| Title | Cell division detection on the arabidopsis thaliana root |
| Publication Type | Book |
| Year of Publication | 2009 |
| Authors | Marcuzzo, M, Guichard, T, Quelhas, P, Mendonça, AM, Campilho, A |
| Series Title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. |
| Volume | 5524 LNCS |
| Number of Pages | 168 - 175 |
| City | Povoa de Varzim |
| ISBN Number | 03029743 (ISSN); 3642021719 (ISBN); 9783642021718 (ISBN) |
| Keywords | A-stability, Arabidopsis thaliana, Automatic classifiers, Bioinformatics, Cell divisions, Cell membranes, cell proliferation, Cellular levels, confocal microscopy, Cross validation, Detection rates, Growth structures, Image analysis, In-plants, In-Vivo imaging, Mahalanobis distances, Pattern recognition, Plant cells, research, Research fields, Stability criteria |
| Abstract | The study of individual plant cells and their growth structure is an important focus of research in plant genetics. To obtain development information at cellular level, researchers need to perform in vivo imaging of the specimen under study, through time-lapse confocal microscopy. Within this research field it is important to understand mechanisms like cell division and elongation of developing cells. We describe a tool to automatically search for cell division in the Arabidopsis thaliana using information of nuclei shape. The nuclei detection is based on a convergence index filter. Cell division detection is performed by an automatic classifier, trained through cross-validation. The results are further improved by a stability criterion based on the Mahalanobis distance of the shape of the nuclei through time. With this approach, we can achieve a correct detection rate of 94.7%. © 2009 Springer Berlin Heidelberg. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-68749115481&partnerID=40&md5=2c491950d3b00a9dd873aeaefdf5edcb |
