matlab function delaunay Search Results


99
Oxford Instruments osteoblast data
Schematic of <t>osteoblast</t> morphology and behavior during bone nodule formation. Osteoblasts had a crowded cuboidal morphology in the early stages of bone formation; some were embedded in the bone matrix and became osteocytes, and the remaining osteoblasts acquired a flattened BLC‐like morphology. When Wnt signaling was activated in the flattened osteoblasts, they again acquired a cuboidal shape. Cuboidal and reactivated osteoblasts had many blebs on their cell membranes.
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96
MathWorks Inc matlab software package
Schematic of <t>osteoblast</t> morphology and behavior during bone nodule formation. Osteoblasts had a crowded cuboidal morphology in the early stages of bone formation; some were embedded in the bone matrix and became osteocytes, and the remaining osteoblasts acquired a flattened BLC‐like morphology. When Wnt signaling was activated in the flattened osteoblasts, they again acquired a cuboidal shape. Cuboidal and reactivated osteoblasts had many blebs on their cell membranes.
Matlab Software Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab software package/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
matlab software package - by Bioz Stars, 2026-05
96/100 stars
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Image Search Results


Schematic of osteoblast morphology and behavior during bone nodule formation. Osteoblasts had a crowded cuboidal morphology in the early stages of bone formation; some were embedded in the bone matrix and became osteocytes, and the remaining osteoblasts acquired a flattened BLC‐like morphology. When Wnt signaling was activated in the flattened osteoblasts, they again acquired a cuboidal shape. Cuboidal and reactivated osteoblasts had many blebs on their cell membranes.

Journal: JBMR Plus

Article Title: Spatiotemporal Analysis of Osteoblast Morphology and Wnt Signal‐Induced Osteoblast Reactivation during Bone Modeling in Vitro

doi: 10.1002/jbm4.10689

Figure Lengend Snippet: Schematic of osteoblast morphology and behavior during bone nodule formation. Osteoblasts had a crowded cuboidal morphology in the early stages of bone formation; some were embedded in the bone matrix and became osteocytes, and the remaining osteoblasts acquired a flattened BLC‐like morphology. When Wnt signaling was activated in the flattened osteoblasts, they again acquired a cuboidal shape. Cuboidal and reactivated osteoblasts had many blebs on their cell membranes.

Article Snippet: Delaunay triangulation was performed using the Delaunay triangulation function in MATLAB R2022a (MathWorks, USA) from osteoblast data quantified by IMARIS version 8.3.1 (Oxford Instruments) to calculate the area of the triangles.

Techniques:

Cuboidal osteoblasts had many blebs. ( A ) Representative images of Day 10 osteoblasts after staining with phalloidin and 4,6‐diamidino‐2‐phenylindole. ( B ) Bleb formation observed in osteoblast membranes (yellow arrowhead indicates bleb). ( C ) Time‐lapse images of cuboidal osteoblasts and images obtained by subtracting minimum intensity from acquired images and changing color of luts. ( D ) Representative image cropped from ( C ). ( E ) Mean intensity of bleb regions. ( F ) Histogram of blebbing duration ( N = 82). ( G ) Histogram of maximum area of observed blebbing areas ( N = 123). Scale bar: 25 μm.

Journal: JBMR Plus

Article Title: Spatiotemporal Analysis of Osteoblast Morphology and Wnt Signal‐Induced Osteoblast Reactivation during Bone Modeling in Vitro

doi: 10.1002/jbm4.10689

Figure Lengend Snippet: Cuboidal osteoblasts had many blebs. ( A ) Representative images of Day 10 osteoblasts after staining with phalloidin and 4,6‐diamidino‐2‐phenylindole. ( B ) Bleb formation observed in osteoblast membranes (yellow arrowhead indicates bleb). ( C ) Time‐lapse images of cuboidal osteoblasts and images obtained by subtracting minimum intensity from acquired images and changing color of luts. ( D ) Representative image cropped from ( C ). ( E ) Mean intensity of bleb regions. ( F ) Histogram of blebbing duration ( N = 82). ( G ) Histogram of maximum area of observed blebbing areas ( N = 123). Scale bar: 25 μm.

