Optimization of CASA-Mot Analysis of Donkey Sperm: Optimum Frame Rate and Values of Kinematic Variables for Different Counting Chamber and Fields DOI Creative Commons
Sabrina Gacem, Jaime Catalán, Anthony Valverde

et al.

Animals, Journal Year: 2020, Volume and Issue: 10(11), P. 1993 - 1993

Published: Oct. 29, 2020

In order to optimize the donkey sperm motility analysis by CASA (Computer Assisted Sperm Analysis)-Mot system, twelve ejaculates were collected from six jackasses. Capillary loaded chamber (CLC), ISAS®D4C depths 10 and 20 µm, Leja drop displacement (DDC), Spermtrack® (Spk) µm used. kinematic variables evaluated using each a high-resolution camera capable of capturing maximum 500 frames/second (fps). The optimum frame rate (OFR) (defined according curvilinear velocity-VCL) was dependent on type. highest OFR obtained 278.46 fps Spk20. Values for VCL, straight-line velocity (VSL), straightness (STR), amplitude lateral head (ALH) beat cross frequency (BCF) high in DDC depth. both velocities (VCL, VSL, VAP) ALH values decreased significantly centre edges, while Wobble BCF increased. No defined behavior observed along CLC. However, all had higher value highly concentrated sample, types. conclusion, analyzing minimum nine fields at 250 edges Spk10 dilution 30 × 106 sperm/mL offers best choice computerised analysis.

Language: Английский

Advances in sperm cryopreservation in farm animals: Cattle, horse, pig and sheep DOI Creative Commons
Iván Yánez-Ortiz, Jaime Catalán, Joan E. Rodríguez‐Gil

et al.

Animal Reproduction Science, Journal Year: 2021, Volume and Issue: 246, P. 106904 - 106904

Published: Dec. 3, 2021

Sperm cryopreservation is one of the most important procedures in development biotechnologies for assisted reproduction. In some farm animals, use cryopreserved sperm has so many benefits which relevance become more evident recent decades. Values post-thaw quality, however, are variable among species and within individuals same species. There no standardized methodology each stages procedure (andrological examination, semen collection, dilution, centrifugation, resuspension pellet with freezing medium, packaging, evaluation), also contributes to differences studies. Cryotolerance markers seminal plasma (SP) have been evaluated prediction ejaculate freezability. addition, previous research, there a focus on supplementing media different substances, such as enzymatic non-enzymatic antioxidants. studies, inclusion these substances led improved quality fertilizing capacity result minimizing adverse effects structure function. Another approach cryoprotectants. The aim this review article provide an update animals. main detrimental described, including negative repercussion reproductive performance. Furthermore, potential molecular biomarkers predict cryotolerance discussed, well addition that can mitigate harmful impact thawing sperm.

Language: Английский

Citations

112

CASA-Mot technology: how results are affected by the frame rate and counting chamber DOI Creative Commons
Daznia Bompart,

Almudena García‐Molina,

Anthony Valverde

et al.

Reproduction Fertility and Development, Journal Year: 2018, Volume and Issue: 30(6), P. 810 - 810

Published: Jan. 1, 2018

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

Language: Английский

Citations

70

Motility Assessment of Ram Spermatozoa DOI Creative Commons
Madeleine Van de Hoek, Jessica P. Rickard, G. de

et al.

Biology, Journal Year: 2022, Volume and Issue: 11(12), P. 1715 - 1715

Published: Nov. 26, 2022

For successful fertilisation to occur, spermatozoa need successfully migrate through the female reproductive tract and penetrate oocyte. Predictably, poor sperm motility has been associated with low rates of in many mammalian species, including ram. As such, is one most important parameters used for vitro evaluation ram quality function. This review aims outline mechanical energetic processes which underpin motility, describe changes occur as a result differences structure surrounding microenvironment, assess effectiveness various methods rams. Methods subjective estimation are convenient, inexpensive widely livestock industries, however, nature these can make them unreliable. Computer-assisted analysis (CASA) technology accurately objectively measures via two-dimensional tracing head motion, making it popular method assurance domesticated animal production laboratories. Newly developed assessment flagellar tracing, three-dimensional vivo assessment, molecular assays quantify motility-associated biomarkers, enable new range motion potential reveal mechanistic insights improve semen assessment. Experimental application technologies required fully understand their prediction success ovine artificial breeding programs.

Language: Английский

Citations

30

Current perspectives of CASA applications in diverse mammalian spermatozoa DOI
Gerhard van der Horst, Liana Maree, Stefan S. du Plessis

et al.

Reproduction Fertility and Development, Journal Year: 2018, Volume and Issue: 30(6), P. 875 - 875

Published: Jan. 1, 2018

Since the advent of computer-aided sperm analysis (CASA) some four decades ago, advances in computer technology and software algorithms have helped establish it as a research diagnostic instrument for spermatozoa. Despite mammalian spermatozoa being most diverse cell type known, CASA is great tool that has capacity to provide rapid, reliable objective quantitative assessment quality. This paper provides contemporary findings illustrating scientific commercial applications its ability evaluate (human, primates, rodents, domestic mammals, wildlife species) at both structural functional levels. The potential quantitatively measure essential aspects related subpopulations, hyperactivation, morphology morphometry also demonstrated. Furthermore, are provided improved quality assessment, evaluation functionality effect different chemical substances or pathologies on fertilising ability. It clear evolved significantly currently superior many manual techniques clinical setting.

