Segmentation of cells from 3-D confocal images of live zebrafish embryo

In this paper, we use partial-differential-equationbased segmentation to accurately extract the shapes of membranes and nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. This strategy is a prerequisite for an accurate quantitative analysis of cell sha...

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Detalles Bibliográficos
Autores principales:	Zanella, C., Rizzi, B., Melani, C., Campana, M., Bourgine, P., Mikula, K., Peyriéras, N., Sarti, A.
Formato:	CONF
Materias:	Cell membranes Image reconstruction Partial differential equations Three dimensional 3D confocal images Live zebrafish embryo Time lapse confocal microscopy images Zebrafish embryogenesis Image segmentation
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_05891019_v_n_p6027_Zanella
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_05891019_v_n_p6027_Zanella
record_format	dspace
spelling	todo:paper_05891019_v_n_p6027_Zanella2023-10-03T15:36:07Z Segmentation of cells from 3-D confocal images of live zebrafish embryo Zanella, C. Rizzi, B. Melani, C. Campana, M. Bourgine, P. Mikula, K. Peyriéras, N. Sarti, A. Cell membranes Image reconstruction Partial differential equations Three dimensional 3D confocal images Live zebrafish embryo Time lapse confocal microscopy images Zebrafish embryogenesis Image segmentation In this paper, we use partial-differential-equationbased segmentation to accurately extract the shapes of membranes and nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. This strategy is a prerequisite for an accurate quantitative analysis of cell shape and morphodynamics during organogenesis and is the basis for an integrated understanding of biological processes. This data will also serve for the measurement of the variability between individuals in a population. The segmentation of cellular structures is achieved by first using an edge-preserving image filtering method for noise reduction and then applying an algorithm for cell shape reconstruction based on the Subjective Surfaces technique. © 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_p6027_Zanella
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Cell membranes Image reconstruction Partial differential equations Three dimensional 3D confocal images Live zebrafish embryo Time lapse confocal microscopy images Zebrafish embryogenesis Image segmentation
spellingShingle	Cell membranes Image reconstruction Partial differential equations Three dimensional 3D confocal images Live zebrafish embryo Time lapse confocal microscopy images Zebrafish embryogenesis Image segmentation Zanella, C. Rizzi, B. Melani, C. Campana, M. Bourgine, P. Mikula, K. Peyriéras, N. Sarti, A. Segmentation of cells from 3-D confocal images of live zebrafish embryo
topic_facet	Cell membranes Image reconstruction Partial differential equations Three dimensional 3D confocal images Live zebrafish embryo Time lapse confocal microscopy images Zebrafish embryogenesis Image segmentation
description	In this paper, we use partial-differential-equationbased segmentation to accurately extract the shapes of membranes and nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. This strategy is a prerequisite for an accurate quantitative analysis of cell shape and morphodynamics during organogenesis and is the basis for an integrated understanding of biological processes. This data will also serve for the measurement of the variability between individuals in a population. The segmentation of cellular structures is achieved by first using an edge-preserving image filtering method for noise reduction and then applying an algorithm for cell shape reconstruction based on the Subjective Surfaces technique. © 2007 IEEE.
format	CONF
author	Zanella, C. Rizzi, B. Melani, C. Campana, M. Bourgine, P. Mikula, K. Peyriéras, N. Sarti, A.
author_facet	Zanella, C. Rizzi, B. Melani, C. Campana, M. Bourgine, P. Mikula, K. Peyriéras, N. Sarti, A.
author_sort	Zanella, C.
title	Segmentation of cells from 3-D confocal images of live zebrafish embryo
title_short	Segmentation of cells from 3-D confocal images of live zebrafish embryo
title_full	Segmentation of cells from 3-D confocal images of live zebrafish embryo
title_fullStr	Segmentation of cells from 3-D confocal images of live zebrafish embryo
title_full_unstemmed	Segmentation of cells from 3-D confocal images of live zebrafish embryo
title_sort	segmentation of cells from 3-d confocal images of live zebrafish embryo
url	http://hdl.handle.net/20.500.12110/paper_05891019_v_n_p6027_Zanella
work_keys_str_mv	AT zanellac segmentationofcellsfrom3dconfocalimagesoflivezebrafishembryo AT rizzib segmentationofcellsfrom3dconfocalimagesoflivezebrafishembryo AT melanic segmentationofcellsfrom3dconfocalimagesoflivezebrafishembryo AT campanam segmentationofcellsfrom3dconfocalimagesoflivezebrafishembryo AT bourginep segmentationofcellsfrom3dconfocalimagesoflivezebrafishembryo AT mikulak segmentationofcellsfrom3dconfocalimagesoflivezebrafishembryo AT peyrierasn segmentationofcellsfrom3dconfocalimagesoflivezebrafishembryo AT sartia segmentationofcellsfrom3dconfocalimagesoflivezebrafishembryo
_version_	1782027815231684608

Segmentation of cells from 3-D confocal images of live zebrafish embryo

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