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Neuronal 3D distribution reconstruction method based on data from series of real 2D-images of brain sections

Keywords:

O.V. Evseev – Post-graduate Student, MPTI Probationer Researcher, Kotel’nikov Institute of Radio Engineering, and Electronics Russian Academy of Sciences. E-mail: ev.mipt@gmail.com
S.A. Nikitov – Dr.Sc. (Phis.-Math.), Professor, Correspondent Member, Deputy Director, Kotel’nikov Institute of Radio Engineering, and Electronics Russian Academy of Sciences. E-mail: nikitov@cplire.ru
V.E. Antciperov – Ph.D. (Phis.-Math.), Senior Researcher, Kotel’nikov Institute of Radio Engineering, and Electronics Russian Academy of Sciences. E-mail: antciperov@cplire.ru


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.
References:

  1. http://www.machinelearning.ru
  2. Obuxov Ju.V., Ancziperov V.E., Evseev O.V. Sistema komp'yuternoj rekonstrukczii 3D-raspredelenij nejronov na osnove apriornoj morfologicheskoj informaczii i serij izobrazhenij 2D-srezov golovnogo mozga // Zhurnal radioe'lektroniki: e'lektronny'j zhurnal. 2012. № 7.

June 24, 2020
May 29, 2020

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