Quantitative methods for the analysis of dynamic fluorescence images with application to astroglial cells

Siamak Khatibi, Fredrik Blomstrand, Hakan Muyderman, Torsten Olsson

Research output: Book/ReportCommissioned reportpeer-review


We describe two new automatic image processing techniques for the study of cell state and spatial
propagation of calcium waves in cultured astroglial cells. These techniques are based on fluorescent
microscopy images combined with algorithms developed for image segmentation, intensity analyses of
fluorescent images and image motion.
In cell state studies we describe a method for fully automatic determination of cell state by analyzing its
non-linear transient state. Also, in these studies we explain a method to measure velocity of a wave of
increased fluorescence which propagates from cell to cell. For this method we discuss two algorithms of
measuring a distance between two cell regions.
Two software procedures are developed. In the first procedure, based on the cell state determination,
makes it possible to automatically segment the cell regions from a background, compute velocity of the
calcium wave from the stimulated cell to the other cells in the microscope field. The velocity
computation is based on the distance between each two cells and time-delay of calcium wave as it
moves from one cell to another. In the second procedure, based on the spatial propagation, we are able
to calculate the area of calcium wave propagation. The procedures are implemented in MATLAB.
Original languageEnglish
Place of PublicationGothenburg
PublisherChalmers university of Technology -Technical report No 53X
Number of pages32
Publication statusPublished - 1996
Externally publishedYes


  • image processing
  • cell state
  • astroglial cells


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