The application of computer-assisted semen analysis (CASA) technology to optimise semen evaluation. A review

Valverde, Anthony; Barquero, Vinicio; Soler, Carles

doi:10.22358/jafs/127691/2020

Cited by 17 publications

(16 citation statements)

References 96 publications

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“…The semen analysis has been frequently evaluated by measuring traditional variables such as volume, concentration and total motility (Lopez-Rodriguez et al, 2017;Valverde et al, 2020). However, the development of computer-assisted semen analysis (CASA) systems has allowed for the exploration of more spermatozoa variables (Amann & Waberski, 2014;Lu et al, 2014;Valverde et al, , , 2020. For example, CASA-Mot captures the real trajectory of spermatozoa and produces kinematic patterns (Gallagher et al, 2018;Lu et al, 2014), and CASA-Morph provides measurements of the size of sperm (Valverde & Madrigal-Valverde, 2018;Yániz et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…The semen analysis has been frequently evaluated by measuring traditional variables such as volume, concentration and total motility (Lopez‐Rodriguez et al., 2017; Valverde et al., 2020). However, the development of computer‐assisted semen analysis (CASA) systems has allowed for the exploration of more spermatozoa variables (Amann & Waberski, 2014; Lu et al., 2014; Valverde et al., ,2019, 2020).…”

Section: Introductionmentioning

confidence: 99%

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A Bayesian analysis of boar spermatozoa kinematics and head morphometrics and their relationship with litter size fertility variables

Barquero

Soler

Sevilla

et al. 2021

Reprod Domestic Animals

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The semen movement and sperm head size patterns of boar ejaculates were analysed using computer-assisted semen analysis (CASA)-Mot and -Morph systems. The aim of the present study was to compare morphometric and kinematics variables from boars and to determine the relationship with sow fertility variables related to litter size. The females were from maternal crossing schemes such as the continuous 3-generation cross between York (Y), Landrace (L), and Pietrain (P) hybrid sows and Pietrain boars. Semen samples were collected from 11 sexually mature boars from two sire lines. Samples were analysed using the ISAS ® v1 system to evaluate eight kinematic variables of sperm velocity, progressiveness and undulations. Four morphometric parameters of sperm head size (length, width, area and perimeter) were analysed. Bayesian analysis revealed relevant differences in four kinematic variables (VSL, LIN, STR and WOB) between sire lines, with a probability of relevance (P R ) of 0.79-0.91, and Pietrain boars were associated with higher progressive motility compared with Duroc x Pietrain boars. Moreover, there were relevant differences in all morphometric variables (P R = 0.82-0.85) between sire lines. The dam line Y-L-50 (½ Y × ½ L) had higher total born per litter and piglets born alive, and YLP-75 ( 1 / 8 Y × 1 / 8 L × 3 / 4 P) was associated with higher values of litter weight at birth (highest posterior density region at 95% = 9.92, 16.41 kg). There are relevant differences in kinematic variables between the assessed sire lines and the differences in morphometric and litter size variables were also relevant. The York-Landrace hybrid sows had higher total born per litter and piglets born alive, and there were relevant differences when compared with YLP-50 (¼ York × ¼ Landrace × ½ Pietrain). Differences in kinematic and morphometric variables between sire and dam lines related to fertility need to be further studied.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Bayesian analysis of boar spermatozoa kinematics and head morphometrics and their relationship with litter size fertility variables

Barquero

Soler

Sevilla

et al. 2021

Reprod Domestic Animals

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“…In South African indigenous unimproved bucks, induced oxidative stress increased LIN, STR and WOB with or without antioxidants, indicating that buck semen under oxidative stress can remain fertile despite the presence or absence of antioxidants [10] [17]. In cockerels, semen motility parameters such as TM, PM, and RAP have been extensively used to investigate fertility during cryopreservation or oxidative stress [12] [18]. The implications of the changes in the kinematic parameters following cryopreservation have received little attention.…”

Section: Introductionmentioning

confidence: 99%

The Response of Cockerel Semen Kinematic Parameters LIN, STR, WOB, ALH and BCF to Induced Oxidative Stress

