gaussian filter Search Results


90
Carl Zeiss gaussian filter
Gaussian Filter, supplied by Carl Zeiss, 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/gaussian+filter/pm39715766-375-8-19?v=Carl+Zeiss
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gaussian filter - by Bioz Stars, 2026-08
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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/product/gaussian+filter/bio_rxiv__2021__01__05__425223-55-8-24?v=SCANCO+USA+INC
Average 90 stars, based on 1 article reviews
constrained 3d gaussian low pass filter - by Bioz Stars, 2026-08
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BEX Co Ltd kalman filter-based gaussian process
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.
Kalman Filter Based Gaussian Process, supplied by BEX Co Ltd, 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/gaussian+filter/10__3991_slash_ijoe__v14i08__8536-312-16-38?v=BEX+Co+Ltd
Average 90 stars, based on 1 article reviews
kalman filter-based gaussian process - by Bioz Stars, 2026-08
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wavemetrics inc 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 wavemetrics 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/gaussian+filter/pmc02590633-135-17-22?v=wavemetrics+inc
Average 90 stars, based on 1 article reviews
gaussian filter - by Bioz Stars, 2026-08
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MetaMorph Inc gaussian kernel 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 Kernel Filter, supplied by MetaMorph 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/gaussian+filter/pm23684786-345-9-14?v=MetaMorph+Inc
Average 90 stars, based on 1 article reviews
gaussian kernel filter - by Bioz Stars, 2026-08
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Horien International Co Ltd low-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.
Low Pass Gaussian Filter, supplied by Horien International Co Ltd, 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/gaussian+filter/pm40543060-121-7-27?v=Horien+International+Co+Ltd
Average 90 stars, based on 1 article reviews
low-pass gaussian filter - by Bioz Stars, 2026-08
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Verlag GmbH gaussian kernel python3 scipy.ndimage.filters.gaussianfilter
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 Kernel Python3 Scipy.Ndimage.Filters.Gaussianfilter, 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/product/gaussian+filter/pm26520113-9-19-6?v=Verlag+GmbH
Average 90 stars, based on 1 article reviews
gaussian kernel python3 scipy.ndimage.filters.gaussianfilter - by Bioz Stars, 2026-08
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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/product/gaussian+filter/pmc03347704-172-7-18?v=synaptosoft+inc
Average 90 stars, based on 1 article reviews
digital gaussian filter - by Bioz Stars, 2026-08
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Optics and Photonics spatial frequency domain gaussian filter widths
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.
Spatial Frequency Domain Gaussian Filter Widths, supplied by Optics and Photonics, 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/gaussian+filter/10__4236_slash_opj__2024__145005-97-14-3?v=Optics+and+Photonics
Average 90 stars, based on 1 article reviews
spatial frequency domain gaussian filter widths - by Bioz Stars, 2026-08
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wavemetrics inc 3 pixel gaussian filter igor pro
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 Pixel Gaussian Filter Igor Pro, supplied by wavemetrics 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/gaussian+filter/pmc06514437-80-11-14?v=wavemetrics+inc
Average 90 stars, based on 1 article reviews
3 pixel gaussian filter igor pro - by Bioz Stars, 2026-08
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Bruxton Corp 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 Bruxton Corp, 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/gaussian+filter/pmc02586587-67-15-29?v=Bruxton+Corp
Average 90 stars, based on 1 article reviews
digital gaussian filter - by Bioz Stars, 2026-08
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Finisar Corporation 30-ghz gaussian shape optical bandpass filter programmable waveshaper filter from
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.
30 Ghz Gaussian Shape Optical Bandpass Filter Programmable Waveshaper Filter From, supplied by Finisar 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/product/gaussian+filter/pmc04143945-104-18-28?v=Finisar+Corporation
Average 90 stars, based on 1 article reviews
30-ghz gaussian shape optical bandpass filter programmable waveshaper filter from - by Bioz Stars, 2026-08
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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