Functional morphological evolution of neurones in culture
Semester Project, June 2001
A cell by holographic microscopy
The goal of the project was to realize a plugin for ImageJ which could be use to determine and visualize the evolution of a cell's contour and volume in a sequence of images that are aquired by holographic microscopy. The gray level in images of that kind is linked with the cell thickness. That means one can determine the volume by integrating the gray values inside the cell knowing it's boundary.
Method: Using the SNAKES
To track the contour of a particular cell, we are using "snakes". A snake is an active contour which is a closed curve (i.e. periodic). The user initializes a first curve around the cell and an algorithme determines a final curve that fits the cell's bondary. For the next image, the final curve of the previous image is used as the initial image.
The plugin is used to:
Initializing the curve:
The algorithm finds the cell's boundary:
The evolution is plotted:
This picture represents the evolution of the area (top left) and the volume (top right) of a 340 images sequence. As there is some noise, the graphs have been smoothed (bottom). This smoothing function is not available in the plugin (it was done with Matlab).
The plugin works and it is possible to follow the evolution (area and volume) of a cell in a sequence of images.