Adaptive-Resolution Multi-Orientation Analysis of Complex Filamentous Network Images
Adaptive-Resolution Multi-Orientation Analysis of Complex Filamentous Network Images
复制标题
复杂丝状网络图像的自适应分辨率多方向分析
DOI：
10.1101/757005
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Jaqaman Khuloud
中科院分区：
文献类型：
--
作者：
Kittisopikul Mark;Vahabikashi Amir;Shimi Takeshi;Goldman Robert D.;Jaqaman Khuloud
细胞骨架、核骨架和其他丝状结构的显微镜图像包含复杂的连接处，其中具有不同方向的多个细丝重叠，但最先进的软件通常使用单方向分析来分割这些结构。我们描述了一种图像分析方法，可同时分割显微图像中的丝状结构及其交叉点，该方法基于以平衡方向分辨率和空间定位的方式分析解决图像过滤时的重合多个方向。
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.