An optimized locally adaptive non-local means denoising filter for cryo-electron microscopy data.
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Summary
This filter takes advantage of a wide range of pixels to estimate the denoised pixel values instead of the traditional filter that only uses pixels in the local neighborhood and shows promising results on raw cryo-EM images and tomograms.
- Type
- article
- Published
- 2010-12-01
- Cited by
- 35
- References
- 24
- OpenAlex
- https://openalex.org/W1966854554
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206491654
Keywords
Pixel, Filter (signal processing), Cryo-electron microscopy, Noise reduction, Artificial intelligence
References
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- CLIC2-RyR1 interaction and structural characterization by cryo-electron microscopy
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- Efficient automatic noise reduction of electron tomographic reconstructions based on iterative median filtering.
- Computational resources for cryo-electron tomography in Bsoft.
- The discriminative bilateral filter: an enhanced denoising filter for electron microscopy data.
- SIGNATURE: a single-particle selection system for molecular electron microscopy.
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- DoG Picker and TiltPicker: software tools to facilitate particle selection in single particle electron microscopy
- Visualizing cells at the nanoscale.
- An improved algorithm for anisotropic nonlinear diffusion for denoising cryo-tomograms.
- Noise reduction in electron tomographic reconstructions using nonlinear anisotropic diffusion.
- Seeing GroEL at 6 A resolution by single particle electron cryomicroscopy.
- EMAN2: an extensible image processing suite for electron microscopy.
- Structure of the hepatitis E virus-like particle suggests mechanisms for virus assembly and receptor binding
- On the origin of the bilateral filter and ways to improve it
Cited by
- Poisson noise removal from high-resolution STEM images based on periodic block matching
- Developing a denoising filter for electron microscopy and tomography data in the cloud
- A CANDLE for a deeper in vivo insight
- A Zernike-moment-based non-local denoising filter for cryo-EM images
- Approximate Bayesian computation, stochastic algorithms and non-local means for complex noise models
- Computational methods for electron tomography.
- Denoising seismic data using the nonlocal means algorithm
- Electron tomography of cells
- A Novel Algorithm for Suppressing Random Noise and Its Application
- On the continuity of images by transmission imaging
- Denoising of high-resolution single-particle electron-microscopy density maps by their approximation using three-dimensional Gaussian functions.
- Computation in electron microscopy.
- An adaptive 3-D collaborative filter for denoising of electron tomography
- Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization
- Sparsity and Group Sparsity Constrained Inversion for Spectral Decomposition of Seismic Data
- Structural biology revolution led by technical breakthroughs in cryo-electron microscopy*
- An overview of state‐of‐the‐art image restoration in electron microscopy
- Algorithms for Image Restoration and 3D Reconstruction from Cryo-EM Images
- A Monte Carlo framework for missing wedge restoration and noise removal in cryo-electron tomography
- An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
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