We designed a set of procedures for achieving the tracking of cell nuclei and the identification of cell divisions in live zebrafish embryos using 3D+time images acquired by confocal laser scanning microscopy (CLSM). Our strategy includes image signal enhancement with feature preserving denoising algorithm, automated identification of the nuclei position, extraction of the optical flow from 3D images sequences and tracking of nuclei.
Documento: | Artículo |
Título: | Cells tracking in a live zebrafish embryo. |
Autor: | Melani, C.; Campana, M.; Lombardot, B.; Rizzi, B.; Veronesi, F.; Zanella, C.; Bourgine, P.; Mikula, K.; Peyriéras, N.; Sarti, A. |
Filiación: | Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina and Dipartimento di Elettronica, Informatica e Sistemistica, Università di Bologna, Italy. |
Palabras clave: | algorithm; animal; animal embryo; article; artificial intelligence; automated pattern recognition; computer assisted diagnosis; confocal microscopy; cytology; evaluation study; fluorescence microscopy; histology; image enhancement; methodology; prenatal development; reproducibility; sensitivity and specificity; three dimensional imaging; zebra fish; Algorithms; Animals; Artificial Intelligence; Embryo, Nonmammalian; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Microscopy, Confocal; Microscopy, Fluorescence; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Zebrafish |
Año: | 2007 |
Página de inicio: | 1631 |
Página de fin: | 1634 |
Título revista: | Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference |
Título revista abreviado: | Conf Proc IEEE Eng Med Biol Soc |
ISSN: | 1557170X |
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1557170X_v_n_p1631_Melani |