Neuronal 3D distribution reconstruction method based on data from series of real 2D-images of brain sections
- 1 Post-graduate Student, MPTI Probationer Researcher, Kotel-nikov Institute of Radio Engineering, and Electronics Russian Academy of Sciences
- 2 Dr.Sc. (Phis.-Math.), Professor, Correspondent Member, Deputy Director, Kotel-nikov Institute of Radio Engineering, and Electronics Russian Academy of Sciences
- 3 Ph.D. (Phis.-Math.), Senior Researcher, Kotel-nikov Institute of Radio Engineering, and Electronics Russian Academy of Sciences
Abstract
Results of the development of reconstruction algorithm of three-dimensional distributions of neurons, previously recognized by microscopic images of brain slices of animals, are presented. The adaptation of the EM-clustering algorithm to highlight groups of neurons in slices is considered. Authors propose a polynomial interlayer approximation of the parameters of two-dimensional neuronal distributions.
How to cite
Евсеев О.В., Никитов С.А., Анциперов В.Е. Метод параметрической реконструкции трехмерных распределений нейронов по серии изображений двумерных срезов головного мозга мышей // Нелинейный мир. 2014. № 2. С. 28–29.
References
- http://www.machinelearning.ru
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