000109016 001__ 109016
000109016 005__ 20211216151746.0
000109016 0247_ $$2doi$$a10.1071/RD17551
000109016 0248_ $$2sideral$$a106852
000109016 037__ $$aART-2018-106852
000109016 041__ $$aeng
000109016 100__ $$aBompart, D.
000109016 245__ $$aCASA-Mot technology: how results are affected by the frame rate and counting chamber
000109016 260__ $$c2018
000109016 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109016 5203_ $$aFor 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 10 mm are the most frequently used, whereas for most farm animal species it is more common to use disposable chambers with a depth of 20 mm. 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.
000109016 536__ $$9info:eu-repo/grantAgreement/EC/H2020/642893/EU/Improved production strategies for endangered freshwater species/IMPRESS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 642893-IMPRESS$$9info:eu-repo/grantAgreement/ES/MINECO/AGL2014-52775-P
000109016 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000109016 590__ $$a1.723$$b2018
000109016 591__ $$aZOOLOGY$$b42 / 170 = 0.247$$c2018$$dQ1$$eT1
000109016 591__ $$aDEVELOPMENTAL BIOLOGY$$b31 / 42 = 0.738$$c2018$$dQ3$$eT3
000109016 591__ $$aREPRODUCTIVE BIOLOGY$$b24 / 29 = 0.828$$c2018$$dQ4$$eT3
000109016 592__ $$a0.716$$b2018
000109016 593__ $$aAnimal Science and Zoology$$c2018$$dQ1
000109016 593__ $$aBiotechnology$$c2018$$dQ1
000109016 593__ $$aDevelopmental Biology$$c2018$$dQ1
000109016 593__ $$aReproductive Medicine$$c2018$$dQ1
000109016 593__ $$aGenetics$$c2018$$dQ1
000109016 593__ $$aMolecular Biology$$c2018$$dQ1
000109016 593__ $$aEndocrinology$$c2018$$dQ1
000109016 655_4 $$ainfo:eu-repo/semantics/review$$vinfo:eu-repo/semantics/publishedVersion
000109016 700__ $$aGarcia-Molina, A.
000109016 700__ $$aValverde, A.
000109016 700__ $$aCaldeira, C.
000109016 700__ $$0(orcid)0000-0001-5316-1703$$aYaniz, J.$$uUniversidad de Zaragoza
000109016 700__ $$aNúñez de Murga, M.
000109016 700__ $$aSoler, C.
000109016 7102_ $$12008$$2700$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Producción Animal
000109016 773__ $$g30, 6 (2018), 810-819$$pReprod. fertil. dev.$$tREPRODUCTION FERTILITY AND DEVELOPMENT$$x1031-3613
000109016 8564_ $$s609159$$uhttps://zaguan.unizar.es/record/109016/files/texto_completo.pdf$$yVersión publicada
000109016 8564_ $$s2705266$$uhttps://zaguan.unizar.es/record/109016/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000109016 909CO $$ooai:zaguan.unizar.es:109016$$particulos$$pdriver
000109016 951__ $$a2021-12-16-12:52:25
000109016 980__ $$aARTICLE