||Wood is becoming increasingly important as a sustainable resource for biofuel production, which is not in competition with agricultural land use and food production. Arabidopsis is a good model plant for studding wood formation.
The purpose of this project is to discover novel genes, which are important in the regulation of the chemical composition of cell walls as well as in the balance between different cell types. To this end, we need to screen large populations of mutants and natural variants. A high-throughput immunohistochemistry method was established which helps us to determine the chemical composition on a single cell level. In order to deal with this vast amount of information (up to 10 000 cells per image), automated image processing and analysis is needed. We have developed a method for segmenting cells and classifying them based on their morphology. The next step will be including immunohistochemistry information.