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toolbox pivlab gui thielicke  (MathWorks Inc)


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    Structured Review

    MathWorks Inc toolbox pivlab gui thielicke
    Toolbox Pivlab Gui Thielicke, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2947 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/processing+gui/Image+Processing+Toolbox/ppr0832234-161-19-18
    Average 96 stars, based on 2947 article reviews
    toolbox pivlab gui thielicke - by Bioz Stars, 2026-10
    96/100 stars

    Images

    Related Articles

    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.

    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.

    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.

    Analysis:

    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.

    Microscopy:

    Article Title: Rapid coral bleaching recovery via symbiont transfer from healthy corals.
    Article Snippet: .. Microscope images of coral pairs were manually segmented using MATLAB’s Image Processing Toolbox (Reference MALTAB R2024b) using the draw polygon function. ..



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    (A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
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    Image Search Results


    (A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) Graphical User Interface (GUI) is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.

    Journal: Human Brain Mapping

    Article Title: The Influence of Structural Brain Changes on Cognition in the Context of Healthy Aging: Exploring Mediation Effects Through gBAT —The Graphical Brain Association Tool

    doi: 10.1002/hbm.70038

    Figure Lengend Snippet: (A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) Graphical User Interface (GUI) is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.

    Article Snippet: The GUI leverages MATLAB's Image Processing Toolbox for efficient loading and processing of neuroimaging data.

    Techniques: