Total Dose Rate Listener2
DigitalMicrograph - Gatan
Script to measure and display the total dose rate (in millions of electrons per second) on the camera. Run this script with the live view frontmost in DigitalMicrograph and press the Spacebar key to stop it.
Live radial profile Diff or FFT
Python - Gatan
Compute radial-max profiles of either the FFTs of HRTEM images or diffraction patterns over time. You can compute profiles from the 2D live-view image in DigitalMicrograph or in-situ 2D image data played back via the In-Situ Player. The result is a single 2D display of these profiles over time, with time as one dimension and radius as the other. Profiles are computed as often as possible.
In-situ dataset radial profile Diff or FFT
Python - Gatan
Compute radial-max profiles from an in-situ dataset in DigitalMicrograph. The data can be HRTEM images (from which the FFT will be computed) or diffraction patterns over time. The primary result is a single 2D display of these profiles over time, with time as one dimension and radius as the other. The script also generates an automatically synced in-situ dataset of the 1D radial profiles.
Process 2D in-situ datasets
Python - Gatan
Process in-situ camera or in-situ STEM imaging datasets in DigitalMicrograph. The script handles several in-situ file formats used by DigitalMicrograph and produces results that are automatically synced with the original data when played back in DigitalMicrograph. The script supports custom processing of each frame by modifying a frame processing function.
4D STEM maximum spot mapping
Python - Gatan
Produce a colorful map of crystalline regions from a 4D STEM dataset open in DigitalMicrograph using a simple algorithm that finds the location and intensity of the maximum pixel in each pattern. While the result looks like an orientation map, it does not perform proper orientation mapping.
In-situ 4D STEM maximum spot mapping
Python - Gatan
Produce a series of colorful maps of crystalline regions from an in-situ 4D STEM dataset open in DigitalMicrograph. This uses a simple algorithm that finds the location and intensity of the maximum pixel in each pattern. The resulting in-situ video of color maps automatically syncs with the original data in DigitalMicrograph. While the results look like orientation maps, the script does not perform proper orientation mapping.