Cargando…
Feature Extraction of 3T3 Fibroblast Microtubule Based on Discrete Wavelet Transform and Lucy–Richardson Deconvolution Methods
Accompanied by the increasing requirements of the probing micro/nanoscopic structures of biological samples, various image-processing algorithms have been developed for visualization or to facilitate data analysis. However, it remains challenging to enhance both the signal-to-noise ratio and image r...
Autores principales: | Bai, Haoxin, Che, Bingchen, Zhao, Tianyun, Zhao, Wei, Wang, Kaige, Zhang, Ce, Bai, Jintao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228624/ https://www.ncbi.nlm.nih.gov/pubmed/35744438 http://dx.doi.org/10.3390/mi13060824 |
Ejemplares similares
-
Application of regularized Richardson–Lucy algorithm for deconvolution of confocal microscopy images
por: Laasmaa, M, et al.
Publicado: (2011) -
Optimal 2D-SIM reconstruction by two filtering steps with Richardson-Lucy deconvolution
por: Perez, Victor, et al.
Publicado: (2016) -
Super-Resolution Reconstruction of Cytoskeleton Image Based on A-Net Deep Learning Network
por: Chen, Qian, et al.
Publicado: (2022) -
A Novel Richardson-Lucy Model with Dictionary Basis and Spatial Regularization for Isolating Isotropic Signals
por: Xu, Tiantian, et al.
Publicado: (2017) -
LUCY
Publicado: (1970)