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• W3048356099 abstract "Motivation: Fibers as the extracellular filamentous structures determine the shape of the cytoskeletal structures. Their characterization and reconstruction from a 3D cellular image represent very useful quantitative information at the cellular level. In this paper, we presented a novel automatic method to extract fiber diameter distribution through a pipeline to reconstruct fibers from 3D fluorescence confocal images. The pipeline is composed of four steps: segmentation, skeletonization, template fitting and fiber tracking. Segmentation of fiber is achieved by defining an energy based on tensor voting framework. After skeletonizing segmented fibers, we fit a template for each seed point. Then, the fiber tracking step reconstructs fibers by finding the best match of the next fiber segment from the previous template. Thus, we define a fiber as a set of templates, based on which we calculate a diameter distribution of fibers." @default.
• W3048356099 created "2020-08-13" @default.
• W3048356099 creator A5029816611 @default.
• W3048356099 date "2020-07-31" @default.
• W3048356099 modified "2023-10-17" @default.
• W3048356099 title "Quantification of Fibers through Automatic Fiber Reconstruction from 3D Fluorescence Confocal Images" @default.
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• W3048356099 doi "https://doi.org/10.14801/jaitc.2020.10.1.25" @default.
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