Pilane¹,

Mapeka²

2021

OJAS

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Computer-assisted sperm class analyser (CASA) analysis of avian semen following cryopreservation indicates that their semen motility and viability parameters become compromised, due in part to oxidative stress. To mimic these observations we have treated cockerel semen with an oxidative stress inducing agent, namely hydrogen peroxide (H 2 O 2 ) and monitored the motility, kinematic and viability parameters over time. Briefly, five healthy and fertile South African Venda cockerels were selected and their semen was collected using the abdominal massage technique. The semen was then treated with H 2 O 2 at 0 µM, 5 µM, 50 µM and 200 µM concentrations for 0, 3, 16 and 24 hrs. The semen motility, kinematic and viability parameters were then determined using the CASA system while the viability was determined using the SYBR-14/PI staining. The Pearson's correlation coefficient was determined to test the relationships between the levels of induced oxidative stress, period of exposure to oxidative stress inducing agent and the motility plus kinematic parameters. Our data revealed that in raw cockerel semen, there was high and positive correlations between total motility (TM), progressive motility (PM), rapid (RAP), curvilinear velocity (VCL), straight line velocity (VSL) and average path velocity (VAP) while the kinematic parameters LIN, STR, WOB, ALH and BCF had low or negative correlations with them. Furthermore, TM, PM, RAP, VCL and VSL remained highly and positively correlated with the induced oxidative stress and also, linearity (LIN), straightness (STR), wobble (WOB), amplitude of lateral head displacement (ALH) and beat cross frequency (BCF) remained negatively correlated with the induced oxidative stress, after 3 hrs.

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“…Asimismo, la fertilidad puede estar asociada a múltiples factores del verraco, como el manejo, el intervalo de extracción (Lopez-Rodriguez et al, 2017), la concentración (Valverde et al, 2019d), la edad y la movilidad (Broekhuijse et al, 2012). Por lo tanto, el estudio de estos factores y los parámetros de la calidad del semen forman parte del avance tecnológico empleado a partir del análisis espermático por medio de los sistemas computarizados de análisis seminal (CASA, Computer Assisted Semen Analysis) (Valverde et al, 2019b(Valverde et al, , 2020.…”

Section: Introductionunclassified

“…Los sistemas CASA-Mot presentan variaciones debido a factores internos y externos al software (Valverde et al, 2020). Un factor importante de considerar en el análisis es la tasa de fotogramas (FR) utilizada (Valverde et al, 2019c).…”

Section: Introductionunclassified

Condiciones óptimas del análisis CASA-Mot del semen de verraco: efecto de la tasa de fotogramas para diferentes cámaras y campos de recuento espermático

Barquero

Sevilla

Calderón-Calderón

et al. 2021

Rev. investig. vet. Perú

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El objetivo del estudio fue determinar el efecto de la tasa de fotogramas sobre diferentes profundidades de cámara de recuento espermático en semen de verraco y analizar la distribución de los espermatozoides en los campos longitudinales de la cámara de conteo. Se colectó una muestra de semen a 10 verracos Pietrain de 2-3 años. Se determinaron ocho parámetros de cinética espermática mediante el sistema CASA (Computer-assisted semen analysis)-Mot (ISAS®v1). Se utilizaron cámaras ISAS®D4C con profundidades de 10, 16 y 20 μm a una frecuencia de captura de imagen de 25, 40 y 60 fotogramas por segundo (fps). La profundidad de cámara afectó las variables de cinética espermática, obteniéndose valores más altos a 20 µm. La tasa de fotogramas (FR) presentó una relación positiva con los parámetros de cinética obteniéndose valores más altos a 60 fps, excepto para la amplitud del desplazamiento lateral de la cabeza (ALH) que presentó un comportamiento inverso. La variable más sensible al cambio en FR fue la velocidad curvilínea (VCL), donde el mejor nivel se observó con 80 fps. Se observó una disminución progresiva en los patrones cinemáticos conforme los espermatozoides avanzaban por los campos de las cámaras. Se concluye que el uso de diferentes cámaras de recuento y el incremento en el número total de fps genera cambios significativos en la estimación de parámetros de cinética espermática en el verraco.

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The application of computer-assisted semen analysis (CASA) technology to optimise semen evaluation. A review

Cited by 17 publications

References 96 publications

A Bayesian analysis of boar spermatozoa kinematics and head morphometrics and their relationship with litter size fertility variables

A Bayesian analysis of boar spermatozoa kinematics and head morphometrics and their relationship with litter size fertility variables

The Response of Cockerel Semen Kinematic Parameters LIN, STR, WOB, ALH and BCF to Induced Oxidative Stress

Condiciones óptimas del análisis CASA-Mot del semen de verraco: efecto de la tasa de fotogramas para diferentes cámaras y campos de recuento espermático

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