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data processing & analysis for brain imaging (dpabi) toolkit  (MathWorks Inc)


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    MathWorks Inc data processing & analysis for brain imaging (dpabi) toolkit
    Data Processing & Analysis For Brain Imaging (Dpabi) Toolkit, 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/image+analysis+toolkit/pm39698710-95-17-28
    Average 90 stars, based on 1 article reviews
    data processing & analysis for brain imaging (dpabi) toolkit - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Small-angle neutron scattering measurement of silicon nanoparticle size.
    Article Snippet: We have determined the particle size distribution profiles of octane-terminated silicon nanoparticle suspensions, produced using the sonication of electrochemically etched Si wafers.. Small-angle neutron scattering data was analyzed separately in high (0.4 nm−1 < q < 3.0 nm−1) and low (q < 0.4 nm−1) scattering vector ranges.. Data in the high q range is consistent with the log-normal distribution of isolated spherical particles with median diameter d = 3 ± 0.2 nm.

    Article Title: Dye free automated cell counting and analysis.
    Article Snippet: We have developed an automated cell counting method that uses images obtained at multiple focal heights to enumerate cells in confluent culture.. By taking the derivative of image intensity with respect to focal height using two complementary images, we are able to count highdensity monolayers of cells over a large image area.. Our method resists errors arising from variability in the focal plane caused by flatness or tilt non-uniformities with a minimal amount of focal plane alignment, allowing the automated collection of images across a large area.

    Article Title: PDGF/VEGF signaling controls cell size in Drosophila
    Article Snippet: Image analysis was performed using the image analysis toolkit in Matlab (Mathworks, Natick, Massachusett, USA).

    Analysis:

    Article Title: High-resolution length fractionation of surfactant-dispersed carbon nanotubes.
    Article Snippet: Length fractionation of colloidal single-wall carbon nanotube (SWCNT) dispersions is required for many studies.. Sizeexclusion chromatography (SEC) has been developed as a reliable method for high-resolution length fractionation of DNA-dispersed SWCNTs but has not been applied to surfactant-dispersed SWCNTs due to their lower dispersion stability and tendency to adsorb onto SEC stationary phases.. Here, we report that SEC length fractionation can be achieved for bile salt dispersed SWCNTs by using porous silica-based beads as the stationary phase and bile salt solution as the mobile phase.



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    statistics module of the data processing and analysis for brain imaging toolkit  (MathWorks Inc)
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    Fluorescence intensity of each channel was assessed by automated generation of cell outline around identified nuclei, using the <t>ZenDesk</t> <t>2D</t> image analysis toolkit, as represented ( a ). Expanded data from . Apoptotic (c-Casp-3 + ) cell populations defined by expression of CD45 and PLIN2, expressed as percentage of total plaque cells. Data as mean ± SEM, # P ≤ 0.1, * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001.
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    Image Search Results


    Fluorescence intensity of each channel was assessed by automated generation of cell outline around identified nuclei, using the ZenDesk 2D image analysis toolkit, as represented ( a ). Expanded data from . Apoptotic (c-Casp-3 + ) cell populations defined by expression of CD45 and PLIN2, expressed as percentage of total plaque cells. Data as mean ± SEM, # P ≤ 0.1, * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001.

    Journal: bioRxiv

    Article Title: Postoperative Stress Accelerates Atherosclerosis through Inflammatory Remodeling of the HDL Proteome and Impaired Reverse Cholesterol Transport

    doi: 10.1101/2025.05.02.651357

    Figure Lengend Snippet: Fluorescence intensity of each channel was assessed by automated generation of cell outline around identified nuclei, using the ZenDesk 2D image analysis toolkit, as represented ( a ). Expanded data from . Apoptotic (c-Casp-3 + ) cell populations defined by expression of CD45 and PLIN2, expressed as percentage of total plaque cells. Data as mean ± SEM, # P ≤ 0.1, * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001.

    Article Snippet: Using the ZEISS Zendesk 2D image analysis toolkit, we quantified the per-cell expression of CD45, PLIN2 and cleaved (active) caspase-3 (c-Casp-3), an apoptosis marker ( , ).

    Techniques: Fluorescence, Expressing