Automatic determination of cell division rate using microscope images

  • Authors:
  • K. V. Nekrasov;D. A. Laptev;D. P. Vetrov

  • Affiliations:
  • Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia 119991;Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia 119991;Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia 119991

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2013

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Abstract

Estimating the dynamics of cell culture development using fluorescent microscopy images is of great interest in modern cellular and molecular biology. In large-scale studies of cell populations involving a great number of images taken within a certain interval, manual analysis has proved to be time consuming and inaccurate; therefore, various computer-aided tools are required. This paper presents an efficient algorithm for recognizing budding cells and determining their division rate using microscope images. Image binarization using the Laplacian of the Gaussian; classifications of objects on cells, buds, and noise; and the determination of the cell division rate based on the data obtained are considered.