Today Klas presented his master thesis is Image Analysis of Yeast Cell Lineages.
Klas was working on the extraction of cell lineages from microscopy images displaying a growing yeast cell population. To do so, he has developed a program that is able to detect cells, track them over successive images and collect physical information of the cells, such as cell sizes, positions and mother-daughter relationships in the lineage.
To connect mothers to respective daughter cells in the lineage, the cell positions and the activity of a protein called Whi5 that indicates cell growth were used. Incorporating these two parameters, a measure to estimate the suitability of each mother-daughter connection was defined and used to reconstruct the complete lineage from the microscopy data.
Klas program enables reliable extraction of time-lapse imaging data that can in the future provide new insights into ageing.
Klas is continuing his adventures as a data scientist at Ericsson!