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.

PMID: 32221611
Funding: - FEDER: SAF2017-84565-R