Alignment of S/TEM tilt series based on clusters of fiducial markers
Written by Shahar Seifer, in Elbaum lab, Weizmann Institute of Science
See instructions in ClusterAlign-User manual
Video tutorial: https://youtu.be/3G8X8oe6lgc
Windows Installation: https://sourceforge.net/projects/clusteralign/
For Linux / Mac see below.
Alignment of S/TEM tilt series based on clusters of fiducial markers using a client-server approach
For details: check the Client-Server folder.
The client side is run from a single Python module main.py, where the settings are configured in the user manageable sections. It is easy to modify the code for scripts in batch processing.
The client program requires a username and password of FTP site, which you may install on the server (see details in the Python code).
Citation: Seifer,S.& Elbaum, M., ClusterAlign: A fiducial tracking and tilt series alignment tool for thick sample tomography. Biological Imaging, 2, E7 (2022). doi:10.1017/S2633903X22000071