Skip to content

super-resolution/Jungblut-et-al-2023-supplement

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Jungblut-et-al-2023-supplement

Python scripts and jupyter notebooks for SMLM cluster and tracking analysis. ImageJ scripts were used for lattice light sheet tracking analysis and cell counting.

This code is a supplement to the publication Jungblut et al. 2023.

The analysis code is presented as Jupyter notebooks that make use of python 3.10, locan 0.13 and python-based libraries as outlined in the requirements.in or environment.yml files.

Installation

Requirements files with frozen version numbers are provided.

You can install all packages in a conda environment (we recommend using mamba)

mamba env create --file py310-environment.yml

or via pip

pip install -r py310-requirements.txt --no-deps

License

Distributed under the terms of the BSD-3 License, this code is free and open source software.

About

Code supplement to Jungblut et al. 2023

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published