Adaptive-Resolution Multi-Orientation Analysis of Complex Filamentous Network Images
Adaptive-Resolution Multi-Orientation Analysis of Complex Filamentous Network Images
Abstract Microscopy images of cytoskeletal, nucleoskeletal, and other filamentous structures contain complex junctions where multiple filaments with distinct orientations overlap, yet state-of-the-art software generally uses single orientation analysis to segment these structures. We describe an image analysis approach to simultaneously segment both filamentous structures and their intersections in microscopy images, based on analytically resolving coincident multiple orientations upon image filtering in a manner that balances orientation resolution and spatial localization.
Vahabikashi Amir、Goldman Robert D.、Jaqaman Khuloud、Kittisopikul Mark、Shimi Takeshi
Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern UniversityDepartment of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern UniversityDepartment of Biophysics, UT Southwestern Medical Center||Department of Bioinformatics, UT Southwestern Medical CenterDepartment of Biophysics, UT Southwestern Medical Center||Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern UniversityDepartment of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University||Institute of Innovative Research, Tokyo Institute of Technology
细胞生物学生物物理学计算技术、计算机技术
Vahabikashi Amir,Goldman Robert D.,Jaqaman Khuloud,Kittisopikul Mark,Shimi Takeshi.Adaptive-Resolution Multi-Orientation Analysis of Complex Filamentous Network Images[EB/OL].(2025-03-28)[2025-05-14].https://www.biorxiv.org/content/10.1101/757005.点此复制
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