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voronoi matlab function  (MathWorks Inc)


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    MathWorks Inc voronoi matlab function
    Voronoi Matlab Function, 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/voronoi+matlab+function/pm40649552-325-23-24
    Average 90 stars, based on 1 article reviews
    voronoi matlab function - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Investigation of Adaptive Optics Imaging Biomarkers for Detecting Pathological Changes of the Cone Mosaic in Patients with Type 1 Diabetes Mellitus
    Article Snippet: [ – , ] The Voronoi tessellation was implemented by the voronoi Matlab function from the bidimensional coordinates of labelled cones.

    Article Title: Efficient estimation of the failure probability of a monopile foundation using a Kriging-based approach with multi-point enrichment
    Article Snippet: In this paper, a probabilistic analysis of an offshore monopile foundation embedded in a spatially varying clayey soil was performed.. An efficient Kriging-based probabilistic approach using a multipoint enrichment was adopted for the analysis.. The aim is to compute the failure probability Pf against exceeding a threshold value on the monopile head rotation.

    Article Title: Multimodal imaging quality control of epithelia regenerated with cultured human donor corneal limbal epithelial stem cells
    Article Snippet: The Voronoi tessellation was implemented by the voronoi Matlab function from the bidimensional coordinates of labelled cells , .

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    Article Title: Reliability and Agreement Between Metrics of Cone Spacing in Adaptive Optics Images of the Human Retinal Photoreceptor Mosaic.
    Article Snippet: .. The cone packing arrangement was analyzed using Voronoi diagrams.9,10,29,30 The Voronoi tessellation was implemented by the voronoi Matlab function from the bidimensional coordinates of labeled cones, as previously described.9,10,24,29 The Voronoi regions lying at the bounds of each section were excluded from further analysis, creating a buffer zone1⁄4 2 NND to minimize the boundary effect. ..

    Generated:

    Article Title: Probabilistic Models for Two-Phase Materials.
    Article Snippet: .. – Step 2: For each sample nk of N(D), generate sets of nk independent uniformly dis- tributed points in D and use the voronoi MATLAB function to partition the specimen domain in Voronoi cells centered at the generated Poisson points. ..



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    Nearest neighbor (NN) analysis for oligodendrocytes in P20 and P60 tissue sections. a For each cell, a region is plotted (tiles in the background), where all points of the region are closer to that cell than to any other <t>(Voronoi</t> tessellation). Each cell is a node in the graph and the edges connect the neighboring cells (Delaunay triangulation). A zoom-in is shown for the WM region. The main scale bar is 500 μm, and the zoom-in scale bar is 250 μm. b Heatmaps of the nearest neighbor likelihood (significant neighboring preferences highlighted by red boxes) and barplot of average distances to most prevalent NN for P20 CTX (top) and CC (bottom) ( n = 6 P20 tissue sections). c Same as ( b) for P60 CTX and CC ( n = 6 P60 tissue sections). d Same as ( a) for the spinal cord. The main scale bar is 100 μm, and the zoom-in scale bar is 50 μm. e Same as ( b) for spinal cord P20 GM and WM ( n = 6 P20 tissue sections). f Same as ( e) for spinal cord P60 GM and WM ( n = 6 P60 tissue sections)
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    MathWorks Inc voronoi function of matlab software 7.0
    Nearest neighbor (NN) analysis for oligodendrocytes in P20 and P60 tissue sections. a For each cell, a region is plotted (tiles in the background), where all points of the region are closer to that cell than to any other <t>(Voronoi</t> tessellation). Each cell is a node in the graph and the edges connect the neighboring cells (Delaunay triangulation). A zoom-in is shown for the WM region. The main scale bar is 500 μm, and the zoom-in scale bar is 250 μm. b Heatmaps of the nearest neighbor likelihood (significant neighboring preferences highlighted by red boxes) and barplot of average distances to most prevalent NN for P20 CTX (top) and CC (bottom) ( n = 6 P20 tissue sections). c Same as ( b) for P60 CTX and CC ( n = 6 P60 tissue sections). d Same as ( a) for the spinal cord. The main scale bar is 100 μm, and the zoom-in scale bar is 50 μm. e Same as ( b) for spinal cord P20 GM and WM ( n = 6 P20 tissue sections). f Same as ( e) for spinal cord P60 GM and WM ( n = 6 P60 tissue sections)
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    Nearest neighbor (NN) analysis for oligodendrocytes in P20 and P60 tissue sections. a For each cell, a region is plotted (tiles in the background), where all points of the region are closer to that cell than to any other (Voronoi tessellation). Each cell is a node in the graph and the edges connect the neighboring cells (Delaunay triangulation). A zoom-in is shown for the WM region. The main scale bar is 500 μm, and the zoom-in scale bar is 250 μm. b Heatmaps of the nearest neighbor likelihood (significant neighboring preferences highlighted by red boxes) and barplot of average distances to most prevalent NN for P20 CTX (top) and CC (bottom) ( n = 6 P20 tissue sections). c Same as ( b) for P60 CTX and CC ( n = 6 P60 tissue sections). d Same as ( a) for the spinal cord. The main scale bar is 100 μm, and the zoom-in scale bar is 50 μm. e Same as ( b) for spinal cord P20 GM and WM ( n = 6 P20 tissue sections). f Same as ( e) for spinal cord P60 GM and WM ( n = 6 P60 tissue sections)

    Journal: BMC Biology

    Article Title: Spatial and temporal heterogeneity in the lineage progression of fine oligodendrocyte subtypes

    doi: 10.1186/s12915-022-01325-z

    Figure Lengend Snippet: Nearest neighbor (NN) analysis for oligodendrocytes in P20 and P60 tissue sections. a For each cell, a region is plotted (tiles in the background), where all points of the region are closer to that cell than to any other (Voronoi tessellation). Each cell is a node in the graph and the edges connect the neighboring cells (Delaunay triangulation). A zoom-in is shown for the WM region. The main scale bar is 500 μm, and the zoom-in scale bar is 250 μm. b Heatmaps of the nearest neighbor likelihood (significant neighboring preferences highlighted by red boxes) and barplot of average distances to most prevalent NN for P20 CTX (top) and CC (bottom) ( n = 6 P20 tissue sections). c Same as ( b) for P60 CTX and CC ( n = 6 P60 tissue sections). d Same as ( a) for the spinal cord. The main scale bar is 100 μm, and the zoom-in scale bar is 50 μm. e Same as ( b) for spinal cord P20 GM and WM ( n = 6 P20 tissue sections). f Same as ( e) for spinal cord P60 GM and WM ( n = 6 P60 tissue sections)

    Article Snippet: Nearest neighbor analysis was performed by first partitioning the cell maps into regions using the MATLAB function voronoi.

    Techniques: