing microorganisms in gradient temperature-regulated reactors under low ammonia loading condition.
    Article Snippet: Ammonia-oxidizing microorganisms (AOMs) play a crucial role in nitrogen removal in engineered systems.. However, temperature fluctuations can lead to ammonia oxidation failure.. This study investigated the effects of a broad temperature range (10.5, 14, 17.5, 21, 26.4, 35, 38.5, 42, and 45.5 C) on the distribution of ammoniaoxidizing archaea (AOA), ammonia-oxidizing bacteria (AOB), and comammox together with Nitrospira and Nitrobacter in gradient temperature-regulated reactors operated under low ammonia loading condition.

    Article Title: Bridging circuit modeling and signal analysis to understand the risk of crosstalk contamination in brain recordings
    Article Snippet: Signal correlation, defined as a normalized measure of the similarity of two time-dependent signals, was calculated as the Pearson correlation coefficient (function corrcoef in MATLAB).

    Article Title: Noninvasive estimation of internal spinal alignment in patients with adolescent idiopathic scoliosis using PCdare and back shape asymmetry.
    Article Snippet: Comparison with clinical gold standard The Pearson correlation coefficient (corrcoef MATLAB function) was calculated between asymmetry indices and rCAs in an upright standing position manually annotated by a board-certified spine surgeon in PACS (MERLIN Diagnostic Workcenter, Version 7.1, Phönix-PACS GmbH, Freiburg im Breisgau, Germany).

    Article Title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness.
    Article Snippet: Article Slow and fast cortical chol inergic arousal is reduced in a mouse model of focal seizures with impaired consciousness



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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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    (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