### Abstract

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.

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 language | English |
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Place of Publication | Gothenburg |

Publisher | Chalmers university of Technology -Technical report No 53X |

Number of pages | 32 |

Publication status | Published - 1996 |

Externally published | Yes |

### Keywords

- image processing
- cell state
- astroglial cells

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## Cite this

Khatibi, S., Blomstrand, F., Muyderman, H., & Olsson, T. (1996).

*Quantitative methods for the analysis of dynamic fluorescence images with application to astroglial cells*. Chalmers university of Technology -Technical report No 53X.