Article Snippet: Delaunay triangulation was performed using the Delaunay triangulation function in MATLAB R2022a (MathWorks, USA) from osteoblast data quantified by IMARIS version 8.3.1 (Oxford Instruments) to calculate the area of the triangles.

Techniques: Staining

Blebs have polarity, and cuboidal osteoblasts have high motility. ( A ) Representative images of time lapse in four dimensions and images extracted from frame‐by‐frame differences and their merged images. ( B ) Polar plots of distribution of bleb in xy , zy , and zx planes. ( C ) Violin plots of speed of cuboidal osteoblasts on bone matrix and adherent osteoblasts on dish, paired t ‐test. Scale bar: 25 μm.

Journal: JBMR Plus

Article Title: Spatiotemporal Analysis of Osteoblast Morphology and Wnt Signal‐Induced Osteoblast Reactivation during Bone Modeling in Vitro

doi: 10.1002/jbm4.10689

Figure Lengend Snippet: Blebs have polarity, and cuboidal osteoblasts have high motility. ( A ) Representative images of time lapse in four dimensions and images extracted from frame‐by‐frame differences and their merged images. ( B ) Polar plots of distribution of bleb in xy , zy , and zx planes. ( C ) Violin plots of speed of cuboidal osteoblasts on bone matrix and adherent osteoblasts on dish, paired t ‐test. Scale bar: 25 μm.

Article Snippet: Delaunay triangulation was performed using the Delaunay triangulation function in MATLAB R2022a (MathWorks, USA) from osteoblast data quantified by IMARIS version 8.3.1 (Oxford Instruments) to calculate the area of the triangles.

Techniques:

Time‐lapse observation of changes in bone nodules and osteoblast morphology induced by BIO. ( A ) Representative images of osteoblast morphological changes from 0 to 55 hours after BIO administration. ( B ) Cropped image from ( A ) of osteoblasts that acquired a cuboidal shape after BIO administration (yellow arrows indicate blebs). ( C ) Schematic of experiment to analyze effects of BIO administration in long term. ( D ) Representative images of osteoblast morphological changes in BIO and vehicle groups (yellow arrows indicate osteoblasts that acquired a cuboidal morphology). ( E ) Line plots with error bars of SHG increase by BIO administration. ( F ) Changes in IN/ON osteoblast morphology over time following BIO administration. ( G ) Binarization of SHG and osteoblasts by IMARIS for maximum intensity projection. ( F ) SHG/EGFP ratio changes over time. N = 20 from five independent experiments. AU, arbitrary unit. Two‐sample t ‐test ( E , F , H ). Data shown as means ± SE. Scale bar: 50 μm.

Journal: JBMR Plus

Article Title: Spatiotemporal Analysis of Osteoblast Morphology and Wnt Signal‐Induced Osteoblast Reactivation during Bone Modeling in Vitro

doi: 10.1002/jbm4.10689

Figure Lengend Snippet: Time‐lapse observation of changes in bone nodules and osteoblast morphology induced by BIO. ( A ) Representative images of osteoblast morphological changes from 0 to 55 hours after BIO administration. ( B ) Cropped image from ( A ) of osteoblasts that acquired a cuboidal shape after BIO administration (yellow arrows indicate blebs). ( C ) Schematic of experiment to analyze effects of BIO administration in long term. ( D ) Representative images of osteoblast morphological changes in BIO and vehicle groups (yellow arrows indicate osteoblasts that acquired a cuboidal morphology). ( E ) Line plots with error bars of SHG increase by BIO administration. ( F ) Changes in IN/ON osteoblast morphology over time following BIO administration. ( G ) Binarization of SHG and osteoblasts by IMARIS for maximum intensity projection. ( F ) SHG/EGFP ratio changes over time. N = 20 from five independent experiments. AU, arbitrary unit. Two‐sample t ‐test ( E , F , H ). Data shown as means ± SE. Scale bar: 50 μm.

Article Snippet: Delaunay triangulation was performed using the Delaunay triangulation function in MATLAB R2022a (MathWorks, USA) from osteoblast data quantified by IMARIS version 8.3.1 (Oxford Instruments) to calculate the area of the triangles.

Techniques: