Neural image analysis in the process of quality assessment: domestic pig oocytes

P. Boniecki; J. Przybył; T. Kuzimska; W. Mueller; B. Raba; A. Lewicki; K. Przybył; M. Zaborowicz; K. Koszela

doi:10.1117/12.2064214

16 April 2014 Neural image analysis in the process of quality assessment: domestic pig oocytes

P. Boniecki, J. Przybył, T. Kuzimska, W. Mueller, B. Raba, A. Lewicki, K. Przybył, M. Zaborowicz, K. Koszela

Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91590Q (2014) https://doi.org/10.1117/12.2064214
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece

Abstract

The questions related to quality classification of animal oocytes are explored by numerous scientific and research centres. This research is important, particularly in the context of improving the breeding value of farm animals. The methods leading to the stimulation of normal development of a larger number of fertilised animal oocytes in extracorporeal conditions are of special importance. Growing interest in the techniques of supported reproduction resulted in searching for new, increasingly effective methods for quality assessment of mammalian gametes and embryos. Progress in the production of in vitro animal embryos in fact depends on proper classification of obtained oocytes. The aim of this paper was the development of an original method for quality assessment of oocytes, performed on the basis of their graphical presentation in the form of microscopic digital images. The classification process was implemented on the basis of the information coded in the form of microphotographic pictures of the oocytes of domestic pig, using the modern methods of neural image analysis.

Citation Download Citation

P. Boniecki, J. Przybył, T. Kuzimska, W. Mueller, B. Raba, A. Lewicki, K. Przybył, M. Zaborowicz, and K. Koszela "Neural image analysis in the process of quality assessment: domestic pig oocytes", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91590Q (16 April 2014); https://doi.org/10.1117/12.2064214

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