MonoRes

MonoRes computes local resolution in three-dimensional electron microscopy (EM) maps using the monogenic signal framework to assess resolution at each voxel.


Key Features:

  • Monogenic signal framework: Extends the analytic signal concept by employing the monogenic signal to analyze local amplitudes in 3D EM maps.
  • Automatic operation: Operates autonomously without requiring user-defined parameters.
  • Frequency filtering: Filters the 3D EM map at different frequencies to obtain scale-dependent information.
  • Amplitude-based voxel-wise criterion: Computes the amplitude of the monogenic signal across frequencies and applies an amplitude-based criterion to determine resolution at each voxel.
  • Local filtering option: Optionally applies local filtering of the original map using the computed local resolution values.
  • Computational efficiency: Performs resolution estimation more quickly than existing methods.
  • High accuracy: Demonstrates high accuracy in determining local resolution across validation tests.

Scientific Applications:

  • Model building and validation: Provides voxel-wise resolution estimates to guide model building and validation from 3D EM maps.
  • Interpretation of molecular structures: Reveals spatial variability of resolution within maps to aid interpretation of molecular features at different scales.

Methodology:

Filter the 3D EM map at different frequencies, compute the amplitude of the monogenic signal at each frequency, apply an amplitude-based criterion to assign a resolution value to each voxel, and optionally locally filter the original map using the computed local resolution values.

Topics

Details

License:
Freeware
Maturity:
Mature
Cost:
Free of charge
Tool Type:
plugin
Added:
5/18/2018
Last Updated:
11/24/2024

Operations

Publications

Vilas JL, Gómez-Blanco J, Conesa P, Melero R, Miguel de la Rosa-Trevín J, Otón J, Cuenca J, Marabini R, Carazo JM, Vargas J, Sorzano COS. MonoRes: Automatic and Accurate Estimation of Local Resolution for Electron Microscopy Maps. Structure. 2018;26(2):337-344.e4. doi:10.1016/j.str.2017.12.018. PMID:29395788.

PMID: 29395788
Funding: - Madrid Regional Government: CAM S2010/BMD-2305 - Spanish Ministry of Economy and Competitiveness: AIC-A-2011-0638, BIO2013-44647-R, BIO2016-76400-R