Skip to content

A python script to analyze neutro autoradiography immages taken with the technique described in [1]

License

Notifications You must be signed in to change notification settings

ipostuma/NeutronRadiographyTrackAnalysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Neutron Radiography Track Analysis

A python script to analyze neutro autoradiography immages taken with the technique described in [1]. To run the analysis script use script > TrackCount :

''' usage: TrackCount [-h] [-c] [-p] [-t] [-df DRY_TO_FRESH_MASS_RATIO] DIR NAME

Process neutron autoradiography quantitative images.

positional arguments: DIR Directory where the pictures are saved. NAME Base name of the file to analyze.

optional arguments: -h, --help show this help message and exit -c, --convert Convert the pictures from TIFF to JPG. -p, --concentration_ppm Calculate mean boron concentration -t, --track_mm2 Calculate mean track density -df DRY_TO_FRESH_MASS_RATIO, --Dry_To_Fresh_Mass_Ratio DRY_TO_FRESH_MASS_RATIO Define the dry to fresh ratio. '''

Requirements

Required python modules:

  • NumPy
  • matplotlib
  • scipy
  • skimage

Required programs:

  • ImageMagick

Jupyter

in the jupyter directory, you may find a demonstration on how the track counting algorithm performance. To open the notebook you need jupyter.

References

[1] Postuma, Ian, et al. "An improved neutron autoradiography set-up for 10B concentration measurements in biological samples." Reports of Practical Oncology & Radiotherapy 21.2 (2016): 123-128.

About

A python script to analyze neutro autoradiography immages taken with the technique described in [1]

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published