Python module for FIB/SEM fiducial tracking
Project description
This package provides methods to track fiducial marks between subsequent slices in a nanotomography run fromthe FIB-SEM and allows for calculation of slice thickness based on these fiducials.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
FIBTracking-0.2.2.tar.gz
(7.0 MB
view details)
Built Distribution
File details
Details for the file FIBTracking-0.2.2.tar.gz
.
File metadata
- Download URL: FIBTracking-0.2.2.tar.gz
- Upload date:
- Size: 7.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5d3cb701b2564e8105ff1f55880c92c64d62fc14a7dc35c3d7138a98e020b71 |
|
MD5 | b48db7c981a6275c5007a3abaf7ebcf1 |
|
BLAKE2b-256 | 2a268c31959d79e2924179ae9b14c11b167332523f1a5141eca9cc8e96ed16d9 |
File details
Details for the file FIBTracking-0.2.2-py3-none-any.whl
.
File metadata
- Download URL: FIBTracking-0.2.2-py3-none-any.whl
- Upload date:
- Size: 2.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9d5e2573629bab5e160b84d44addedead14351e1044ad69aa9bf7391be751714 |
|
MD5 | 29c0bede5e2b1aa1f7b5b6da172b758c |
|
BLAKE2b-256 | ce0195e82aa9dd7aea56fa712339af90ae1e8f513f93f109939981e2c70eaa4f |