Sperm motility index: a new parameter for human sperm evaluation

Bartoov, B.; Ben-Barak, Jacob; Mayevsky, Abraham; Sneider, Mordechai; Yogev, L.; Lightman, Abraham

doi:10.1016/s0015-0282(16)54427-6

Cited by 63 publications

(59 citation statements)

References 9 publications

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“…In addition, the problem for the clinician is the fact that conventional parameters such as concentration, motility and morphology do not always exactly correlate with fertility potential [1,2], making the interpretation of the procured data difficult. All these factors implicate an absolute need for objectibility and standardization of semen analysis, which has led to the development of several semi-computerized and computerized measuring devices [3][4][5]. Some computerized devices, known as computer-assisted sperm analysis (CASA), have been available [6].…”

Section: Introductionmentioning

confidence: 99%

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Usefulness of Sperm Quality Analyzer-v (Sqa-V) for the Assessment of Sperm Quality in Infertile Men

Akashi¹,

Mizuno²,

Okumura³

et al. 2005

Archives of Andrology

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& The aim of this study was to evaluate the correlation of new of Sperm Quality Analyzer (SQA-V) with the computer-assisted sperm analysis (CASA) and manual semen analysis estimates. One hundred five fresh semen samples were analyzed using SQA-V and CASA and manual semen analysis. Significant correlations of sperm concentration (p < 0.0001), sperm motility (p < 0.0001), and normal morphology (p < 0.0001) were observed between SQA-V variables and manual semen analysis estimates. There also were significant correlations of sperm concentration (p < 0.0001), sperm motility (p < 0.0001), and sperm velocity (p ¼ 0.0235) between SQA-V variables and CASA estimates. Meanwhile, it did not correlate with amplitude of lateral head displacement, beat cross frequency, lineality assessed by CASA. The value of the sperm concentration and the sperm motility measured by SQA-V showed high correlations with the value of those measured by CASA and manual semen analysis. In addition, velocity and sperm morphology may also be evaluated to some extent using SQA-V.

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Section: Introductionmentioning

confidence: 99%

“…The clinical usefulness of SQA previously has been demonstrated [4,[9][10][11]. The purpose of this study was to evaluate the efficacy of a more updated version with the visualization system (SQA-V), providing sperm velocity assessment.…”

Section: Introductionmentioning

confidence: 99%

Usefulness of Sperm Quality Analyzer-v (Sqa-V) for the Assessment of Sperm Quality in Infertile Men

Akashi¹,

Mizuno²,

Okumura³

et al. 2005

Archives of Andrology

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“…Validation of the Sperm Class Analyzer 321 spermatozoa/ml, probably because sperm cells are so concentrated that they are unable to move freely within the Makler counting chamber, resulting in multiple individual collisions [Bartoov et al 1991;Rijsselaere et al, 2002], and consequently their motion parameters are slightly altered [Mortimer 2000]. In contrast, total motility increases significantly with higher concentrations.…”

Section: Discussionmentioning

confidence: 99%

Influence of sampling factors on canine sperm motility parameters measured by the Sperm Class Analyzer

