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Author Kuri-Morales, A. F. ♦ Ortiz-Posadas, M. R. ♦ Zenteno, D. ♦ Peñaloza, R.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Sperm Cell ♦ Chromosomic Content ♦ Sample Drawn ♦ Trained Network ♦ Genetic Algorithm ♦ Priori Determination ♦ Posteriori Classification ♦ Male Sex ♦ Human Individual ♦ Certain Simple Measurement ♦ Fertilization Process ♦ Measurable Characteristic ♦ Desirable Goal ♦ Separated Sperm ♦ Non-invasive Verification ♦ High Degree ♦ Neural Network
Abstract A priori determination of the sex of a human individual before gestation is a desirable goal in some cases. To achieve this, it is necessary to perform the separation of sperm cells containing either X or Y chromosomes. As is well known, male sex depends on the presence of chromosome Y. Once this separation is achieved in principle, we require to determine, with a high degree of accuracy, whether the sperm cells of interest contain the desired X or Y chromosomes. If we are able to obtain certain simple measurements regarding the sperm cells under consideration we will be able to control the fertilization process reliably. In this paper we report a method which allows for non-invasive verification of the characteristics of the separated sperm. We determined a set of easily measurable characteristics. From a sample drawn from previously cropped sperm we trained a neural network with a genetic algorithm. The trained network was able to perform a posteriori classification with an error much smaller than 1%.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article