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Updated: Jan 29, 2026
08:44
A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice
Published on: April 19, 2020
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A high-throughput method for unbiased quantitation and categorization of nuclear morphology†
Benjamin Matthew Skinner1, Claudia Cattoni Rathje2, Joanne Bacon1
1Department of Pathology, University of Cambridge, Cambridge, UK.
Biology of Reproduction
|February 13, 2019
Summary
We developed a new program to precisely measure mouse sperm shape, revealing significant differences in variability between lab and wild strains. This tool improves sperm analysis for studies on fertility and toxicology.
Area of Science:
- Reproductive biology
- Genetics
- Toxicology
Background:
- Sperm nuclear shape is cell type and species-specific, crucial for understanding reproduction.
- Current methods for analyzing mouse sperm morphology are subjective and lack precision.
- Falciform sperm analysis is vital for studies on sperm development, fertility, and toxicology.
Purpose of the Study:
- To develop a quantitative morphometric analysis program for asymmetric sperm nuclei.
- To characterize sperm shape variability across diverse mouse strains (inbred, outbred, wild-derived).
- To assess the utility of hierarchical clustering for sperm shape discrimination.
Main Methods:
- Development of a novel computational program for morphometric analysis of sperm nuclei.
- Characterization of sperm nuclear shape in various laboratory and wild-derived mouse strains.
- Application of hierarchical clustering for classifying and differentiating sperm morphologies.
Main Results:
- Laboratory mouse strains exhibit higher sperm shape variability than wild-derived strains.
- Sperm shape in F1 hybrids is subtly influenced by the direction of the genetic cross.
- Hierarchical clustering accurately distinguishes sperm shapes, outperforming manual assessment.
Conclusions:
- The developed program offers precise and scalable analysis of nuclear shape.
- This approach enhances the ability to distinguish between samples and identify morphological classes.
- The methodology is broadly applicable to sperm analysis across species and biological research areas.
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