Language: Английский

Citations

56

Effect of frame rate capture frequency on sperm kinematic parameters and subpopulation structure definition in boars, analysed with a CASA‐Mot system DOI
Anthony Valverde,

Mónica Madrigal,

Carina Caldeira

et al.

Reproduction in Domestic Animals, Journal Year: 2018, Volume and Issue: 54(2), P. 167 - 175

Published: Sept. 1, 2018

Contents Motility is the most widely used indicator of sperm quality. Computer‐Assisted Semen Analysis ( CASA ) allows objective evaluation motility parameters. technology a common tool to predict semen doses in farm animal reproduction. The kinds video cameras until now for image acquisition have presented limited frame rates FR ), which negative influence on quality obtained data. aim present work was define optimal rate correct boar and its subpopulation structure. Eighteen ejaculates from nine mature boars Pietrain breed were used. Using ISAS ® v1 ‐Mot system, with camera working up 200 Hz, six s (25, 50, 75, 100, 150 fps) compared. D4C20 counting chambers, warmed 37°C, affected all kinematic parameters, curvilinear velocity VCL BCF sensitive ones. All parameters showed differences among animals. Non‐linear correlation asymptotic level at 212 fps, being highest For future studies based just progressive motility, almost 100 fps 0.5 must be used, while when kinematics considered, one‐second should analysed. Three principal components (velocity, progressivity oscillation), similar 50 fps. Cells grouped four subpopulations but different cellular distribution both s.

Language: Английский

Citations

41

Computer Aided Sperm Analysis (CASA) in domestic animals: Current status, three D tracking and flagellar analysis DOI
Gerhard van der Horst

Animal Reproduction Science, Journal Year: 2020, Volume and Issue: 220, P. 106350 - 106350

Published: April 4, 2020

Language: Английский

Citations

35

Boar Sperm Motility Assessment Using Computer-Assisted Sperm Analysis: Current Practices, Limitations, and Methodological Challenges DOI Creative Commons

Lenka Hackerová,

Aneta Pilsova,

Zuzana Pilsova

et al.

Animals, Journal Year: 2025, Volume and Issue: 15(3), P. 305 - 305

Published: Jan. 22, 2025

Spermatozoa are highly specialized male cells that characterized by a unique ability to move, which is critical factor for successful fertilization. The relative simplicity of motility assessment, especially in livestock, has made it widely used parameter evaluating ejaculate quality or cryopreserved semen the clinical field, and an advanced tool reproductive physiology toxicology research. Technological advances image analysis computational methods have substantially increased its accuracy through use computer-assisted sperm (CASA) minimize subjective bias assessments. Nevertheless, this more objective method still presents some significant challenges, including variability sample preparation, imaging conditions, analytical parameters. These issues contribute inconsistency impair reproducibility comparability data between laboratories. implementation standardized protocols, combined with comprehensive training rigorous evaluation, can serve mitigate emerging inconsistencies. In addition, vitro conditions under CASA analyses performed often differ significantly from natural environment female tract vivo. This review discusses methodologies, issues, limitations using CASA, particular focus on boar as important agricultural biomedical model species system used.

Language: Английский

Citations

0

An update on boar semen assessments by flow cytometry and CASA DOI
G. Boe-Hansen, Nana Satake

Theriogenology, Journal Year: 2019, Volume and Issue: 137, P. 93 - 103

Published: June 4, 2019

Language: Английский

Citations

33

Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches DOI Creative Commons
Luis Víquez, Vinicio Barquero, Carles Soler

et al.

Biology, Journal Year: 2020, Volume and Issue: 9(6), P. 138 - 138

Published: June 26, 2020

The ejaculate is heterogenous and sperm sub-populations with different kinematic patterns can be identified in various species. Nevertheless, although these are statistically well defined, the statistical differences not always relevant. aim of present study was to characterize from two bovine species, diluted commercial extenders, determine relevance through Bayesian analysis. Semen 10 bulls evaluated after thawing. An ISAS®v1 computer-assisted analysis (CASA)-Mot system employed an image acquisition rate 50 Hz ISAS®D4C20 counting chambers. Sub-populations motile spermatozoa were characterized using multivariate procedures such as principal components (PCs) clustering methods (k-means model). Four three PCs that involved progressiveness, velocity, cell undulatory movement. proportions varied extender used Despite a difference (p < 0.05) between confirmed only one them (Triladyl®) presented relevant when compared Tris-EY OptiXcell®. Extenders differed proportion cells each sub-populations. Similar Bos taurus indicus. results indicate SP1, SP2, SP3 for PC criteria For linearity, SP4 did show regarding other classical approach or subpopulation thus may have direct biological meaning. Therefore, needs reevaluated.

Language: Английский

Citations

32

Assessments of sperm quality integrating morphology, swimming patterns, bioenergetics and cell signalling DOI
Eduardo R. S. Roldán

Theriogenology, Journal Year: 2020, Volume and Issue: 150, P. 388 - 395

Published: Feb. 11, 2020

Language: Английский

Citations

30