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

Tomlinson, Mathew; Pooley, Karen A.; Simpson, Tracey; Newton, T.A.; Hopkisson, James; Jayaprakasan, K; Jayaprakasan, Rajisha; Naeem, Asad; Pridmore, Tony

doi:10.1016/j.fertnstert.2008.12.064

Cited by 76 publications

(67 citation statements)

References 23 publications

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“…These systems have demonstrated accuracy, precision and objectivity resulting in an opportunity for laboratories to standardize semen analysis [9,13].…”

Section: Discussionmentioning

confidence: 99%

“…These systems are pre-calibrated vs. manual analysis with strict conformity to WHO 5th Edition and follow regular quality control protocols [9]. Several studies have demonstrated that automated sperm analyzers could provide an accurate and highly correlated alternative to manual sperm analysis [9][10][11][12][13][14][15][16][17]. Basically, there are two categories of automated sperm analyzers on the market which can be characterized by their detection technology.…”

Section: Introductionmentioning

confidence: 99%

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Double-blind prospective study comparing two automated sperm analyzers versus manual semen assessment

Lammers¹,

Splingart

Barrière

et al. 2013

J Assist Reprod Genet

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Purpose Despite controversy regarding its clinical value, male fertility investigation mainly relies on semen analysis. Even though reference guidelines are available, manual sperm analysis still suffers from analytical variability, thus questioning the interest of automated sperm analysis systems. The aim of this study is to compared automated computerized semen analysis systems (SQA-V GOLD and CASA CEROS) to the conventional manual method in terms of accuracy and precision. Methods We included 250 men in this double-blind prospective study. The SQA-V GOLD (Medical Electronic Systems) and CEROS, CASA system (Hamilton Thorne) were compared to the standard manual assessment based on the WHO 5th Edition. The main outcome measures were sperm concentration, total sperm number, total motility, progressive motility, non-progressive motility, morphology, motile sperm concentration (MSC) and progressively motile sperm concentration (PMSC) with the three methods. Results Statistical analysis of the test results from the automated systems and the manual method demonstrated no significant differences for most of the semen parameters. The Spearman coefficients of rank correlation (rho) for CASA and the SQA-V GOLD automated systems vs. the manual method were: Sperm concentration (0.95 and 0.95), total sperm number (0.95 and 0.95), MSC (0.94 and 0.96) and PMSC (0.94 and 0.93) correspondingly. Concerning sperm morphology, both automated systems demonstrated high specificity (Sp) and negative predictive values (NPV), despite significantly different medians (CASA: 83.7 % for Sp and 95.2 % for NPV, SQA-V: 97.9 % for Sp and 92.5 %). The highest precision (lowest 95 % confidence interval for duplicate tests) for all semen variables was found in the SQA-V GOLD. Conclusions The advantages of using automated semen analysers are: Standardization, speed (lower turnaround time), precision, reduced potential for human error, automated data recording and less need for highly skilled professionals to run the systems. The disadvantages of using automated systems are: notably the problem with testing some atypical samples and the inability to perform an assessment of morphology abnormalities. Based on the results of this study, the SQA-V Gold demonstrated better agreement vs. the manual method. In conclusion, automated semen analyzers can be used for routine semen analysis providing rapid clinically acceptable results with higher precision, and positively impacting laboratory standardization.

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“…These systems have demonstrated accuracy, precision and objectivity resulting in an opportunity for laboratories to standardize semen analysis [9,13].…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Double-blind prospective study comparing two automated sperm analyzers versus manual semen assessment

Lammers¹,

Splingart

Barrière

et al. 2013

J Assist Reprod Genet

View full text Add to dashboard Cite

show abstract

“…Different computer-assisted methods for sperm analyses based on multiobject tracking, motility, and energy estimation have been developed [19,20]. Here, we use a common technique, for sperm speed measurement, known as Particle Image Velocimetry (PIV).…”

Section: Sperm Cells Trackingmentioning

confidence: 99%

Optomechatronic System For Automated Intra Cytoplasmic Sperm Injection

Shulev¹,

Tiankov²,

Ignatova³

et al. 2015

Journal of Theoretical and Applied Mechanics

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“…Microscopic examination can be done manually, however it takes a long inspection time to get more objective results because we must observe up to 10 fields of view per examination task [3]. In addition, the manual examination has other shortcomings: depending on the experience of the veterinarian [4], the occurrence of human error [4], subjective [5], [6], intra and inter observer variability [7], [8], and causing exhaustion to the observer. This paper discusses more primarily about the examination of motility.…”

Section: Introductionmentioning

confidence: 99%

“…If the trajectory can be formed with high precision, then the resulting parameters will have high precision as well. Therefore, the main problem is multisperm tracking to obtain a high precision sperm trajectory [8], [11]. Multisperm tracking sperm has specificity than multiobject tracking in general.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Multisperm Tracking for Sperm Motility Measurement

Hidayatullah¹,

Mengko²,

Munir³

2017

IJMLC

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Abstract-Sperm motility is the main criterion in evaluating the quality of semen. Sperm motility measurements can be done in many ways. But the most effective way is to simultaneously track all sperm and calculate the motility parameters of Computer Aided Sperm Analysis (CASA). Based on those parameters, the sperm motility was categorized and the percentage of motile sperm was calculated. This paper presents the analysis of the currently available multisperm tracking methods for sperm motility measurement. In this paper, we discuss why sperm motility is an important parameter for assessing sperm quality and compare several multisperm tracking methods along with an analysis of their advantages and disadvantages. It can be concluded that the main problem in sperm motility measurement is having a good multisperm tracking to obtain precise sperm paths with an efficient computation on semen with high sperm concentrations. If the generated path precision is high, then the CASA parameters calculation results will better describe the actual sperm motility conditions. None of the existing methods can produce precise trajectories in complex cases yet. The complex case is, especially, when sperms collide or cover each other in the situation of large sperm counts appears in one microscope field of view.

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

Cited by 76 publications

References 23 publications

Double-blind prospective study comparing two automated sperm analyzers versus manual semen assessment

Double-blind prospective study comparing two automated sperm analyzers versus manual semen assessment

Optomechatronic System For Automated Intra Cytoplasmic Sperm Injection

A Survey on Multisperm Tracking for Sperm Motility Measurement

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