Ms. Agnieszka Sozanska Profile

Agnieszka Sozanska

at Instytut Fizyki

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Proceedings Article | 24 September 2005 Paper

Simple optical method of qualitative assessment of sperm motility: preliminary results

Agnieszka Sozanska, Krystyna Kolwas, Jacek Galas, Narcyz Blocki, Adam Czyzewski

Proceedings Volume 5959, 59590U (2005) https://doi.org/10.1117/12.622825

KEYWORDS: Microscopes, In vitro testing, Image processing, CCD cameras, Motion analysis, Visualization, Phase contrast, Statistical analysis, Data acquisition, Error analysis

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The examination of quality of the sperm ejaculate is one of the most important steps in artificial fertilization procedure. The main aim of semen storage centres is to characterise the best semen quality for fertilization. Reliable information about sperm motility is also one the most important parameters for in vitro laboratory procedures. There exist very expensive automated methods for semen analysis but they are unachievable for most of laboratories and semen storage centres. Motivation for this study is to elaborate a simple, cheap, objective and repeatable method for semen motility assessment. The method enables to detect even small changes in motility introduced by medical, physical or chemical factors. To test the reliability of the method we used cryopreserved bull semen from Lowicz Semen Storage Centre. The examined sperm specimen was warmed in water bath and then centrifuged. The best semen was collected by the swim-up technique and diluted to a proper concentration. Several semen concentrations and dilutions were tested in order to find the best probe parameters giving repeatable results. For semen visualization we used the phase-contrast microscope with a CCD camera. A PC computer was used to acquire and to analyse the data. The microscope table equipped with a microscope glass pool 0.7mm deep instead of some conventional plane microscope slides was stabilised at the temperature of 37°C. The main idea of our method is based on a numerical processing of the optical contrast of the sperm images which illustrates the dynamics of the sperm cells movement and on appropriate analysis of a grey scale level of the superimposed images. An elaborated numerical algorithm allows us to find the relative amount of motile sperm cells. The proposed method of sperm motility assessment seems to be objective and repeatable.

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