Dorado

Rijsselaere

Muñoz-Serrano

et al. 2011

Systems Biology in Reproductive Medicine

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The aim of the present study was to investigate the effect of different technical settings and semen processing on sperm motility parameters measured by the Sperm Class Analyzer (SCA). Semen was collected from 3 dogs, pooled, and diluted in phosphate buffered saline and subsequently assessed by the SCA for the different sperm motility characteristics. The data were statistically analyzed by ANOVA and the repeatability was assessed by coefficient of variation (CV). After a principal component analysis, the reliability was determined with intraclass correlation coefficient (ICC). In experiment 1, the CV's were below 10% for all evaluated parameters. Significant differences (P < 0.05) were found between the different sperm concentrations (25, 50, and 75 x 10 6 spermatozoa/ml) in all of the motion parameters assessed, yielding the highest ICC (0.81) at 25 x 10 6 spermatozoa/ml. No significant differences (P > 0.05) in SCA read-outs were found between the number of microscopic fields captured (1, 2, 3, 4, or 5 fields), yielding the highest ICC (0.83) when 3 fields were captured. No significant differences (P > 0.05) in motility parameters were found between the number of cells analyzed in each field (20, 50, and 100 spermatozoa) with the exception of beat cross frequency. Reliability of the SCA was good (ICC = 0.71 to 0.90) for all motility measurements when 20 (ICC = 0.89) or 50 (ICC = 0.77) cells were captured in each field, but only just acceptable (ICC = 0.51 to 0.70) when 100 cells were counted (ICC = 0.67). The frame settings significantly (P < 0.05) influenced most of the measured motility characteristics. Scanning 60 frames at a frame rate of 30 Hz improved the reliability of the results (ICC = 0.92). In conclusion, we suggest that the measurements with the SCA are ideally performed at a sperm concentration of 25 x 10 6 spermatozoa/ml, counting at least 100 cells in three microscopic fields. We also propose that the SCA should analyze 60 frames at 30 Hz to yield consistent results of a set of measurements or a measuring instrument thus obtaining reliable motility results.

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“…The introduction of computer-assisted sperm analysis (CASA) eliminated variations due to subjective evaluation but this apparatus is expensive [8][9][10][11][12][13] and has not enjoyed wide acceptance. Meanwhile, the sperm quality analyzer (SQA), which measures sperm count and motility by the optical method, was introduced as a simple and inexpensive alternative 14,15) . The third approach is the biochemical method (MTT method) which measures color changes in the tetrazolium reaction to mitochondrial reductase by absorption spectrometry reflecting the overall numerical and functional power of sperm activity 16,17) .…”

Section: Introductionmentioning

confidence: 99%

Comparative Investigation of Several Sperm Analysis Methods for Evaluation of Spermatotoxicity of Industrial Chemical: 2-Bromopropane as an Example.

et al. 2004

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Reproductive toxicity of 2-bromopropane (2BP), a substitute for ozone layer-depleting chloro-fluorocarbon, was found among the workers in an electronics factory in Korea in 1995. Furthermore the importance of testicular toxicity has been realized since the problem of endocrine disruptors arose all over the world, but manual methods must rely on subjective assessment. Recently, computer-assisted sperm analysis (CASA) was proposed but this system requires vast investment. We then investigated the applicability of the MTT method with a microplate and sperm quality analyzer (SQA) as simple, rapid, and economic instrumental methods for the examination of sperm quality in rats, comparing it with the manual microscopic method and CASA. Epididymal fluid derived from male F344/N Slc (Fischer) rats intraperitoneally injected with 2BP in the dose range of 125-1,000 mg/kg/d twice a week (total 8 times) were examined by these methods as a model experiment. Sperm count measured by the manual method and CASA in the epididymal fluid, absorbance by the MTT method and sperm motility index value by the SQA method were significantly lower in the 2BP 1,000 mg/kg administered group than in the control group. This result suggests that the MTT method can detect oligospermia. With the microplate and microplate reader, the efficiency of detection becomes much better. Sperm analyses by the MTT method with the microplate reader and the SQA method are available for reproductive toxicity study in rats.

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Sperm motility index: a new parameter for human sperm evaluation

Cited by 63 publications

References 9 publications

Usefulness of Sperm Quality Analyzer-v (Sqa-V) for the Assessment of Sperm Quality in Infertile Men

Usefulness of Sperm Quality Analyzer-v (Sqa-V) for the Assessment of Sperm Quality in Infertile Men

Influence of sampling factors on canine sperm motility parameters measured by the Sperm Class Analyzer

Comparative Investigation of Several Sperm Analysis Methods for Evaluation of Spermatotoxicity of Industrial Chemical: 2-Bromopropane as an Example.

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