Enhanced Bragg Filter
A GMS plugin for drift correction of low-dose STEM image series.
Enhanced Bragg Filter (EBF) is a plugin developed for Gatan Microscopy Suite (GMS) to support drift correction and high-resolution reconstruction of low-dose HAADF-STEM image series. By selectively extracting reflection spots in Fourier space, EBF enhances periodic lattice features, improves signal-to-noise ratio, and enables more reliable image reconstruction for beam-sensitive materials. The workflow also supports super-resolution reconstruction from low-magnification STEM image series.
Why Enhanced Bragg Filter
Low-dose STEM imaging is essential for beam-sensitive materials, but image drift and low signal often make accurate frame alignment difficult. EBF improves this process by extracting lattice information from selected reflection spots in Fourier space, enabling more robust drift correction and higher-quality reconstruction than conventional low-pass or band-pass filtering methods.
Representative Results
EBF was validated on low-dose HAADF-STEM image series of ZSM-5 zeolite crystals. It improved drift correction accuracy, reduced image distortion, and enhanced reconstruction quality. In the reported study, high-order diffraction corresponding to a spatial resolution of 1.25 Å was identified in the reconstructed result.
Demo Video
The demo video below shows the basic EBF workflow for low-dose STEM image processing, including reflection selection, filtered image reconstruction, drift correction, and final image integration.
Citation
Enhanced Bragg Filter is currently provided as a plugin for Gatan Microscopy Suite (GMS) and is compatible with GMS versions earlier than 3.5.3. It is available for academic, non-commercial use. If EBF contributes to your research, please cite the related publication in your resulting papers or acknowledge the software appropriately.
Wang, Y.; Zhou, J.; Liu, D.; Liu, L.; Li, X.; Zhang, D. Enhanced Bragg Filter: A New Drift Correction Method for Low-dose High-Resolution STEM Images. Chemical Research in Chinese Universities (2025).