Cargando…
Cryo-electron microscope image denoising based on the geodesic distance
BACKGROUND: To perform a three-dimensional (3-D) reconstruction of electron cryomicroscopy (cryo-EM) images of viruses, it is necessary to determine the similarity of image blocks of the two-dimensional (2-D) projections of the virus. The projections containing high resolution information are typica...
Autores principales: | Ouyang, Jianquan, Liang, Zezhi, Chen, Chunyu, Fu, Zhuosong, Zhang, Yue, Liu, Hongrong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6296045/ https://www.ncbi.nlm.nih.gov/pubmed/30554569 http://dx.doi.org/10.1186/s12900-018-0094-3 |
Ejemplares similares
-
Topaz-Denoise: general deep denoising models for cryoEM and cryoET
por: Bepler, Tristan, et al.
Publicado: (2020) -
Fine Properties of Geodesics and Geodesic [Formula: see text] -Convexity for the Hellinger–Kantorovich Distance
por: Liero, Matthias, et al.
Publicado: (2023) -
Adaptive differentiable grids for cryo-electron tomography reconstruction and denoising
por: Wang, Yuanhao, et al.
Publicado: (2023) -
On the Geodesic Distance in Shapes K-means Clustering
por: Gattone, Stefano Antonio, et al.
Publicado: (2018) -
Unsupervised Classification of Polarimetric SAR Image Based on Geodesic Distance and Non-Gaussian Distribution Feature
por: Qu, Junrong, et al.
Publicado: (2021)