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kernel density estimation (kde)  (CH Instruments)

 
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    CH Instruments kernel density estimation (kde)
    . Stoichiometry of SpoIIE in the mother cell. <t>Kernel</t> <t>density</t> <t>estimation</t> <t>(KDE)</t> of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
    Kernel Density Estimation (Kde), supplied by CH Instruments, 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/kernel+density+estimation/pmc07327415-195-0-26?v=CH+Instruments
    Average 90 stars, based on 1 article reviews
    kernel density estimation (kde) - by Bioz Stars, 2026-08
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    Images

    1) Product Images from "Single-molecule optical microscopy of protein dynamics and computational analysis of images to determine cell structure development in differentiating Bacillus subtilis"

    Article Title: Single-molecule optical microscopy of protein dynamics and computational analysis of images to determine cell structure development in differentiating Bacillus subtilis

    Journal: Computational and Structural Biotechnology Journal

    doi: 10.1016/j.csbj.2020.06.005

    . Stoichiometry of SpoIIE in the mother cell. Kernel density estimation (KDE) of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
    Figure Legend Snippet: . Stoichiometry of SpoIIE in the mother cell. Kernel density estimation (KDE) of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

    Techniques Used:

    . Stoichiometry of SpoIIE in the forespore. (A) Kernel density estimate (KDE) of forespore stoichiometry pooled for all data, and zoom-in (inset), (B) in separate stages with overlap tetramer model (black dotted line). (C) Bar chart of mean foci stoichiometry for foci which have > 20 molecules. Stage II ii statistically higher than II i (p = 0.007) (D) Mean number of foci detected per forespore. (E) Mean foci stoichiometry vs. normalised distance into spore for each stage, (inset) schematic of forespore distance normalization. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
    Figure Legend Snippet: . Stoichiometry of SpoIIE in the forespore. (A) Kernel density estimate (KDE) of forespore stoichiometry pooled for all data, and zoom-in (inset), (B) in separate stages with overlap tetramer model (black dotted line). (C) Bar chart of mean foci stoichiometry for foci which have > 20 molecules. Stage II ii statistically higher than II i (p = 0.007) (D) Mean number of foci detected per forespore. (E) Mean foci stoichiometry vs. normalised distance into spore for each stage, (inset) schematic of forespore distance normalization. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

    Techniques Used:



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    Image Search Results


    3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Journal: Frontiers in Health Services

    Article Title: Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)

    doi: 10.3389/frhs.2025.1621018

    Figure Lengend Snippet: 3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Article Snippet: To analyze the dynamic evolution of service capacity across institutions, a 3D Kernel Density Estimation (KDE) was constructed using MATLAB, based on composite TOPSIS scores from 2019 to 2023.

    Techniques:

    Intraoperative direct electrical stimulation sites . All stimulation sites for Patients 1–6 ( A – F ) are visualized on a 3D reconstruction of the anterior bank of their central sulcus and combined on the International Consortium for Brain Mapping (ICBM) 152 central sulcus template ( G ). Effector-specific sites are displayed in blue, while inter-effector sites [somato-cognitive action network (SCAN)] are displayed in red. H displays the spatial relationship between the inter-effector sites and the plis de passage (PDP) Montreal Neurological Institute (MNI) coordinates ( top ) and their probability density estimation ( bottom ). The three coloured circles in the top image represent the same PDP sites as in . ( I ) Box plot showing the probability of overlap between stimulation sites [inter-effector (red) versus single-effector (blue)] for the two subsectors (anterior, posterior) of area 4. Mann–Whitney U-test; not significant, ns: P ≥ 0.05.

    Journal: Brain

    Article Title: White matter connections within the central sulcus subserving the somato-cognitive action network

    doi: 10.1093/brain/awaf022

    Figure Lengend Snippet: Intraoperative direct electrical stimulation sites . All stimulation sites for Patients 1–6 ( A – F ) are visualized on a 3D reconstruction of the anterior bank of their central sulcus and combined on the International Consortium for Brain Mapping (ICBM) 152 central sulcus template ( G ). Effector-specific sites are displayed in blue, while inter-effector sites [somato-cognitive action network (SCAN)] are displayed in red. H displays the spatial relationship between the inter-effector sites and the plis de passage (PDP) Montreal Neurological Institute (MNI) coordinates ( top ) and their probability density estimation ( bottom ). The three coloured circles in the top image represent the same PDP sites as in . ( I ) Box plot showing the probability of overlap between stimulation sites [inter-effector (red) versus single-effector (blue)] for the two subsectors (anterior, posterior) of area 4. Mann–Whitney U-test; not significant, ns: P ≥ 0.05.

    Article Snippet: The region of highest probability of evoking MEPs was computed using a modified in-house version of probability kernel density estimation (PDE analysis) implemented in MATLAB.

    Techniques: MANN-WHITNEY