MonoRes: Automatic and Accurate Estimation of Local Resolution for Electron Microscopy Maps

Area of Science:

• Electron microscopy
• Image processing
• Computational imaging

Background:

• Resolution is a critical parameter in electron microscopy.
• Accurate determination of local resolution in 3D maps is essential for data interpretation.
• Existing methods for resolution assessment can be time-consuming and require user input.

Purpose of the Study:

• To develop a fully automatic and accurate method for determining the local resolution of 3D maps.
• To introduce the monogenic signal as a foundation for resolution assessment.
• To provide a computationally efficient alternative to current resolution determination techniques.

Main Methods:

• The MonoRes algorithm extends the analytic signal concept to the monogenic signal.
• 3D maps are filtered across various frequencies.
• The amplitude of the monogenic signal is computed to establish a resolution criterion at each voxel.

Main Results:

• MonoRes is fully automatic, requiring no user parameters.
• The method demonstrates high accuracy across all tested scenarios.
• MonoRes is computationally faster than existing resolution assessment methods.
• An optional local filtering feature based on determined resolution is available.

Conclusions:

• MonoRes provides a robust, automated solution for local resolution determination in 3D electron microscopy maps.
• The monogenic signal offers a powerful tool for quantitative image analysis.
• This method significantly improves the efficiency and accuracy of 3D map analysis in electron microscopy.