gaussian filter Search Results


gaussian filter gf  (Thorlabs)
90
Thorlabs gaussian filter gf
Gaussian Filter Gf, supplied by Thorlabs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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gaussian filter  (Trachsel Dental Studio)
90
Trachsel Dental Studio gaussian filter
Gaussian Filter, supplied by Trachsel Dental Studio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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constrained 3d gaussian low pass filter  (SCANCO USA INC)
90
SCANCO USA INC constrained 3d gaussian low pass filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Constrained 3d Gaussian Low Pass Filter, supplied by SCANCO USA 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/result/constrained 3d gaussian low pass filter/product/SCANCO USA INC
Average 90 stars, based on 1 article reviews
constrained 3d gaussian low pass filter - by Bioz Stars, 2026-04
90/100 stars
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gaussian phase correct filter  (Alicona Corporation)
90
Alicona Corporation gaussian phase correct filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Phase Correct Filter, supplied by Alicona Corporation, 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/result/gaussian phase correct filter/product/Alicona Corporation
Average 90 stars, based on 1 article reviews
gaussian phase correct filter - by Bioz Stars, 2026-04
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gaussian filtering ctan  (Bruker Corporation)
90
Bruker Corporation gaussian filtering ctan
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filtering Ctan, supplied by Bruker Corporation, 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/result/gaussian filtering ctan/product/Bruker Corporation
Average 90 stars, based on 1 article reviews
gaussian filtering ctan - by Bioz Stars, 2026-04
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gaussian filter mathematica  (Wolfram Research)
90
Wolfram Research gaussian filter mathematica
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filter Mathematica, supplied by Wolfram Research, 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/result/gaussian filter mathematica/product/Wolfram Research
Average 90 stars, based on 1 article reviews
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gaussian filter  (Verlag GmbH)
90
Verlag GmbH gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filter, supplied by Verlag GmbH, 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/result/gaussian filter/product/Verlag GmbH
Average 90 stars, based on 1 article reviews
gaussian filter - by Bioz Stars, 2026-04
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3-dimensional gaussian filter 8-mm full width at half maximum  (Visual Numerics Inc)
90
Visual Numerics Inc 3-dimensional gaussian filter 8-mm full width at half maximum
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
3 Dimensional Gaussian Filter 8 Mm Full Width At Half Maximum, supplied by Visual Numerics 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/result/3-dimensional gaussian filter 8-mm full width at half maximum/product/Visual Numerics Inc
Average 90 stars, based on 1 article reviews
3-dimensional gaussian filter 8-mm full width at half maximum - by Bioz Stars, 2026-04
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3-mm postreconstruction gaussian filter  (Wolters Kluwer Health)
90
Wolters Kluwer Health 3-mm postreconstruction gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
3 Mm Postreconstruction Gaussian Filter, supplied by Wolters Kluwer Health, 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/result/3-mm postreconstruction gaussian filter/product/Wolters Kluwer Health
Average 90 stars, based on 1 article reviews
3-mm postreconstruction gaussian filter - by Bioz Stars, 2026-04
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high-pass gaussian filter  (Akatsuki Technology)
90
Akatsuki Technology high-pass gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
High Pass Gaussian Filter, supplied by Akatsuki Technology, 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/result/high-pass gaussian filter/product/Akatsuki Technology
Average 90 stars, based on 1 article reviews
high-pass gaussian filter - by Bioz Stars, 2026-04
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robust gaussian regression filter  (Brinkmann Instruments)
90
Brinkmann Instruments robust gaussian regression filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Robust Gaussian Regression Filter, supplied by Brinkmann Instruments, 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/result/robust gaussian regression filter/product/Brinkmann Instruments
Average 90 stars, based on 1 article reviews
robust gaussian regression filter - by Bioz Stars, 2026-04
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digital gaussian filter  (synaptosoft inc)
90
synaptosoft inc digital gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Digital Gaussian Filter, supplied by synaptosoft 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/result/digital gaussian filter/product/synaptosoft inc
Average 90 stars, based on 1 article reviews
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Image Search Results


Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification 3D coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the Gaussian fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.

Journal: bioRxiv

Article Title: Large-scale quantification of human osteocyte lacunar morphological biomarkers as assessed by ultra-high-resolution desktop micro-computed tomography

doi: 10.1101/2021.01.05.425223

Figure Lengend Snippet: Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification 3D coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the Gaussian fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.

Article Snippet: Preprocessing of each image consisted of a constrained 3D Gaussian low pass filter (σ=0.8, support =1) to reduce noise and was applied using IPL (Scanco Medical AG, Brüttisellen, Switzerland).

Techniques: Selection, Micro-CT