title: Use of multivariate statistics to identify unreliable data obtained using CASA.
abstract: In order to identify unreliable data in a dataset of motility parameters obtained from a pilot study acquired by a veterinarian with experience in boar semen handling, but without experience in the operation of a computer assisted sperm analysis (CASA) system, a multivariate graphical and statistical analysis was performed. Sixteen boar semen samples were aliquoted then incubated with varying concentrations of progesterone from 0 to 3.33 µg/ml and analyzed in a CASA system. After standardization of the data, Chernoff faces were pictured for each measurement, and a principal component analysis (PCA) was used to reduce the dimensionality and pre-process the data before hierarchical clustering. The first twelve individual measurements showed abnormal features when Chernoff faces were drawn. PCA revealed that principal components 1 and 2 explained 63.08% of the variance in the dataset. Values of principal components for each individual measurement of semen samples were mapped to identify differences among treatment or among boars. Twelve individual measurements presented low values of principal component 1. Confidence ellipses on the map of principal components showed no statistically significant effects for treatment or boar. Hierarchical clustering realized on two first principal components produced three clusters. Cluster 1 contained evaluations of the two first samples in each treatment, each one of a different boar. With the exception of one individual measurement, all other measurements in cluster 1 were the same as observed in abnormal Chernoff faces. Unreliable data in cluster 1 are probably related to the operator inexperience with a CASA system. These findings could be used to objectively evaluate the skill level of an operator of a CASA system. This may be particularly useful in the quality control of semen analysis using CASA systems.
authors: Departamento de Biología de la Reproducción, Universidad Autónoma Metropolitana Iztapalapa, Distrito Federal, México.
authors: Luis Becerril
authors: LB
authors: Martínez
authors: Rubén Huerta
authors: RH
authors: Crispín
authors: Maximino Méndez
authors: MM
authors: Mendoza
authors: Oswaldo Hernández
authors: OH
authors: Gallegos
authors: Andrés Aragón
authors: AA
authors: Martínez
mesh_terms: D000818:Animals; D002359:Cartoons as Topic; D016000:Cluster Analysis; D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D006801:Humans; D008297:Male; D015233:Models, Statistical; D015999:Multivariate Analysis; D010865:Pilot Projects; D025341:Principal Component Analysis; D011374:Progesterone / Q000494:pharmacology; D011786:Quality Control; D015203:Reproducibility of Results; D055101:Semen Analysis / Q000592:standards / Q000706:statistics & numerical data / Q000662:veterinary*; D013081:Sperm Motility / Q000187:drug effects; D013094:Spermatozoa / Q000187:drug effects / Q000473:pathology*; D013552:Swine
chemical_list: D011374:Progesterone