当前位置: X-MOL 学术Bioinformatics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Adaptive Multi-Orientation Resolution Analysis of Complex Filamentous Network Images.
Bioinformatics ( IF 4.4 ) Pub Date : 2020-07-11 , DOI: 10.1093/bioinformatics/btaa627
Mark Kittisopikul 1, 2 , Amir Vahabikashi 2 , Takeshi Shimi 2, 3 , Robert D Goldman 2 , Khuloud Jaqaman 1, 4
Affiliation  

Microscopy images of cytoskeletal, nucleoskeletal, and other structures contain complex junctions of overlapping filaments with arbitrary geometry. Yet state-of-the-art algorithms generally perform single orientation analysis to segment these structures, resulting in gaps near junctions, or assume particular junction geometries to detect them.

中文翻译:

复杂丝状网络图像的自适应多方向分辨率分析。

细胞骨架、核骨架和其他结构的显微镜图像包含具有任意几何形状的重叠细丝的复杂连接。然而,最先进的算法通常执行单方向分析来分割这些结构,从而在连接点附近产生间隙,或者假设特定的连接点几何形状来检测它们。
更新日期:2020-07-13
down
wechat
bug