Evaluation of shape variability of stallion sperm heads by means of image analysis and Fourier descriptors.
Abstract: This study quantified and evaluated the variability of sperm head shape for 10 different stallions. Sperm head shape characteristics including sperm head length to width ratio, position of the center of gravity, curvature, and degree of roundness were assessed and analysed from images using elliptic Fourier descriptors and inverse Fourier transformation. The first four principal components accounted for 88.46-92.33% of the total variance and provided a good summary of the overall data. In the case of the ejaculate with defective sperm heads the components accounted for 97.35-98.21% of variation. The study was able to quantitatively confirm that head length to width ratio, which contributed 48.63-53.48% and 71.30-73.34% to the total variance for normal and defective sperm, respectively, was the predominant determining parameter of sperm head shape. There were no statistical significant relationships between Fourier descriptors and values of sperm concentration and/or motility.
Copyright 2009 Elsevier B.V. All rights reserved.
Publication Date: 2009-12-16 PubMed ID: 20047805DOI: 10.1016/j.anireprosci.2009.12.007Google Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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This research investigates the variability in shape of stallion sperm heads, using image analysis and advanced mathematical descriptors. The study uncovered that sperm head length to width ratio was the most influencing factor in determining sperm head shape, with no significant links identified between shape descriptors and sperm concentration or motility.
Objective of the Study
- The main aim of this research was to quantify and evaluate the variability in the shape of sperm heads of ten different stallions. This involved assessing characteristics such as sperm head length to width ratio, position of the center of gravity, curvature, and degree of roundness.
Methodology
- The researchers used a technique known as elliptic Fourier descriptors and inverse Fourier transformation to analyze images of the sperm heads. This mathematical approach made it possible to accurately describe the shape of an object in a digitally processed image.
Principal Components Analysis
- The study used principal components analysis, a statistical technique used to simplify the complexity in high-dimensional data while retaining trends and patterns, to summarize the overall data.
- It was found that the first four principal components accounted for 88.46-92.33% of the total variance in normal sperm heads and 97.35-98.21% of variance in defective sperm heads. This indicates that these components captured the majority of the variance in the data, thus providing a good summary of the overall data.
Key Findings
- The study identified that the length to width ratio of sperm head was the major determinant of sperm shape, accounting for 48.63-53.48% and 71.30-73.34% of total variance for normal and defective sperm, respectively. This finding quantitatively confirmed the significance of this parameter in determining sperm head shape.
- The research also indicated that there were no statistically significant relationships between the shape descriptors (Fourier descriptors) and values of sperm concentration and/or motility. This suggests that the shape of the sperm head does not necessarily impact the concentration or motility of sperm.
Cite This Article
APA
Severa L, Máchal L, Svábová L, Mamica O.
(2009).
Evaluation of shape variability of stallion sperm heads by means of image analysis and Fourier descriptors.
Anim Reprod Sci, 119(1-2), 50-55.
https://doi.org/10.1016/j.anireprosci.2009.12.007 Publication
Researcher Affiliations
- Department of Physics, Mendel University of Agriculture and Forestry in Brno, 613 00 Brno, Czech Republic. severa@mendelu.cz
MeSH Terms
- Animals
- Cell Shape / physiology
- Fourier Analysis
- Horses
- Image Processing, Computer-Assisted
- Male
- Sperm Count / statistics & numerical data
- Sperm Head / physiology
- Sperm Head / ultrastructure
- Sperm Motility / physiology
- Spermatozoa / cytology
- Spermatozoa / physiology
Citations
This article has been cited 6 times.- Szablicka D, Wysokińska A, Pawlak A, Roman K. Morphometry of Boar Spermatozoa in Semen Stored at 17 °C-The Influence of the Staining Technique. Animals (Basel) 2022 Jul 25;12(15).
- Iqbal I, Mustafa G, Ma J. Deep Learning-Based Morphological Classification of Human Sperm Heads. Diagnostics (Basel) 2020 May 20;10(5).
- Górski K, Kondracki S, Wysokińska A. Ejaculate Traits and Sperm Morphology Depending on Ejaculate Volume in Duroc Boars. J Vet Res 2017 Mar;61(1):121-125.
- Mashiko D, Ikawa M, Fujimoto K. Mouse spermatozoa with higher fertilization rates have thinner nuclei. PeerJ 2017;5:e3913.
- Maroto-Morales A, García-Álvarez O, Ramón M, Martínez-Pastor F, Fernández-Santos MR, Soler AJ, Garde JJ. Current status and potential of morphometric sperm analysis. Asian J Androl 2016 Nov-Dec;18(6):863-870.
- Varea Sánchez M, Bastir M, Roldan ER. Geometric morphometrics of rodent sperm head shape. PLoS One 2013;8(11):e80607.
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