Cells tracking in a live zebrafish embryo
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 al...
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_05891019_v_n_p1631_Melani |
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todo:paper_05891019_v_n_p1631_Melani2023-10-03T15:36:06Z Cells tracking in a live zebrafish embryo Melani, C. Campana, M. Lombardot, B. Rizzi, B. Veronesi, F. Zanella, C. Bourgine, P. Mikula, K. Peyriéras, N. Sarti, A. Algorithms Cells Confocal microscopy Nucleic acids Three dimensional Nuclei position Zebrafish Fish 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 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. ©2007 IEEE. Fil:Melani, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_05891019_v_n_p1631_Melani |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Algorithms Cells Confocal microscopy Nucleic acids Three dimensional Nuclei position Zebrafish Fish 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 |
spellingShingle |
Algorithms Cells Confocal microscopy Nucleic acids Three dimensional Nuclei position Zebrafish Fish 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 Melani, C. Campana, M. Lombardot, B. Rizzi, B. Veronesi, F. Zanella, C. Bourgine, P. Mikula, K. Peyriéras, N. Sarti, A. Cells tracking in a live zebrafish embryo |
topic_facet |
Algorithms Cells Confocal microscopy Nucleic acids Three dimensional Nuclei position Zebrafish Fish 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 |
description |
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. ©2007 IEEE. |
format |
CONF |
author |
Melani, C. Campana, M. Lombardot, B. Rizzi, B. Veronesi, F. Zanella, C. Bourgine, P. Mikula, K. Peyriéras, N. Sarti, A. |
author_facet |
Melani, C. Campana, M. Lombardot, B. Rizzi, B. Veronesi, F. Zanella, C. Bourgine, P. Mikula, K. Peyriéras, N. Sarti, A. |
author_sort |
Melani, C. |
title |
Cells tracking in a live zebrafish embryo |
title_short |
Cells tracking in a live zebrafish embryo |
title_full |
Cells tracking in a live zebrafish embryo |
title_fullStr |
Cells tracking in a live zebrafish embryo |
title_full_unstemmed |
Cells tracking in a live zebrafish embryo |
title_sort |
cells tracking in a live zebrafish embryo |
url |
http://hdl.handle.net/20.500.12110/paper_05891019_v_n_p1631_Melani |
work_keys_str_mv |
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