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pls toolbox v8.0.2  (Eigenvector Research Inc)

 
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    Eigenvector Research Inc pls toolbox v8.0.2
    Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
    Pls Toolbox V8.0.2, supplied by Eigenvector Research 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/pls+toolbox+v8%2E0%2E2/pls+toolbox/pmc06934559-208-0-3
    Average 90 stars, based on 1 article reviews
    pls toolbox v8.0.2 - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Magnetic resonance microscopy and correlative histopathology of the infarcted heart"

    Article Title: Magnetic resonance microscopy and correlative histopathology of the infarcted heart

    Journal: Scientific Reports

    doi: 10.1038/s41598-019-56436-5

    Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = partial least squares discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
    Figure Legend Snippet: Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = partial least squares discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.

    Techniques Used: Microscopy, Standard Deviation

    Magnetic resonance microscopy probabilistic maps of myocardial samples obtained from swine infarcted hearts. The probabilistic maps used a red-blue colour code to represent the combined probability (based on the respective PLS-DA models) of the tissue being infarcted (red) or remote (blue). The correlative histopathology is also shown. Remote areas (acute infarction: A,B ; chronic infarction: E,F ) and infarct areas (acute infarction: C,D ; chronic infarction: G,H ) are displayed in the left and right panels respectively. An agarose-hiding mask has been applied to the map to better visualize images. Abbreviations: HE = haematoxylin-eosin; PLS-DA = partial least squares discriminant analysis.
    Figure Legend Snippet: Magnetic resonance microscopy probabilistic maps of myocardial samples obtained from swine infarcted hearts. The probabilistic maps used a red-blue colour code to represent the combined probability (based on the respective PLS-DA models) of the tissue being infarcted (red) or remote (blue). The correlative histopathology is also shown. Remote areas (acute infarction: A,B ; chronic infarction: E,F ) and infarct areas (acute infarction: C,D ; chronic infarction: G,H ) are displayed in the left and right panels respectively. An agarose-hiding mask has been applied to the map to better visualize images. Abbreviations: HE = haematoxylin-eosin; PLS-DA = partial least squares discriminant analysis.

    Techniques Used: Microscopy, Histopathology

    Related Articles

    Microscopy:

    Article Title: Magnetic resonance microscopy and correlative histopathology of the infarcted heart
    Article Snippet: PLS toolbox v8.0.2 (Eigenvector research, Inc., Manson, WS, USA) was used for this purpose.

    Standard Deviation:

    Article Title: Magnetic resonance microscopy and correlative histopathology of the infarcted heart
    Article Snippet: PLS toolbox v8.0.2 (Eigenvector research, Inc., Manson, WS, USA) was used for this purpose.

    Histopathology:

    Article Title: Magnetic resonance microscopy and correlative histopathology of the infarcted heart
    Article Snippet: PLS toolbox v8.0.2 (Eigenvector research, Inc., Manson, WS, USA) was used for this purpose.



    Similar Products

    pls toolbox v8.0.2  (Eigenvector Research Inc)
    90
    Eigenvector Research Inc pls toolbox v8.0.2
    Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
    Pls Toolbox V8.0.2, supplied by Eigenvector Research 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/pls+toolbox+v8%2E0%2E2/pls+toolbox/pmc06934559-208-0-3
    Average 90 stars, based on 1 article reviews
    pls toolbox v8.0.2 - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = partial least squares discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.

    Journal: Scientific Reports

    Article Title: Magnetic resonance microscopy and correlative histopathology of the infarcted heart

    doi: 10.1038/s41598-019-56436-5

    Figure Lengend Snippet: Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = partial least squares discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.

    Article Snippet: PLS toolbox v8.0.2 (Eigenvector research, Inc., Manson, WS, USA) was used for this purpose.

    Techniques: Microscopy, Standard Deviation

    Magnetic resonance microscopy probabilistic maps of myocardial samples obtained from swine infarcted hearts. The probabilistic maps used a red-blue colour code to represent the combined probability (based on the respective PLS-DA models) of the tissue being infarcted (red) or remote (blue). The correlative histopathology is also shown. Remote areas (acute infarction: A,B ; chronic infarction: E,F ) and infarct areas (acute infarction: C,D ; chronic infarction: G,H ) are displayed in the left and right panels respectively. An agarose-hiding mask has been applied to the map to better visualize images. Abbreviations: HE = haematoxylin-eosin; PLS-DA = partial least squares discriminant analysis.

    Journal: Scientific Reports

    Article Title: Magnetic resonance microscopy and correlative histopathology of the infarcted heart

    doi: 10.1038/s41598-019-56436-5

    Figure Lengend Snippet: Magnetic resonance microscopy probabilistic maps of myocardial samples obtained from swine infarcted hearts. The probabilistic maps used a red-blue colour code to represent the combined probability (based on the respective PLS-DA models) of the tissue being infarcted (red) or remote (blue). The correlative histopathology is also shown. Remote areas (acute infarction: A,B ; chronic infarction: E,F ) and infarct areas (acute infarction: C,D ; chronic infarction: G,H ) are displayed in the left and right panels respectively. An agarose-hiding mask has been applied to the map to better visualize images. Abbreviations: HE = haematoxylin-eosin; PLS-DA = partial least squares discriminant analysis.

    Article Snippet: PLS toolbox v8.0.2 (Eigenvector research, Inc., Manson, WS, USA) was used for this purpose.

    Techniques: Microscopy, Histopathology