Article or book title, author's surname, DOI

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

O.V. Evseev1, S.A. Nikitov2, V.E. Antciperov3

research article Pages: 28-29

  1. 1 Post-graduate Student, MPTI Probationer Researcher, Kotel-nikov Institute of Radio Engineering, and Electronics Russian Academy of Sciences
  2. 2 Dr.Sc. (Phis.-Math.), Professor, Correspondent Member, Deputy Director, Kotel-nikov Institute of Radio Engineering, and Electronics Russian Academy of Sciences
  3. 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

  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.