Literature DB >> 30102278

Fish Sperm Assessment Using Software and Cooling Devices.

Carina Caldeira1, Carles Soler2.   

Abstract

For gamete quality evaluation, there are innovative, rapid, and quantitative techniques that can provide useful data for aquaculture. Computerized systems for sperm analysis were developed to measure several parameters and one of the most commonly measured is the sperm motility. Initially, this computer technology was designed for mammalian species, although it can also be used for fish sperm analysis. Fish have specific features that can affect sperm assessment such as a short motility time after activation and, in some cases, adaptation to lower temperatures. Thus, it is necessary to modify both software and hardware components to make motility analysis more efficient for fish sperm analysis. For mammalian sperm, the heating plate is used to maintain optimal temperatures of spermatozoa. However, for some fish species, it is advantageous to use a lower temperature to prolong the duration of motility, since the sperm remain active for less than 2 min. Therefore, cooling devices are necessary to refrigerate samples at constant temperature over the time of analysis, including on the optical microscope. This protocol describes the analysis of fish sperm motility using software for sperm analysis and new cooling devices to optimize the results.

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Year:  2018        PMID: 30102278      PMCID: PMC6126570          DOI: 10.3791/56823

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  35 in total

1.  Male reproductive competition in spawning aggregations of cod (Gadus morhua, L.).

Authors:  D Bekkevold; M M Hansen; V Loeschcke
Journal:  Mol Ecol       Date:  2002-01       Impact factor: 6.185

2.  Methods of measuring swimming speed of spermatozoa.

Authors:  D F Katz; H M Dott
Journal:  J Reprod Fertil       Date:  1975-11

Review 3.  Egg and sperm quality in fish.

Authors:  Julien Bobe; Catherine Labbé
Journal:  Gen Comp Endocrinol       Date:  2009-03-09       Impact factor: 2.822

4.  Quantitative observations of flagellar motility of capacitating human spermatozoa.

Authors:  S T Mortimer; D Schëväert; M A Swan; D Mortimer
Journal:  Hum Reprod       Date:  1997-05       Impact factor: 6.918

5.  What is the best frame rate for evaluation of sperm motility in different species by computer-assisted sperm analysis?

Authors:  Cesare Castellini; Alessandro Dal Bosco; Silvia Ruggeri; Giulia Collodel
Journal:  Fertil Steril       Date:  2011-07       Impact factor: 7.329

6.  Quality control of refrigerated and cryopreserved semen using computer-assisted sperm analysis (CASA), viable staining and standardized fertilization in African catfish (Clarias gariepinus).

Authors:  E Rurangwa; F A Volckaert; G Huyskens; D E Kime; F Ollevier
Journal:  Theriogenology       Date:  2001-02-01       Impact factor: 2.740

7.  Computer-assisted semen analysis: evaluation of method and assessment of the influence of sperm concentration on linear velocity determination.

Authors:  D Vantman; G Koukoulis; L Dennison; M Zinaman; R J Sherins
Journal:  Fertil Steril       Date:  1988-03       Impact factor: 7.329

Review 8.  What is normal semen quality? On the use and abuse of reference limits for the interpretation of semen analysis results.

Authors:  Lars Björndahl
Journal:  Hum Fertil (Camb)       Date:  2011-07-19       Impact factor: 2.767

9.  Kinematics of capacitating human spermatozoa analysed at 60 Hz.

Authors:  S T Mortimer; M A Swan
Journal:  Hum Reprod       Date:  1995-04       Impact factor: 6.918

10.  Comparative study of two computerized semen motility analyzers.

Authors:  H S Gill; K Van Arsdalen; J Hypolite; R M Levin; J V Ruzich
Journal:  Andrologia       Date:  1988 Sep-Oct       Impact factor: 2.775

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  1 in total

1.  Metabonomic Insights into the Sperm Activation Mechanisms in Ricefield Eel (Monopterus albus).

Authors:  Huiying Zhang; Yang Liu; Lingling Zhou; Shaohua Xu; Cheng Ye; Haifeng Tian; Zhong Li; Guangfu Hu
Journal:  Genes (Basel)       Date:  2020-10-26       Impact factor: 4.096

  1 in total

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