search

ScalableCytometryImageProcessing / SCIP

Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
https://scalable-cytometry-image-processing.readthedocs.io/en/latest/
GNU General Public License v3.0
7 stars 0 forks source link

Jones2006 illumination correction #51

Closed MaximLippeveld closed 2 years ago

MaximLippeveld commented 2 years ago

Implementation of distributed illumination correction.

codecov-commenter commented 2 years ago

Codecov Report

Merging #51 (4329213) into refactor (81bd475) will increase coverage by 1.72%. The diff coverage is 64.51%.

@@             Coverage Diff              @@
##           refactor      #51      +/-   ##
============================================
+ Coverage     45.07%   46.79%   +1.72%     
============================================
  Files            23       24       +1     
  Lines           974     1030      +56     
============================================
+ Hits            439      482      +43     
- Misses          535      548      +13
Impacted Files Coverage Δ
src/scip/loading/tiff.py 40.00% <0.00%> (+2.85%) :arrow_up:
src/scip/utils/util.py 67.74% <ø> (-0.26%) :arrow_down:
src/scip/illumination_correction/jones_2006.py 56.25% <56.25%> (ø)
src/scip/main.py 78.18% <100.00%> (+2.54%) :arrow_up:
src/scip/normalization/quantile_normalization.py 44.44% <100.00%> (+8.88%) :arrow_up:

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.