The Laplacian of Gaussian and arbitrary z-crossings approach applied to automated single particle reconstruction.
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Summary
The new arbitrary z-crossings approach is presented which can be employed to enhance the accuracy of edge detection algorithms that are based on the second derivative using the Laplacian of Gaussian filter.
- Type
- article
- Published
- 2007-07-01
- Cited by
- 32
- References
- 34
- OpenAlex
- https://openalex.org/W2006826332
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:35521944
Keywords
Blob detection, Minimum bounding box, Artificial intelligence, Computer science, Computer vision
References
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- Automated three-dimensional reconstruction of keyhole limpet hemocyanin type 1.
- A novel three-dimensional variant of the watershed transform for segmentation of electron density maps.
- Performance of a 2k CCD camera designed for electron crystallography at 400 kV.
- Application of template matching technique to particle detection in electron micrographs.
- Theory of edge detection
- EMAN: semiautomated software for high-resolution single-particle reconstructions.
- A 11.5 A single particle reconstruction of GroEL using EMAN.
- SwarmPS: rapid, semi-automated single particle selection software.
- Electron tomography: towards visualizing the molecular organization of the cytoplasm.
- FREALIGN: high-resolution refinement of single particle structures.
- Contrast transfer for frozen-hydrated specimens II. Amplitude contrast at very low frequencies
- Solution x-ray scattering-based estimation of electron cryomicroscopy imaging parameters for reconstruction of virus particles.
- Advantages of CCD detectors for de novo three-dimensional structure determination in single-particle electron microscopy.
- Applications of a slow-scan CCD camera in protein electron crystallography.
- Seeing GroEL at 6 A resolution by single particle electron cryomicroscopy.
Cited by
- Automatic approaches for microscopy imaging based on machine learning and spatial statistics
- Bilateral edge filter: photometrically weighted, discontinuity based edge detection.
- Reference-free particle selection enhanced with semi-supervised machine learning for cryo-electron microscopy
- An Improved Two-Phase Sparse Representation Method for Traffic Sign Recognition
- DoG Picker and TiltPicker: software tools to facilitate particle selection in single particle electron microscopy
- A Clarification of the Terms Used in Comparing Semi-automated Particle Selection Algorithms in Cryo-EM
- A 3D Image Filter for Parameter-Free Segmentation of Macromolecular Structures from Electron Tomograms
- Automatic Particle Picking from Cryo-Electron Microscopy Images by Using Partial Least Squares
- Research on the Reconfigurable Image Processing System
- Automatic 3D object detection of Proteins in Fluorescent labeled microscope images with spatial statistical analysis
- A sparse representation method for traffic sign recognition based on similar class
- Identifying pitching mode of aerial planting projectile by the use of image processing
- Identifying flight modes of Aerial Planting Projectile using Hilbert-Huang transformation
- Development of an optical system for the non‐invasive tracking of stem cell growth on microcarriers
- RAZA: A Rapid 3D z-crossings algorithm to segment electron tomograms and extract organelles and macromolecules.
- Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition
- RELION-3: new tools for automated high-resolution cryo-EM structure determination
- Multi-Focus Image Fusion Using Block-Wise Color-Principal Component Analysis
- New tools for automated high-resolution cryo-EM structure determination in RELION-3
- Automatic post-picking using MAPPOS improves particle image detection from Cryo-EM micrographs
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