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3d animation software package autodesk maya  (Autodesk Inc)

 
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    Autodesk Inc 3d animation software package autodesk maya
    Reconstruction of surfaces using input micrographs with various magnifications. Three-dimensional surfaces have been generated based on electron micrographs of 150 nm-thick titanium thin films at 30000× (a) , 70000× (b) , 90000× (c) and 150000× (d) magnifications. Color scales have been calibrated via AFM roughness data. Three-dimensional surfaces generated based on AFM scans of corresponding surface areas are presented in the right column. The surface features in AFM scans appear to be more regular than <t>in</t> <t>SEM</t> <t>3D</t> displacement maps, due to the effects of tip convolution on AFM data.
    3d Animation Software Package Autodesk Maya, supplied by Autodesk 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/3d animation software package autodesk maya/product/Autodesk Inc
    Average 90 stars, based on 1 article reviews
    3d animation software package autodesk maya - by Bioz Stars, 2026-06
    90/100 stars

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    1) Product Images from "Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets"

    Article Title: Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets

    Journal: AMB Express

    doi: 10.1186/2191-0855-4-3

    Reconstruction of surfaces using input micrographs with various magnifications. Three-dimensional surfaces have been generated based on electron micrographs of 150 nm-thick titanium thin films at 30000× (a) , 70000× (b) , 90000× (c) and 150000× (d) magnifications. Color scales have been calibrated via AFM roughness data. Three-dimensional surfaces generated based on AFM scans of corresponding surface areas are presented in the right column. The surface features in AFM scans appear to be more regular than in SEM 3D displacement maps, due to the effects of tip convolution on AFM data.
    Figure Legend Snippet: Reconstruction of surfaces using input micrographs with various magnifications. Three-dimensional surfaces have been generated based on electron micrographs of 150 nm-thick titanium thin films at 30000× (a) , 70000× (b) , 90000× (c) and 150000× (d) magnifications. Color scales have been calibrated via AFM roughness data. Three-dimensional surfaces generated based on AFM scans of corresponding surface areas are presented in the right column. The surface features in AFM scans appear to be more regular than in SEM 3D displacement maps, due to the effects of tip convolution on AFM data.

    Techniques Used: Generated

    SEM noise reduction for surface reconstruction. A high level of noise in an electron micrograph can adversely affect the final 3D geometry, resulting in a highly rough appearance (a) . In order to minimize the effect of noise, a convolution algorithm can be applied. The surface presented in (b) was processed using a 3 × 3 convolution matrix to ‘smooth out’ the effect of noise. Care must be taken however, to ensure that the image is not excessively smoothed, as this will result in the loss of topographical detail. This is demonstrated in surface (c) , where the same convolution matrix was applied 5 times in succession.
    Figure Legend Snippet: SEM noise reduction for surface reconstruction. A high level of noise in an electron micrograph can adversely affect the final 3D geometry, resulting in a highly rough appearance (a) . In order to minimize the effect of noise, a convolution algorithm can be applied. The surface presented in (b) was processed using a 3 × 3 convolution matrix to ‘smooth out’ the effect of noise. Care must be taken however, to ensure that the image is not excessively smoothed, as this will result in the loss of topographical detail. This is demonstrated in surface (c) , where the same convolution matrix was applied 5 times in succession.

    Techniques Used:



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    Reconstruction of surfaces using input micrographs with various magnifications. Three-dimensional surfaces have been generated based on electron micrographs of 150 nm-thick titanium thin films at 30000× (a) , 70000× (b) , 90000× (c) and 150000× (d) magnifications. Color scales have been calibrated via AFM roughness data. Three-dimensional surfaces generated based on AFM scans of corresponding surface areas are presented in the right column. The surface features in AFM scans appear to be more regular than <t>in</t> <t>SEM</t> <t>3D</t> displacement maps, due to the effects of tip convolution on AFM data.
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    Reconstruction of surfaces using input micrographs with various magnifications. Three-dimensional surfaces have been generated based on electron micrographs of 150 nm-thick titanium thin films at 30000× (a) , 70000× (b) , 90000× (c) and 150000× (d) magnifications. Color scales have been calibrated via AFM roughness data. Three-dimensional surfaces generated based on AFM scans of corresponding surface areas are presented in the right column. The surface features in AFM scans appear to be more regular than <t>in</t> <t>SEM</t> <t>3D</t> displacement maps, due to the effects of tip convolution on AFM data.
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    Reconstruction of surfaces using input micrographs with various magnifications. Three-dimensional surfaces have been generated based on electron micrographs of 150 nm-thick titanium thin films at 30000× (a) , 70000× (b) , 90000× (c) and 150000× (d) magnifications. Color scales have been calibrated via AFM roughness data. Three-dimensional surfaces generated based on AFM scans of corresponding surface areas are presented in the right column. The surface features in AFM scans appear to be more regular than in SEM 3D displacement maps, due to the effects of tip convolution on AFM data.

    Journal: AMB Express

    Article Title: Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets

    doi: 10.1186/2191-0855-4-3

    Figure Lengend Snippet: Reconstruction of surfaces using input micrographs with various magnifications. Three-dimensional surfaces have been generated based on electron micrographs of 150 nm-thick titanium thin films at 30000× (a) , 70000× (b) , 90000× (c) and 150000× (d) magnifications. Color scales have been calibrated via AFM roughness data. Three-dimensional surfaces generated based on AFM scans of corresponding surface areas are presented in the right column. The surface features in AFM scans appear to be more regular than in SEM 3D displacement maps, due to the effects of tip convolution on AFM data.

    Article Snippet: The 3D visualization of SEM images was realized in the 3D animation software package Autodesk Maya® ( http://usa.autodesk.com/maya/ ).

    Techniques: Generated

    SEM noise reduction for surface reconstruction. A high level of noise in an electron micrograph can adversely affect the final 3D geometry, resulting in a highly rough appearance (a) . In order to minimize the effect of noise, a convolution algorithm can be applied. The surface presented in (b) was processed using a 3 × 3 convolution matrix to ‘smooth out’ the effect of noise. Care must be taken however, to ensure that the image is not excessively smoothed, as this will result in the loss of topographical detail. This is demonstrated in surface (c) , where the same convolution matrix was applied 5 times in succession.

    Journal: AMB Express

    Article Title: Three-dimensional reconstruction of surface nanoarchitecture from two-dimensional datasets

    doi: 10.1186/2191-0855-4-3

    Figure Lengend Snippet: SEM noise reduction for surface reconstruction. A high level of noise in an electron micrograph can adversely affect the final 3D geometry, resulting in a highly rough appearance (a) . In order to minimize the effect of noise, a convolution algorithm can be applied. The surface presented in (b) was processed using a 3 × 3 convolution matrix to ‘smooth out’ the effect of noise. Care must be taken however, to ensure that the image is not excessively smoothed, as this will result in the loss of topographical detail. This is demonstrated in surface (c) , where the same convolution matrix was applied 5 times in succession.

    Article Snippet: The 3D visualization of SEM images was realized in the 3D animation software package Autodesk Maya® ( http://usa.autodesk.com/maya/ ).

    Techniques: