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REVIEW PAPER
The application of computer-assisted semen analysis (CASA) technology to optimise semen evaluation. A review
1
Costa Rica Institute of Technology, School of Agronomy, San Carlos Local Campus 223-21001, Alajuela, Costa Rica
2
Costa Rica Institute of Technology. School of Agronomy, San Carlos Local Campus, Costa Rica Institute of Technology, 223-21001, Alajuela, Costa Rica.
3
University of Valencia. Department of Cellular Biology, Functional Biology and Physical Anthropology, Campus Burjassot, C/Dr. Moliner, 50, 46100, Paterna, Spain.
Publication date: 2020-09-30
Corresponding author
A. Valverde
Costa Rica Institute of Technology, School of Agronomy, San Carlos Local Campus 223-21001, Alajuela, Costa Rica
Costa Rica Institute of Technology, School of Agronomy, San Carlos Local Campus 223-21001, Alajuela, Costa Rica
J. Anim. Feed Sci. 2020;29(3):189-198
KEYWORDS
TOPICS
ABSTRACT
Currently, artificial insemination (AI) is the most applied technique for assisted reproduction in the livestock industry. The traditional analysis of
seminal quality includes the evaluation of concentration and motility (total and progressive), the parameters on which the number of doses producible from an ejaculate is calculated. The introduction of automated sperm evaluation systems based on computer-assisted semen analysis (CASA) represented a revolution in the production of seminal doses and the knowledge in reproductive biology; however, this technology has been generally implemented without a critical analysis of its limitations and dependence on several methodological factors.
In addition to the use of CASA technology, the estimation of kinematics and morphometry have been incorporated as novel parameters for sensitivity and reproducibility. AI has facilitated the rapid and universal dissemination of genetic material from a relatively small number of males. The CASA systems allow the analysis of a large number of sperm cells in a short time, thereby providing an array of quantitative data on kinematics and head sperm morphometry, thus making it possible to optimise the reliability of seminal analyses.
ACKNOWLEDGEMENTS
This research was founded by the grant (No FI-097B-14) from the Consejo Nacional para Investigaciones Científicas y Tecnológicas (CONICIT) and Ministerio de Ciencia, Tecnología y Telecomunicaciones (MICITT), Costa Rica.
The authors would like to thank the Vice-Chancellor’s office of Research and Extension (Vicerrectoría de Investigación y Extensión) at the Costa Rica Institute of Technology (Project 5402-2151-1013).
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Evaluation of sperm and hormonal assessments in Wagyu, Nellore, and Angus bulls
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Morphometric assessment of cryopreserved livestock bull spermatozoa in the tropics
Luis Víquez, Francisco Sevilla, Ignacio Araya‐Zúñiga, Carles Soler, Vinicio Barquero, Eduardo Roldan, Anthony Valverde
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Reproduction in Domestic Animals
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Exploration of semen quality analyzed by casa-mot systems of brahman bulls infected with BLV and BHV-1
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Scientific Reports
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Scientific Reports
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Systematic review and meta-analysis of cryopreserved bovine sperm assessment: harnessing imaging flow cytometry for multi-parametric analysis
Anel Umirbaeva, Andrey Kurenkov, Aizhan Makhanbetova, Bolat Seisenov, Ivan A. Vorobjev, Natasha S. Barteneva
Frontiers in Veterinary Science
Anel Umirbaeva, Andrey Kurenkov, Aizhan Makhanbetova, Bolat Seisenov, Ivan A. Vorobjev, Natasha S. Barteneva
Frontiers in Veterinary Science
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Human Sperm Detection and Tracking using Event-based Cameras and Unsupervised Learning
Ferhat Sadak, Edison Gerena, Charlotte Dupont, Rachel Lévy, Sinan Haliyo
2024 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)
Ferhat Sadak, Edison Gerena, Charlotte Dupont, Rachel Lévy, Sinan Haliyo
2024 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)
9.
Effect of Thawing Procedure and Thermo-Resistance Test on Sperm Motility and Kinematics Patterns in Two Bovine Breeds
Juan M. Solís, Francisco Sevilla, Miguel A. Silvestre, Ignacio Araya-Zúñiga, Eduardo R. S. Roldan, Alejandro Saborío-Montero, Anthony Valverde
Animals
Juan M. Solís, Francisco Sevilla, Miguel A. Silvestre, Ignacio Araya-Zúñiga, Eduardo R. S. Roldan, Alejandro Saborío-Montero, Anthony Valverde
Animals
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Artificial intelligence in human reproduction
Gerardo Mendizabal-Ruiz, Omar Paredes, Ángel Álvarez, Fátima Acosta-Gómez, Estefanía Hernández-Morales, Josué González-Sandoval, Celina Mendez-Zavala, Ernesto Borrayo, Alejandro Chavez-Badiola
Archives of Medical Research
Gerardo Mendizabal-Ruiz, Omar Paredes, Ángel Álvarez, Fátima Acosta-Gómez, Estefanía Hernández-Morales, Josué González-Sandoval, Celina Mendez-Zavala, Ernesto Borrayo, Alejandro Chavez-Badiola
Archives of Medical Research
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Assisted Reproductive Technologies in Animals Volume 1
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Effect of cooling and freezing on the kinematic parameters of ram spermatozoa sexed by modified protocol with TLR7/8 ligand R848
Stanimir Yotov, Elena Kistanova, Аnatoli Atanasov, Boyana Ivanova, Darina Zaimova
Biotechnology in Animal Husbandry
Stanimir Yotov, Elena Kistanova, Аnatoli Atanasov, Boyana Ivanova, Darina Zaimova
Biotechnology in Animal Husbandry
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A simple and rapid evaluation of boar sperm quality using the resazurin colorimetric assay
Fung-Hsiang Chu, Yu-Hsin Chen, Ting-Chieh Kang, Lih-Ren Chen, Hsiu-Lien Herbie Lin
Animal Reproduction
Fung-Hsiang Chu, Yu-Hsin Chen, Ting-Chieh Kang, Lih-Ren Chen, Hsiu-Lien Herbie Lin
Animal Reproduction
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Boar Sperm Motility Assessment Using Computer-Assisted Sperm Analysis: Current Practices, Limitations, and Methodological Challenges
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Animals
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Animals
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| ISSN: | 1230-1388 |
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