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De Yi Liu

Bio: De Yi Liu is an academic researcher from Prince Henry's Institute of Medical Research. The author has contributed to research in topics: Male infertility & Semen analysis. The author has an hindex of 1, co-authored 1 publications receiving 50 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the relationship between the results of the Sperm Quality Analyzer (United Medical Systems Inc., Santa Ana, CA), which measures motile sperm concentration by light scattering, conventional manual semen analysis characteristics, and computer-assisted sperm motility analyses was assessed.

51 citations


Cited by
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Journal ArticleDOI
TL;DR: Analysis of specific sperm swelling patterns showed that those patterns considered to reflect maximal sperm swelling were indicative of high fertility, and correlation coefficients among the various sperm characteristics and fertility of bulls were highly significant.

212 citations

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TL;DR: The results obtained indicate that a fluoride exposure of 3-27 mg/day induces a subclinical reproductive effect that can be explained by a fluoride-induced toxic effect in both Sertoli cells and gonadotrophs.

138 citations

Journal ArticleDOI
TL;DR: Diluting dog semen samples to 50 x 10(6) ml(-1) with physiological saline solution and scanning 30 frames at a frame rate of 60 frames/s are the set-up parameters proposed to obtain objective and standardized canine semen motility results using the HTR Ceros 12.1.

116 citations

Journal ArticleDOI
TL;DR: This review focuses on the concept of CASA, the development course of CAS a technology, the clinical application of CASa systems and the factors influencing the accuracies of results, such as frame rate, sperm counting chambers affiliated to the CASA system, algorithms and sperm concentration.
Abstract: Computer-aided sperm analysis (CASA) system has been accepted and used commonly as a routine semen analysis instrument in hospital clinical laboratories worldwide. However, technicians in clinical laboratories have little informed knowledge about the principles of CASA system and the sources of analysis errors. In this review, we focus on the concept of CASA, the development course of CASA technology, the clinical application of CASA systems and the factors influencing the accuracies of results, such as frame rate, sperm counting chambers affiliated to the CASA system, algorithms and sperm concentration. These factors and lack of internal quality control may result in huge errors of the CASA between systems and laboratories. It is therefore necessary to perform the standardisation and quality control for CASA.

98 citations

Journal ArticleDOI
TL;DR: Sperm cells at the spermiogenic and meiotic stages of development are more susceptible to heat stress, together with subtle changes in sperm head shape, which can be detected by FHA but not by conventional semen analysis.

93 citations