Literature DB >> 20047805

Evaluation of shape variability of stallion sperm heads by means of image analysis and Fourier descriptors.

L Severa1, L Máchal, L Svábová, O Mamica.   

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.

Mesh:

Year:  2009        PMID: 20047805     DOI: 10.1016/j.anireprosci.2009.12.007

Source DB:  PubMed          Journal:  Anim Reprod Sci        ISSN: 0378-4320            Impact factor:   2.145


  6 in total

1.  Geometric morphometrics of rodent sperm head shape.

Authors:  María Varea Sánchez; Markus Bastir; Eduardo R S Roldan
Journal:  PLoS One       Date:  2013-11-28       Impact factor: 3.240

2.  Mouse spermatozoa with higher fertilization rates have thinner nuclei.

Authors:  Daisuke Mashiko; Masahito Ikawa; Koichi Fujimoto
Journal:  PeerJ       Date:  2017-10-12       Impact factor: 2.984

3.  Ejaculate Traits and Sperm Morphology Depending on Ejaculate Volume in Duroc Boars.

Authors:  Krzysztof Górski; Stanisław Kondracki; Anna Wysokińska
Journal:  J Vet Res       Date:  2017-04-04       Impact factor: 1.744

4.  Deep Learning-Based Morphological Classification of Human Sperm Heads.

Authors:  Imran Iqbal; Ghulam Mustafa; Jinwen Ma
Journal:  Diagnostics (Basel)       Date:  2020-05-20

5.  Morphometry of Boar Spermatozoa in Semen Stored at 17 °C-The Influence of the Staining Technique.

Authors:  Dorota Szablicka; Anna Wysokińska; Angelika Pawlak; Klaudia Roman
Journal:  Animals (Basel)       Date:  2022-07-25       Impact factor: 3.231

Review 6.  Current status and potential of morphometric sperm analysis.

Authors:  Alejandro Maroto-Morales; Olga García-Álvarez; Manuel Ramón; Felipe Martínez-Pastor; M Rocío Fernández-Santos; A Josefa Soler; José Julián Garde
Journal:  Asian J Androl       Date:  2016 Nov-Dec       Impact factor: 3.285

  6 in total

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