Literature DB >> 8792219

Evaluation of computer-assisted semen analysis (CASA) with IDENT stain to determine sperm concentration.

M J Zinaman1, M L Uhler, E Vertuno, S G Fisher, E D Clegg.   

Abstract

This study was undertaken to compare a new fluorescent stain-based computer-assisted semen analysis (CASA) system (IDENT) for determining human sperm concentration to the manual hemacytometric method and to conventional CASA (CASA-CONV). Normal healthy semen donors as well as patients provided samples that were evaluated for sperm concentration with the CASA-IDENT method, the hemacytometer method, and CASA-CONV. Each field was examined visually to determine the sources of overcounting and undercounting for the two CASA methods. Four ranges of sperm concentration were examined: 0-10, > 10-30, > 30-100, and > 100 x 10(6)/ml. The main outcome measures were sperm concentration, debris counted as sperm, and missed sperm. Our results showed that significantly more debris was counted as sperm and more sperm were missed with CASA-CONV than CASA-IDENT. As the sperm density increased, so did the number of counting errors for the CASA-CONV system. The error rate was much greater using CASA-CONV (12.1 +/- 42.2%) than with CASA-IDENT (0.4 +/- 0.7%) when compared to hemacytometer counts (P = 0.068). We conclude that the CASA-IDENT method of sperm counting is highly accurate and less time-consuming when compared to the hemacytometer method. There are significant differences in the amount of debris counted as sperm and number of missed sperm between CASA-CONV and CASA-IDENT with varying sperm density. With both parameters, the counts are more accurate using the CASA-IDENT method.

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Year:  1996        PMID: 8792219

Source DB:  PubMed          Journal:  J Androl        ISSN: 0196-3635


  13 in total

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2.  Urinary Phytoestrogens Are Associated with Subtle Indicators of Semen Quality among Male Partners of Couples Desiring Pregnancy.

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3.  Persistent organic pollutants and semen quality: The LIFE Study.

Authors:  Sunni L Mumford; Sungduk Kim; Zhen Chen; Robert E Gore-Langton; Dana Boyd Barr; Germaine M Buck Louis
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4.  The effect of ambient air pollution on sperm quality.

Authors:  Craig Hansen; Thomas J Luben; Jason D Sacks; Andrew Olshan; Susan Jeffay; Lillian Strader; Sally D Perreault
Journal:  Environ Health Perspect       Date:  2010-02       Impact factor: 9.031

5.  Choice of underwear and male fecundity in a preconception cohort of couples.

Authors:  K J Sapra; M L Eisenberg; S Kim; Z Chen; G M Buck Louis
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6.  Lipid concentrations and semen quality: the LIFE study.

Authors:  E F Schisterman; S L Mumford; Z Chen; R W Browne; D Boyd Barr; S Kim; G M Buck Louis
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Review 7.  Methodological considerations for examining the relationship between sperm morphology and motility.

Authors:  Kristin A Hook; Heidi S Fisher
Journal:  Mol Reprod Dev       Date:  2020-05-16       Impact factor: 2.609

8.  Male urinary biomarkers of antimicrobial exposure and bi-directional associations with semen quality parameters.

Authors:  Melissa M Smarr; Masato Honda; Kurunthachalam Kannan; Zhen Chen; Sungduk Kim; Germaine M Buck Louis
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9.  The healthy men study: an evaluation of exposure to disinfection by-products in tap water and sperm quality.

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Review 10.  The future of computer-aided sperm analysis.

Authors:  Sharon T Mortimer; Gerhard van der Horst; David Mortimer
Journal:  Asian J Androl       Date:  2015 Jul-Aug       Impact factor: 3.285

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