Title | Evaluation of symmetry enhanced sliding band filter for plant cell nuclei detection in low contrast noisy fluorescent images |
Publication Type | Book |
Year of Publication | 2009 |
Authors | Marcuzzo, M, 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 | 5627 LNCS |
Number of Pages | 824 - 831 |
City | Halifax, NS |
ISBN Number | 03029743 (ISSN); 3642026109 (ISBN); 9783642026102 (ISBN) |
Keywords | Arabidopsis thaliana, Background noise, Band filters, Bioinformatics, Biology imaging, Cell detection, Cell membranes, cell nucleus, Cellular levels, confocal microscopy, Convergence filters, cytology, Filter response, Fluorescence, Fluorescence proteins, Fluorescent images, Image analysis, Laser scanning confocal microscopy, Low contrast, Plant cell culture, Plant cells, Positron emission tomography, Root tip, Yellow fluorescence proteins |
Abstract | The study of cell nuclei is fundamental for plant cell Biology research. To obtain information at cellular level, researchers image cells' nuclei which were modified with fluorescence proteins, through laser scanning confocal microscopy. These images are normally noisy and suffer from high background fluorescence, making grey-scale segmentation approaches inadequate for a usable detection. To obtain a successful detection even at low contrast we investigate the use of a particular convergence filter, the Symmetric Sliding Band filter (SSBF), for cell detection. This filter is based on gradient convergence and not intensity. As such it can detect low contrast cell nuclei which otherwise would be lost in the background noise. Due to the characteristics of cell nuclei morphology, a symmetry constrain is integrated in the filter which corrects some inadequate detections and results in a filter response that is more discriminative. We evaluate the use of this filter for cell nuclei detection on the Arabidopsis thaliana root tip, where the nuclei were stained using yellow fluorescence protein. The resulting cell nuclei detection precision is 89%. © 2009 Springer Berlin Heidelberg. |