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reproducible workflow  (Mendeley Ltd)

 
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    Mendeley Ltd reproducible workflow
    Reproducible Workflow, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/reproducible+workflow/pmc13264291-6-16-23?v=Mendeley+Ltd
    Average 86 stars, based on 1 article reviews
    reproducible workflow - by Bioz Stars, 2026-07
    86/100 stars

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    a Exampleregion of interest within a multiplexed image from Donor 9 (region 3); GMM was used to automatically segment/classify different cell types. Sub-regions of interest are shown in b – d panels with probability maps for each cell type; b cytokeratin CK26 epidermis staining and adjacent probability map of epidermis cells overlaid on the virtual H&E; c endothelial cells of blood vessels (CD31) and adjacent probability map of endothelial cells; d p53 staining in the epidermis and adjacent probability map of p53 positive cells; e The sensitivity, specificity, and accuracy metrics for the cell classification <t>workflow</t> for nine biomarkers using manual annotations.
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    a Exampleregion of interest within a multiplexed image from Donor 9 (region 3); GMM was used to automatically segment/classify different cell types. Sub-regions of interest are shown in b – d panels with probability maps for each cell type; b cytokeratin CK26 epidermis staining and adjacent probability map of epidermis cells overlaid on the virtual H&E; c endothelial cells of blood vessels (CD31) and adjacent probability map of endothelial cells; d p53 staining in the epidermis and adjacent probability map of p53 positive cells; e The sensitivity, specificity, and accuracy metrics for the cell classification workflow for nine biomarkers using manual annotations.

    Journal: Communications Biology

    Article Title: 3D reconstruction of skin and spatial mapping of immune cell density, vascular distance and effects of sun exposure and aging

    doi: 10.1038/s42003-023-04991-z

    Figure Lengend Snippet: a Exampleregion of interest within a multiplexed image from Donor 9 (region 3); GMM was used to automatically segment/classify different cell types. Sub-regions of interest are shown in b – d panels with probability maps for each cell type; b cytokeratin CK26 epidermis staining and adjacent probability map of epidermis cells overlaid on the virtual H&E; c endothelial cells of blood vessels (CD31) and adjacent probability map of endothelial cells; d p53 staining in the epidermis and adjacent probability map of p53 positive cells; e The sensitivity, specificity, and accuracy metrics for the cell classification workflow for nine biomarkers using manual annotations.

    Article Snippet: To address these challenges, we have developed an automated, reproducible workflow ( M ultiplexed Im a ge T hree-D R econstruction and I ntegrated C ell S patial - A nalysis - MATRICS-A) for 3D reconstruction of highly multiplexed tissue sections.

    Techniques: Staining