Add scale-bar and intensity-bar
DigitalMicrograph - Gatan
Command example showing how scale-bar and intensity-bar annotations are created on an image.
Iterate layouts
DigitalMicrograph - Gatan
Command example showing how ImageDocument layouts are set.
Set all scale bars to same style
DigitalMicrograph - Gatan
This automation script will set the style and size of the scale-bar annotations of all currently shown images.
Live difference
Python - Gatan
Code to process the live-view image in DigitalMicrograph, producing a difference image. Two exponentially weighted moving averages are computed, and the absolute value of the difference between them is returned.
Live max FFT
Python - Gatan
Code to process the live-view image in DigitalMicrograph, producing an FFT-like display. A grid of small FFTs is computed from the image, and then rather than averaging the FFTs together, the maximum across all FFTs is taken pixel-by-pixel.
Live noise reduction
Python - Gatan
Code to process the live-view image in DigitalMicrograph, producing a new filtered display. A median and/or Gaussian blur can be applied.
Live radial profile
Python - Gatan
Code to compute radial-max profiles of the FFT of a live-view image in DigitalMicrograph, producing a 2D display of these profiles over time.
Live simple copy
Python - Gatan
Code to process the live-view image in DigitalMicrograph, producing a copy. This script provides a minimal template for processing data in the live view.
Live thresholding with plots
Python - Gatan
Code to process the live-view image in DigitalMicrograph, producing a binary display. The live image is thresholded, and several morphological operations are applied to create a binary display. Then the largest contiguous bright region is found and circled. A plot of the position of the center of mass of that bright region is also updated live.
Live FFT color map
Python - Gatan
Code to process the live-view image in DigitalMicrograph, producing a series of maps of crystalline regions in real-time. It computes a grid of small FFTs from each image. It then treats this grid similar to a 4D STEM data cube, where it finds the brightest spot in each FFT and displays its orientation and intensity as an updating color map.