Differences in CASA output according to the chamber type when analyzing frozen-thawed bull sperm

Ibănescu, Iulian; Leiding, C.; Ciornei, Ştefan Gregore; Roşca, P.; Sfartz, Ioana; Drugociu, D.

doi:10.1016/j.anireprosci.2016.01.005

Cited by 21 publications

(18 citation statements)

References 28 publications

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“…The design of most chambers is such that there are changes in the width and shape of the space where the sample is distributed, which implies variations in the capillary forces when the semen is moving on, causing non-uniform distribution of spermatozoa (Douglas-Hamilton et al 2005a, 2005bIbȃnescu et al 2016). In contrast, when the chamber design is based on a thin parallel space, this problem is solved and the distribution of spermatozoa is uniform along the length of drop displacement (Soler et al 2012(Soler et al , 2014Del Gallego et al 2017; Fig.…”

Section: Effect Of Counting Chamber Type On Casa-mot Resultsmentioning

confidence: 99%

CASA-Mot technology: how results are affected by the frame rate and counting chamber

Bompart

García‐Molina

Valverde

et al. 2018

Reprod. Fertil. Dev.

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For over 30 years, CASA-Mot technology has been used for kinematic analysis of sperm motility in different mammalian species, but insufficient attention has been paid to the technical limitations of commercial computer-aided sperm analysis (CASA) systems. Counting chamber type and frame rate are two of the most important aspects to be taken into account. Counting chambers can be disposable or reusable, with different depths. In human semen analysis, reusable chambers with a depth of 10µm are the most frequently used, whereas for most farm animal species it is more common to use disposable chambers with a depth of 20µm . The frame rate was previously limited by the hardware, although changes in the number of images collected could lead to significant variations in some kinematic parameters, mainly in curvilinear velocity (VCL). A frame rate of 60 frames s-1 is widely considered to be the minimum necessary for satisfactory results. However, the frame rate is species specific and must be defined in each experimental condition. In conclusion, we show that the optimal combination of frame rate and counting chamber type and depth should be defined for each species and experimental condition in order to obtain reliable results.

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Section: Effect Of Counting Chamber Type On Casa-mot Resultsmentioning

confidence: 99%

CASA-Mot technology: how results are affected by the frame rate and counting chamber

Bompart

García‐Molina

Valverde

et al. 2018

Reprod. Fertil. Dev.

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show abstract

“…The highest quality of semen is indicated by high sperm general motility, VAP and VSL movement of sperm cells (Lenz et al, 2011;Ibănescu et al, 2016). To the best our knowledge, this is the first study that investigated the effect of EL aqueous extract added to tris-based egg yolk diluent on sperm kinetic motilities of frozen-thawed bull semen.…”

Section: Discussionmentioning

confidence: 92%

Kinetic Motilities of Cryopreserved Bull Spermatozoa: Owing to the Effect of <i>Eurycoma longifolia</i> Jack Aqueous Extract

Baiee¹,

Wahid²,

Yusoff³

et al. 2017

American Journal of Animal and Veterinary Sciences

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This study was carried out to improve the kinetic motilities of frozen-thawed bull semen diluted with tris-based egg yolk diluent that was supplemented with Eurycoma longifolia jack aqueous extract. A total of 24 ejaculates were obtained from six cross-bred bulls using an electro-ejaculator. The extract of Eurycoma longifolia jack was distributed into three low doses and three high doses; cryopreserved samples were evaluated into three different times to confirm the results of kinetic motilities through different times and between groups. Path velocity (VAP µm/s), progress velocity (VSL µm/s), track speed (VCL µm/s), lateral amplitude (ALH µm/s), Beat Frequency (BCF Hz), straightness (STR %), linearity (LIN %), were evaluated three different times using Computer-assisted sperm analysis. Results revealed that the percentage of VAP, ASL and VCL were higher (p<0.05) in the frozen-thawed semen group supplemented with 5 mg mL .54 in third evaluation; respectively). In conclusion, Eurycoma longifolia Jack aqueous extract supplementation to the semen diluent at 5 mg mL −1 significantly improved sperm kinetic motilities of frozen-thawed bull semen.

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“…Moreover, the image capture was obtained using a suitable illumination and focus configuration of a binocular microscope Leica model DM500 led, with digital camera, Wi-Fi model ICC50W. Each capture was taken immediately after thawing because sperm vitality decreases over time (Ibȃnescu et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Objective assessment of bull sperm motility parameters using computer vision algorithms

RodrÃguez-MontaÃ±a¹,

Roa-Guerrero²

2017

Afr. J. Biotechnol.

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The quality control of frozen semen samples from cattle is established by parameters such as percentage of progressive motility (% MP) because it is related to the fertilization capacity of bulls. Nowadays, sperm quality test is performed by direct visual inspection of sperm through a microscope in andrology laboratories. However, there is a high subjectivity in the observation and assessment depending on the observer; thus, causing unreliable diagnoses and non-repetitiveness in results. The development of a low cost computer tool was proposed to identify the individual sperm motility in cattle through the application of artificial vision algorithms. The methodology consisted of: the acquisition and pre-processing of videos obtained from thawed cryopreserved samples, the segmentation, filtering and detection of spermatozoa using the Fisher Discriminant Analysis and Adaptive Gaussian Models, followed by the assignment and construction of sperm trajectories through the Munkres Algorithm and Kalman Filter. Finally, the characterization and assessment of sperm motility parameters were performed based on the criteria present in computer-aided semen analysis (CASA) commercial systems. The results obtained showed high correlation for the individual sperm motility with a determination coefficient of 0.8143 for 10 different samples of bull sperm with respect to manual analysis. Likewise, a concordance coefficient of 0.966 was found in the 95% confidence interval using the Bland-Altman test, indicating that the measures were highly similar. In this way, the methodology is a reliable technological support that contributes to the improvement of quality control of semen samples from cattle.

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Differences in CASA output according to the chamber type when analyzing frozen-thawed bull sperm

Cited by 21 publications

References 28 publications

CASA-Mot technology: how results are affected by the frame rate and counting chamber

CASA-Mot technology: how results are affected by the frame rate and counting chamber

Kinetic Motilities of Cryopreserved Bull Spermatozoa: Owing to the Effect of <i>Eurycoma longifolia</i> Jack Aqueous Extract

Objective assessment of bull sperm motility parameters using computer vision algorithms

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