toolbox package#
Submodules#
toolbox.imagePreProcessing module#
Created on Sun Feb 28 13:44:47 2021
@author: marcnol
loads a list of images from a folder
re-scales exposures
removes inhomogeneous background
adjusts image levels
saves output in TIF
- Steps:
defines run_parameters
gets list of images in folder using wildcard, *tif by default
loads iteratively images and applies operations described above
saves output
- toolbox.imagePreProcessing.lauch_dask_scheduler(requested_nb_nodes, maximum_load=0.6, memory_per_worker=2000)#
- toolbox.imagePreProcessing.main()#
- toolbox.imagePreProcessing.parse_arguments()#
toolbox.imageSegmentSpots module#
Created on Mon Mar 8 16:54:49 2021
@author: marcnol
loads a list of images from a folder
segments image in 3D
saves output in TIF
- Steps:
defines run_parameters
loads iteratively images and segments volumes
saves output
- toolbox.imageSegmentSpots.main()#
- toolbox.imageSegmentSpots.parse_arguments()#
toolbox.runHiM_cluster module#
Created on Fri May 7 19:28:21 2021
@author: marcnol
Lauches slurm srun job
In the command line, run as $ runHiM_cluster.py
- toolbox.runHiM_cluster.main()#
- toolbox.runHiM_cluster.read_arguments()#