- DeConvHAADF (STEM-HAADF Deconvolution)
The DeConvHAADF improves spatial resolution of STEM-HAADF image by performing deconvolution using a finite probe with the Maximum Entropy Method or the Richardson-Lucy Algorithm.
- MSA (Multivariate Statistical Analysis)
The MSA substantially removes the random noise from the SI (spectrum image) data, and makes each spectrum clear based on the PCA (Principle Comport Analysis) that is the most popular Multivariate Statistical Analysis.
- qHAADF (Quantitative HAADF Analysis)
The qHAADF performs column-to-column compositional analysis of materials from the integrated intensities of an atomic-column resolved HAADF-STEM image.
- Jitterbug (Scan-noise Compensator)
The Jitterbug especially focus to identify and compensate for the common problem of scan-noise in a single STEM image.
- sMoiré (STEM Moiré Analysis)
The sMoiré generates the strain maps from Moiré images obtained by STEM using the GPA technique (see GPA). This will give the strain map over wide field of view with high accuracy compared with the techniques based on HR-STEM images.
- SmartAlign (Scan-distortion Compensator)
The SmartAlign corrects stage/scan drift and scan distortion by applying rigid and non-rigid image alignment to the fast-acquisition multi-frame STEM images. You can align other images, including the SI (Spectrum Image) data, using the determined distortion information.
- qDPC (Quantitative Differential Phase Contrast)
The qDPC gives a phase distribution by integrating STEM-DPC (Differential Phase Contrast) signals.