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Automatic nuclear bud detection using ellipse fitting, moving sticks or top-hat transformation
1School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT 2600, Australia; CSIRO Mathematics, Informatics and Statistics, North Ryde, NSW 1670, Australia.
Journal of Microscopy
|August 22, 2013
Summary
This study introduces three automatic algorithms for detecting nuclear buds, which are crucial for understanding genotoxicity. These methods, based on ellipse fitting, stick models, and top-hat transforms, are effective for quantifying these micronucleus-like objects.
Area of Science:
- Biotechnology
- Genetics
- Cell Biology
Background:
- Micronucleus assays are standard for assessing genotoxicity and monitoring exposure to harmful agents.
- Recent research indicates nuclear buds may be a novel source of micronuclei during interphase.
- Quantifying nuclear buds in control groups is essential for accurate genotoxicity assessment.
Purpose of the Study:
- To develop and compare automatic algorithms for detecting nuclear buds.
- To provide efficient tools for quantifying nuclear buds in biological samples.
- To support research on genotoxicity and micronuclei formation.
Main Methods:
- Development of three distinct automatic nuclear bud detection algorithms.
- Algorithm 1: Ellipse fitting approach.
- Algorithm 2: Stick model-based detection.
- Algorithm 3: Top-hat transform application.
Main Results:
- All three proposed algorithms demonstrated effectiveness in nuclear bud detection.
- The methods proved efficient for automated quantification of nuclear buds.
- Comparative analysis confirmed the utility of the developed algorithms.
Conclusions:
- The developed automatic algorithms offer reliable solutions for nuclear bud detection.
- These tools can enhance the accuracy and efficiency of genotoxicity assessments.
- Further research can leverage these methods to study micronuclei formation and exposure monitoring.
