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nandb-number and brightness in R with a novel automatic detrending algorithm.
Rory Nolan1, Luis A J Alvarez1, Jonathan Elegheert2
1Wellcome Trust Centre for Human Genetics.
Bioinformatics (Oxford, England)
|October 17, 2017
Summary
This study introduces an R package for number and brightness analysis, featuring a new automatic detrending algorithm for enhanced image analysis.
Area of Science:
- Computational biology
- Image analysis
Background:
- Image analysis is crucial in biological research.
- Existing methods may lack robustness in certain conditions.
Purpose of the Study:
- To develop a user-friendly R package for number and brightness analysis.
- To implement a novel automatic detrending algorithm to improve analysis accuracy.
Main Methods:
- Development of an R package named 'nandb'.
- Implementation of a new automatic detrending algorithm within the package.
- Testing and validation of the package's performance.
Main Results:
- The R package provides robust number and brightness analysis.
- The automatic detrending algorithm effectively corrects for image artifacts.
- The package is available for all platforms.
Conclusions:
- The 'nandb' R package offers a valuable tool for quantitative image analysis.
- The integrated detrending algorithm enhances the reliability of biological image data interpretation.