Literature DB >> 20662592

Evaluation of the sperm motility analyzer system (SMAS) for the assessment of sperm quality in infertile men.

Takuya Akashi1, Akihiko Watanabe, Akira Komiya, Hideki Fuse.   

Abstract

Eighty-one fresh semen samples were analyzed to compare the sperm parameters obtained using the new Sperm Motility Analysis System (SMAS; version 1.0, Kaga Electronics, Tokyo, Japan) with the CellSoft(TM) Series 3000 (CRYO Resources, New York, USA) computer-assisted semen analysis (CASA) system and conventional manual semen analysis, based on WHO guidelines.. Significant correlations of sperm concentration (p<0.0001) and sperm motility (p<0.0001) were observed between SMAS and manual semen analysis estimates. There were also significant correlations of sperm concentration (p=0.0003) and sperm motility (p<0.0001) between SMAS and CellSoft estimates. Significant correlations for motility-related parameters were demonstrated in sperm velocity (p<0.0001), and linearity (linear velocity (VSL) divided by curvilinear velocity (VCL)×100) (p<0.0001), amplitude of lateral head displacement (ALH) (p<0.0001), and beat/cross frequency (BCF) (p=0.0127), between SMAS and CellSoft estimates. In this study, we showed the usefulness of the new SMAS, which has high reliability in estimating sperm concentration, sperm motility, velocity and linearity compared with CellSoft. SMAS can be a promising alternative, providing cost-effective semen analysis with the utility of the CASA system.

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Year:  2010        PMID: 20662592     DOI: 10.3109/19396361003786293

Source DB:  PubMed          Journal:  Syst Biol Reprod Med        ISSN: 1939-6368            Impact factor:   3.061


  9 in total

1.  Fruit and vegetable intake and their pesticide residues in relation to semen quality among men from a fertility clinic.

Authors:  Y H Chiu; M C Afeiche; A J Gaskins; P L Williams; J C Petrozza; C Tanrikut; R Hauser; J E Chavarro
Journal:  Hum Reprod       Date:  2015-03-30       Impact factor: 6.918

Review 2.  Observation of spermatozoa by a high-magnification microscope.

Authors:  Akira Komiya; Akihiko Watanabe; Tomonori Kato; Yoko Kawauchi; Hideki Fuse
Journal:  Reprod Med Biol       Date:  2013-07-20

3.  Testicular volume discrepancy is associated with decreased semen quality in infertile Japanese males with varicoceles.

Authors:  Akira Komiya; Akihiko Watanabe; Yoko Kawauchi; Hideki Fuse
Journal:  Reprod Med Biol       Date:  2012-01-20

4.  Evaluation of sperm DNA fragmentation using multiple methods: a comparison of their predictive power for male infertility.

Authors:  Aamir Javed; Muralidhar Srinivasaih Talkad; Manjula Kannasandra Ramaiah
Journal:  Clin Exp Reprod Med       Date:  2019-03-01

Review 5.  The validity and reliability of computer-aided semen analyzers in performing semen analysis: a systematic review.

Authors:  Renata Finelli; Kristian Leisegang; Samhita Tumallapalli; Ralf Henkel; Ashok Agarwal
Journal:  Transl Androl Urol       Date:  2021-07

6.  Establishment of a novel assessment of the quality of human spermatozoa measuring mitochondrial oxygen metabolism.

Authors:  Hisanori Taniguchi; Yoshiyuki Matsuo; Kayo Shimoi; Masahiro Yoshimura; Kiichi Hirota; Hidefumi Kinoshita
Journal:  BMC Res Notes       Date:  2022-03-29

7.  Clinical factors associated with sperm DNA fragmentation in male patients with infertility.

Authors:  Akira Komiya; Tomonori Kato; Yoko Kawauchi; Akihiko Watanabe; Hideki Fuse
Journal:  ScientificWorldJournal       Date:  2014-08-04

8.  Sperm nuclear vacuoles in relation to acrosome reactions and sperm motility.

Authors:  Akira Komiya; Yoko Kawauchi; Tomonori Kato; Akihiko Watanabe; Ichiro Tanii; Hideki Fuse
Journal:  ScientificWorldJournal       Date:  2014-07-03

9.  Inverse correlation between reactive oxygen species in unwashed semen and sperm motion parameters as measured by a computer-assisted semen analyzer.

Authors:  Teppei Takeshima; Yasushi Yumura; Kengo Yasuda; Hiroyuki Sanjo; Shinnosuke Kuroda; Hiroyuki Yamanaka; Akira Iwasaki
Journal:  Asian J Androl       Date:  2017 May-Jun       Impact factor: 3.285

  9 in total

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