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The future of computer-aided sperm analysis.

Mortimer ST, van der Horst G, Mortimer D - Asian J. Androl. (2015 Jul-Aug)

Bottom Line: CASA has also been used with great success for measuring semen characteristics such as sperm concentration and proportions of progressive motility in many animal species, including wide application in domesticated animal production laboratories and reproductive toxicology.However, attempts to use CASA for human clinical semen analysis have largely met with poor success due to the inherent difficulties presented by many human semen samples caused by sperm clumping and heavy background debris that, until now, have precluded accurate digital image analysis.Specific requirements for validating CASA technology as a semi-automated system for human semen analysis are also provided, with particular reference to the accuracy and uncertainty of measurement expected of a robust medical laboratory test for implementation in clinical laboratories operating according to modern accreditation standards.

View Article: PubMed Central - PubMed

Affiliation: Oozoa Biomedical, West Vancouver, BC, Canada.

ABSTRACT
Computer-aided sperm analysis (CASA) technology was developed in the late 1980s for analyzing sperm movement characteristics or kinematics and has been highly successful in enabling this field of research. CASA has also been used with great success for measuring semen characteristics such as sperm concentration and proportions of progressive motility in many animal species, including wide application in domesticated animal production laboratories and reproductive toxicology. However, attempts to use CASA for human clinical semen analysis have largely met with poor success due to the inherent difficulties presented by many human semen samples caused by sperm clumping and heavy background debris that, until now, have precluded accurate digital image analysis. The authors review the improved capabilities of two modern CASA platforms (Hamilton Thorne CASA-II and Microptic SCA6) and consider their current and future applications with particular reference to directing our focus towards using this technology to assess functional rather than simple descriptive characteristics of spermatozoa. Specific requirements for validating CASA technology as a semi-automated system for human semen analysis are also provided, with particular reference to the accuracy and uncertainty of measurement expected of a robust medical laboratory test for implementation in clinical laboratories operating according to modern accreditation standards.

No MeSH data available.


Related in: MedlinePlus

Comparison of methods for classification of capacitating sperm trajectories as HA or non-HA (Mortimer, unpublished data).
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Figure 5: Comparison of methods for classification of capacitating sperm trajectories as HA or non-HA (Mortimer, unpublished data).

Mentions: Using the Hamilton Thorn IVOS-II, a total of 6240 trajectories of human spermatozoa incubated under capacitating conditions were followed for 1 s at 60 Hz. Classification of tracks as HA or non-HA were compared using the published Boolean argument for HA (VCL ≥150 μm s−1 AND LIN ≤50% AND ALH ≥7.0 μm) as well as using D >1.30, D >1.20, and VCL ≥150 μm s−1 AND D ≥1.20 (Figure 5). As had been predicted, D alone was not consistent in trajectory classification, with D >1.20 and D >1.30 giving only 63% and 67% agreement, respectively, with the published Boolean argument for HA. However, the definition which included both VCL and D gave a 99% agreement with the published Boolean argument in classification of trajectories.


The future of computer-aided sperm analysis.

Mortimer ST, van der Horst G, Mortimer D - Asian J. Androl. (2015 Jul-Aug)

Comparison of methods for classification of capacitating sperm trajectories as HA or non-HA (Mortimer, unpublished data).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4492043&req=5

Figure 5: Comparison of methods for classification of capacitating sperm trajectories as HA or non-HA (Mortimer, unpublished data).
Mentions: Using the Hamilton Thorn IVOS-II, a total of 6240 trajectories of human spermatozoa incubated under capacitating conditions were followed for 1 s at 60 Hz. Classification of tracks as HA or non-HA were compared using the published Boolean argument for HA (VCL ≥150 μm s−1 AND LIN ≤50% AND ALH ≥7.0 μm) as well as using D >1.30, D >1.20, and VCL ≥150 μm s−1 AND D ≥1.20 (Figure 5). As had been predicted, D alone was not consistent in trajectory classification, with D >1.20 and D >1.30 giving only 63% and 67% agreement, respectively, with the published Boolean argument for HA. However, the definition which included both VCL and D gave a 99% agreement with the published Boolean argument in classification of trajectories.

Bottom Line: CASA has also been used with great success for measuring semen characteristics such as sperm concentration and proportions of progressive motility in many animal species, including wide application in domesticated animal production laboratories and reproductive toxicology.However, attempts to use CASA for human clinical semen analysis have largely met with poor success due to the inherent difficulties presented by many human semen samples caused by sperm clumping and heavy background debris that, until now, have precluded accurate digital image analysis.Specific requirements for validating CASA technology as a semi-automated system for human semen analysis are also provided, with particular reference to the accuracy and uncertainty of measurement expected of a robust medical laboratory test for implementation in clinical laboratories operating according to modern accreditation standards.

View Article: PubMed Central - PubMed

Affiliation: Oozoa Biomedical, West Vancouver, BC, Canada.

ABSTRACT
Computer-aided sperm analysis (CASA) technology was developed in the late 1980s for analyzing sperm movement characteristics or kinematics and has been highly successful in enabling this field of research. CASA has also been used with great success for measuring semen characteristics such as sperm concentration and proportions of progressive motility in many animal species, including wide application in domesticated animal production laboratories and reproductive toxicology. However, attempts to use CASA for human clinical semen analysis have largely met with poor success due to the inherent difficulties presented by many human semen samples caused by sperm clumping and heavy background debris that, until now, have precluded accurate digital image analysis. The authors review the improved capabilities of two modern CASA platforms (Hamilton Thorne CASA-II and Microptic SCA6) and consider their current and future applications with particular reference to directing our focus towards using this technology to assess functional rather than simple descriptive characteristics of spermatozoa. Specific requirements for validating CASA technology as a semi-automated system for human semen analysis are also provided, with particular reference to the accuracy and uncertainty of measurement expected of a robust medical laboratory test for implementation in clinical laboratories operating according to modern accreditation standards.

No MeSH data available.


Related in: MedlinePlus