Literature DB >> 19200972

Validation of a novel computer-assisted sperm analysis (CASA) system using multitarget-tracking algorithms.

Mathew James Tomlinson1, Karen Pooley, Tracey Simpson, Thomas Newton, James Hopkisson, Kannamanadias Jayaprakasan, Rajisha Jayaprakasan, Asad Naeem, Tony Pridmore.   

Abstract

OBJECTIVE: To determine the accuracy and precision of a novel computer-assisted sperm analysis (CASA) system by comparison with existing recommended manual methods.
DESIGN: Prospective study using comparative measurements of sperm concentration and motility on latex beads and immotile and motile sperm.
SETTING: Tertiary referral fertility center with strong academic links. PATIENT(S): Sperm donors and male partners of couples attending for fertility investigations. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Achievement of Accubead target value for high and low concentration suspensions. Repeatability as demonstrated by coefficients of variation and intraclass correlation coefficients. Correlation and limits of agreement between CASA and manual methods. RESULT(S): The CASA measurements of latex beads and sperm concentrations demonstrated a high level of accuracy and repeatability. Repeated Accubead measurements attained the required target value (mean difference from target of 2.61% and 3.71% for high- and low-concentration suspensions, respectively) and were highly reproducible. Limits of agreement analysis suggested that manual and CASA counts compared directly could be deemed to be interchangeable. Manual and CASA motility measurements were highly correlated for grades a, b, and d but could not be deemed to be interchangeable, and manual motility estimates were consistently higher for motile sperm. CONCLUSION(S): The novel CASA system was able to provide semen quality measurements for sperm concentration and motility measurements which were at least as reliable as current manual methods. Copyright 2010 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19200972     DOI: 10.1016/j.fertnstert.2008.12.064

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


  14 in total

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5.  Automated smartphone-based system for measuring sperm viability, DNA fragmentation, and hyaluronic binding assay score.

Authors:  Irene Dimitriadis; Charles L Bormann; Manoj Kumar Kanakasabapathy; Prudhvi Thirumalaraju; Hemanth Kandula; Vinish Yogesh; Neeraj Gudipati; Vignesh Natarajan; John C Petrozza; Hadi Shafiee
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7.  How to optimize the benefits of computer assisted sperm analysis in experimental toxicology.

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Journal:  J Occup Med Toxicol       Date:  2013-03-11       Impact factor: 2.646

8.  Investigating the Glycating Effects of Glucose, Glyoxal and Methylglyoxal on Human Sperm.

Authors:  Clare Nevin; Lauren McNeil; Nessar Ahmed; Chris Murgatroyd; Daniel Brison; Michael Carroll
Journal:  Sci Rep       Date:  2018-06-13       Impact factor: 4.379

9.  Impact of leukocytospermia on sperm dynamic motility parameters, DNA and chromosomal integrity.

Authors:  Alaa Moubasher; Heba Sayed; Eman Mosaad; Ahmed Mahmoud; Fawzy Farag; Emad A Taha
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10.  Validation of a smartphone-based, computer-assisted sperm analysis system compared with laboratory-based manual microscopic semen analysis and computer-assisted semen analysis.

Authors:  Won Hee Cheon; Hyun Jun Park; Min Jung Park; Mi Young Lim; Jih Hoon Park; Byeong Jin Kang; Nam Cheol Park
Journal:  Investig Clin Urol       Date:  2019-08-06
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