Literature DB >> 4007186

Computer-assisted measurement of sperm swimming speed in human semen: correlation of results with in vitro fertilization assays.

W V Holt, H D Moore, S G Hillier.   

Abstract

A semiautomatic computerized technique for the measurement of sperm swimming speed is presented. The equipment is easy to use and would be suitable for routine clinical laboratories. The value of the sperm speed measurements obtained from over 100 individuals in relation to fertility has been studied by the correlation of these results with human in vitro fertilization (IVF) data and sperm penetrating capability in the zona-free hamster egg assay. The results show that sperm speed measurements correlate very well with those of the IVF, both human and hamster, and can be used successfully, in conjunction with multivariate statistical methods, to predict the outcomes of such techniques with about 75% accuracy.

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Mesh:

Year:  1985        PMID: 4007186     DOI: 10.1016/s0015-0282(16)48687-5

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  9 in total

1.  Comparison between a two-layer discontinuous Percoll gradient and swim-up for sperm preparation on normal and abnormal semen samples.

Authors:  S U Chen; H N Ho; H F Chen; K H Chao; H R Lin; S C Huang; T Y Lee; Y S Yang
Journal:  J Assist Reprod Genet       Date:  1995-11       Impact factor: 3.412

2.  Rapid sperm capture: high-throughput flagellar waveform analysis.

Authors:  M T Gallagher; G Cupples; E H Ooi; J C Kirkman-Brown; D J Smith
Journal:  Hum Reprod       Date:  2019-07-08       Impact factor: 6.918

3.  A collective tracking method for preliminary sperm analysis.

Authors:  Sung-Yang Wei; Hsuan-Hao Chao; Han-Ping Huang; Chang Francis Hsu; Sheng-Hsiang Li; Long Hsu
Journal:  Biomed Eng Online       Date:  2019-11-27       Impact factor: 2.819

Review 4.  Predictive value of sperm morphology and movement characteristics in the outcome of in vitro fertilization of human oocytes.

Authors:  S Y Chan; C Wang; S T Chan; P C Ho; W W So; Y F Chan; H K Ma
Journal:  J In Vitro Fert Embryo Transf       Date:  1989-06

5.  Prediction of Sperm Progression in Three Dimensions Using Rapid Optical Imaging and Dynamic Mechanical Modeling.

Authors:  Mayssam Nassir; Mattan Levi; Gili Dardikman-Yoffe; Simcha K Mirsky; Natan T Shaked
Journal:  Cells       Date:  2022-04-13       Impact factor: 7.666

6.  Seasonal variations in quantitative and qualitative sperm characteristics in fertile and subfertile stallions.

Authors:  Yara Suliman; Frank Becker; Armin Tuchscherer; Klaus Wimmers
Journal:  Arch Anim Breed       Date:  2020-05-14

7.  Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches.

Authors:  Luis Víquez; Vinicio Barquero; Carles Soler; Eduardo R S Roldan; Anthony Valverde
Journal:  Biology (Basel)       Date:  2020-06-26

8.  Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination.

Authors:  Viktorija Valiuškaitė; Vidas Raudonis; Rytis Maskeliūnas; Robertas Damaševičius; Tomas Krilavičius
Journal:  Sensors (Basel)       Date:  2020-12-24       Impact factor: 3.576

Review 9.  Male reproductive toxicology: comparison of the human to animal models.

Authors:  P K Working
Journal:  Environ Health Perspect       Date:  1988-04       Impact factor: 9.031

  9 in total

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