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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Detalles Bibliográficos
Publicado: 2007
Materias:
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
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1557170X_v_n_p1631_Melani
http://hdl.handle.net/20.500.12110/paper_1557170X_v_n_p1631_Melani
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_1557170X_v_n_p1631_Melani
record_format dspace
spelling paper:paper_1557170X_v_n_p1631_Melani2023-06-08T16:23:16Z Cells tracking in a live zebrafish embryo. 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 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1557170X_v_n_p1631_Melani http://hdl.handle.net/20.500.12110/paper_1557170X_v_n_p1631_Melani
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic 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 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
Cells tracking in a live zebrafish embryo.
topic_facet 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.
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.
publishDate 2007
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1557170X_v_n_p1631_Melani
http://hdl.handle.net/20.500.12110/paper_1557170X_v_n_p1631_Melani
_version_ 1768544657340366848

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