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Comparative semen motion assisted methods . 1 Gabor G, 1 Nagy S, 2 Szasz F, 1 Dept. Cattle Breeding and Dept. Cell Biology , 2 Androvet Ltd., Budapest, Hungary, 3 Research Academy of Sciences Szent István University, . analysis by two computer in AI bulls . 3 Szigeti E, 4 Solymosi N, 1
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Comparative semen motion assisted methods 1Gabor G, 1Nagy S, 2Szasz F, 1Dept. Cattle Breeding and Dept. Cell Biology , 2Androvet Ltd., Budapest, Hungary, 3Research Academy of Sciences Szent István University,
analysis by two computerin AI bulls 3Szigeti E, 4Solymosi N, 1 Res. Inst. Animal Breed. Herceghalom, Hungary, Group for Animal Breed. of the Hungarian Gödöllő, 4Central Veterinary Institute, Budapest
INTRODUCTION • Examination of semen motility by computer assisted methods have been developed during the last 20 years. • SM-CMA (MTG GmbH, Altdorf, Germany) is one of the most widely used CASA method. • CASPAR (Pictron Ltd, Budapest, Hungary) is a currently developed computer assisted semen analyzing method.
OBJECTIVES • The aim of this study was to compare CASPAR with SM-CMA.
MATERIAL AND METHODSANIMALS Breed No. Age (month) German Fleckvieh724.8 ± 4.9 bulls
Semen samples were collected from 7 German-Fleckvieh breeding bulls and were extended 1:100 rate by Triladyl extender (Minitüb GmbH, Tiefenbach, Germany). Five-micro-liter drop of the diluted semen was placed into a Makler chamber (Sefi-Medical Instruments Ltd, Haifa, Israel) and was examined in a 20x neg. Phase Contrast trinocular (with a high resolution B/W camera) Olympus BX 40 microscope (with heated stage). Twelve microscopic field of each ejaculate were recorded on video tape and analyzed later with the above mentioned motion analyzing systems.Figure 1 shows an analyzed image.
Figure 1: The image prepared for the semen analysis. Non progressive motile cells Non motile cells Progressive motile cells
RESULTS • Data of the examinations are presented in Table 1. • Results of the statistical analysis are presented in Table 2.
DISCUSSION The non-motile %, motile % and progressive motile % of sperm cells showed a very high positive correlation (r=0.99, r=0.99 and r=0.98; P<0.0001), while average path velocity values did not correlated with each other.
CONCLUSIONS • These results suggest that valuable motility data can be obtained with both systems used video recorded images and this tendency is very promising for further data (image) exchanges between research groups used different motion analyzing methods.