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omero matlab toolbox  (MathWorks Inc)


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    MathWorks Inc omero matlab toolbox
    Omero Matlab Toolbox, 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/omero+matlab+toolbox/pm31841303-214-2-3?v=MathWorks+Inc
    Average 90 stars, based on 1 article reviews
    omero matlab toolbox - by Bioz Stars, 2026-07
    90/100 stars

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    Sketch of the analysis. A) ROI tumor (not shown) and the ROI border (dashed red line) were manually delineated by a pathologist (CW). A1: a sliding window moved over the ROI border and cropped every half <t>TMA</t> diameter in the underlying, <t>TMA</t> <t>core-sized</t> image. A2: The resulting tile (exactly the size of one TMA core) was then defined as a virtual TMA (vTMA). b , c This procedure leads to a value (number of tumor buds or budding score) per vTMA. This spatial data could be plotted as a heat map (example heat maps with arbitrary values in the left part) or as a histogram (right part of the figure)
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    Sketch of the analysis. A) ROI tumor (not shown) and the ROI border (dashed red line) were manually delineated by a pathologist (CW). A1: a sliding window moved over the ROI border and cropped every half TMA diameter in the underlying, TMA core-sized image. A2: The resulting tile (exactly the size of one TMA core) was then defined as a virtual TMA (vTMA). b , c This procedure leads to a value (number of tumor buds or budding score) per vTMA. This spatial data could be plotted as a heat map (example heat maps with arbitrary values in the left part) or as a histogram (right part of the figure)

    Journal: Diagnostic Pathology

    Article Title: Automatic evaluation of tumor budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome

    doi: 10.1186/s13000-018-0739-3

    Figure Lengend Snippet: Sketch of the analysis. A) ROI tumor (not shown) and the ROI border (dashed red line) were manually delineated by a pathologist (CW). A1: a sliding window moved over the ROI border and cropped every half TMA diameter in the underlying, TMA core-sized image. A2: The resulting tile (exactly the size of one TMA core) was then defined as a virtual TMA (vTMA). b , c This procedure leads to a value (number of tumor buds or budding score) per vTMA. This spatial data could be plotted as a heat map (example heat maps with arbitrary values in the left part) or as a histogram (right part of the figure)

    Article Snippet: Subsequently, all grid points within the above specified ROI were loaded on the basis of the Omero-MATLAB-toolbox and saved as a TMA core object (containing the slide ID, the core name and position, and an IHC image of the core).

    Techniques:

    Definition and detection of tumor buds. a Example single TMA core stained for pan-cytokeratin and hematoxylin and eosin (HE). The red circle highlights a tumor bud next to larger tumor island. The blue circle is a small tumor part, which we referred to as a “tumor islet”; which is a small tumor aggregate but does not meet all criteria for a tumor bud. b Histogram of pan-cytokeratin positive tumor area per core (upper plot) and pan-cytokeratin tumor bud area per core (lower plot). One can see that the mean area of all tumor fragments (upper panel) shows a huge dispersion (x-axis 0–100,000), whereas the mean area of the tumor buds is less distributed (x-axis 0–1000)

    Journal: Diagnostic Pathology

    Article Title: Automatic evaluation of tumor budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome

    doi: 10.1186/s13000-018-0739-3

    Figure Lengend Snippet: Definition and detection of tumor buds. a Example single TMA core stained for pan-cytokeratin and hematoxylin and eosin (HE). The red circle highlights a tumor bud next to larger tumor island. The blue circle is a small tumor part, which we referred to as a “tumor islet”; which is a small tumor aggregate but does not meet all criteria for a tumor bud. b Histogram of pan-cytokeratin positive tumor area per core (upper plot) and pan-cytokeratin tumor bud area per core (lower plot). One can see that the mean area of all tumor fragments (upper panel) shows a huge dispersion (x-axis 0–100,000), whereas the mean area of the tumor buds is less distributed (x-axis 0–1000)

    Article Snippet: Subsequently, all grid points within the above specified ROI were loaded on the basis of the Omero-MATLAB-toolbox and saved as a TMA core object (containing the slide ID, the core name and position, and an IHC image of the core).

    Techniques: Staining, Dispersion