The Experts below are selected from a list of 2859 Experts worldwide ranked by ideXlab platform
Shreiber David - One of the best experts on this subject based on the ideXlab platform.
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A Novel Quantitative Volumetric Spreading Index Definition and Assessment of Astrocyte Spreading In Vitro
'Wiley', 2017Co-Authors: Tİryakİ, Volkan MÜjdat, Ayres, Virginia M, Ahmed Ijaz, Shreiber DavidAbstract:A novel quantitative volumetric spreading index (VSI) is defined that depends on the total distance between Object Voxels and the contact surface plane in three-dimensional (3D) space. The VSI, which ranges from 0 to 1, is rotationally invariant around the zaxis. VSI can be used to quantify the degree of individual cell spreading, which is important for analysis of cell interactions with their environment. The VSIs of astrocytes cultured on a nanofibrillar surface and three different comparative planar surfaces have been calculated from confocal laser scanning microscope z-series images, and the effects of both culture surface and immunoreactivity on the degree of cell spreading were investigated. VSI calculations indicated a statistical correlation between increased reactivity, based on immunolabeling for glial fibrillary acidic protein, and decreased cell spreading. Further results provided a quantitative measure for the increased spreading of quiescent-like and reactive-like astrocytes on planar substrates functionalized with poly-L-lysine
Hui Zhang - One of the best experts on this subject based on the ideXlab platform.
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error bounded solid voxelization for polygonal model based on heuristic seed filling
International Symposium on Visual Computing, 2005Co-Authors: Jianguang Weng, Yueting Zhuang, Hui ZhangAbstract:Although surface voxelization is now becoming a matured field, solid voxelization still lags quite behind due to the lack of robust and efficient means of processing complex polygonal models. Our paper presents a fast and easy to implement error-bounded solid voxelization algorithm in three subtasks: (i) PVM (Primary Volume Model), in which most of the non-Object Voxels are eliminated. (ii) BVM (Boundary Volume Model), which provides reliable discrete Object boundary. (iii) RVM (Revised Volume Model), which is the result of Heuristic Seed Filling as the critical portion of our algorithm. In the third subtask, the non-Object Voxels from PVM and the Object Voxels from BVM form the boundaries and seeds are computed from PVM and BVM as well. Unlike traditional seed filling, our approach achieves significantly improved performance and produces error-bounded experimental results. Furthermore, our method is more robust compared to 3D scan-filling.
Tİryakİ, Volkan MÜjdat - One of the best experts on this subject based on the ideXlab platform.
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A Novel Quantitative Volumetric Spreading Index Definition and Assessment of Astrocyte Spreading In Vitro
'Wiley', 2017Co-Authors: Tİryakİ, Volkan MÜjdat, Ayres, Virginia M, Ahmed Ijaz, Shreiber DavidAbstract:A novel quantitative volumetric spreading index (VSI) is defined that depends on the total distance between Object Voxels and the contact surface plane in three-dimensional (3D) space. The VSI, which ranges from 0 to 1, is rotationally invariant around the zaxis. VSI can be used to quantify the degree of individual cell spreading, which is important for analysis of cell interactions with their environment. The VSIs of astrocytes cultured on a nanofibrillar surface and three different comparative planar surfaces have been calculated from confocal laser scanning microscope z-series images, and the effects of both culture surface and immunoreactivity on the degree of cell spreading were investigated. VSI calculations indicated a statistical correlation between increased reactivity, based on immunolabeling for glial fibrillary acidic protein, and decreased cell spreading. Further results provided a quantitative measure for the increased spreading of quiescent-like and reactive-like astrocytes on planar substrates functionalized with poly-L-lysine
Jianguang Weng - One of the best experts on this subject based on the ideXlab platform.
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error bounded solid voxelization for polygonal model based on heuristic seed filling
International Symposium on Visual Computing, 2005Co-Authors: Jianguang Weng, Yueting Zhuang, Hui ZhangAbstract:Although surface voxelization is now becoming a matured field, solid voxelization still lags quite behind due to the lack of robust and efficient means of processing complex polygonal models. Our paper presents a fast and easy to implement error-bounded solid voxelization algorithm in three subtasks: (i) PVM (Primary Volume Model), in which most of the non-Object Voxels are eliminated. (ii) BVM (Boundary Volume Model), which provides reliable discrete Object boundary. (iii) RVM (Revised Volume Model), which is the result of Heuristic Seed Filling as the critical portion of our algorithm. In the third subtask, the non-Object Voxels from PVM and the Object Voxels from BVM form the boundaries and seeds are computed from PVM and BVM as well. Unlike traditional seed filling, our approach achieves significantly improved performance and produces error-bounded experimental results. Furthermore, our method is more robust compared to 3D scan-filling.
Ahmed Ijaz - One of the best experts on this subject based on the ideXlab platform.
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A Novel Quantitative Volumetric Spreading Index Definition and Assessment of Astrocyte Spreading In Vitro
'Wiley', 2017Co-Authors: Tİryakİ, Volkan MÜjdat, Ayres, Virginia M, Ahmed Ijaz, Shreiber DavidAbstract:A novel quantitative volumetric spreading index (VSI) is defined that depends on the total distance between Object Voxels and the contact surface plane in three-dimensional (3D) space. The VSI, which ranges from 0 to 1, is rotationally invariant around the zaxis. VSI can be used to quantify the degree of individual cell spreading, which is important for analysis of cell interactions with their environment. The VSIs of astrocytes cultured on a nanofibrillar surface and three different comparative planar surfaces have been calculated from confocal laser scanning microscope z-series images, and the effects of both culture surface and immunoreactivity on the degree of cell spreading were investigated. VSI calculations indicated a statistical correlation between increased reactivity, based on immunolabeling for glial fibrillary acidic protein, and decreased cell spreading. Further results provided a quantitative measure for the increased spreading of quiescent-like and reactive-like astrocytes on planar substrates functionalized with poly-L-lysine
