PolishEM
PolishEM corrects blur and compensates for curtaining artifacts in focused ion beam-scanning electron microscopy (FIB-SEM) image stacks to improve image clarity for structural studies.
Key Features:
- Gaussian blur model: Automatically estimates and corrects per-image blur using a Gaussian blur model.
- Curtaining artifact compensation: Detects and compensates for curtaining effects that degrade FIB-SEM image quality.
- FIB-SEM stack enhancement: Enhances clarity and effective resolution across FIB-SEM image stacks for improved structural interpretation.
- Optimized large-stack processing: Engineered for efficient processing of large FIB-SEM stacks on standard computing platforms.
- Implemented in C: High-performance C implementation for robust computational performance.
Scientific Applications:
- Structural studies: Improves image fidelity for detailed structural analysis in FIB-SEM datasets.
- Cellular biology: Enhances visualization of cellular ultrastructure captured by FIB-SEM.
- Materials science: Supports high-resolution structural analysis of materials imaged by FIB-SEM.
- Nanotechnology: Facilitates interpretation of nanoscale structures in FIB-SEM imaging.
Methodology:
Applies a Gaussian blur model to automatically estimate and correct per-image blur and compensates for curtaining artifacts; implemented in C and optimized for processing large FIB-SEM stacks on standard computing platforms.
Topics
Details
- License:
- GPL-3.0
- Added:
- 1/18/2021
- Last Updated:
- 1/24/2021
Operations
Publications
Fernandez J, Torres TE, Martin-Solana E, Goya GF, Fernandez-Fernandez M. PolishEM: image enhancement in FIB–SEM. Bioinformatics. 2020;36(12):3947-3948. doi:10.1093/bioinformatics/btaa218. PMID:32221611.