Automatic segmentation of cell nuclei from confocal laser scanning microscopy images

Autor:	Gábor Székely, A. Kelemen, Guido Gerig, H.-W. Reist
Rok vydání:	1996
Předmět:	Point spread function Materials science business.industry Confocal Scanning confocal electron microscopy Initialization Radiation symbols.namesake Optics Fourier transform symbols Segmentation Invariant (mathematics) business
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540616498 VBC
DOI:	10.1007/bfb0046954
Popis:	In this paper we present a method for the fully automatic segmentation of cell nuclei from 3D confocal laser microscopy images. The method is based on the combination of previously proposed techniques which have been refined for the requirements of this task. A 3D extension of a wave propagation technique applied to gradient magnitude images allows us a precise initialization of elastically deformable Fourier models and therefore a fully automatic image analysis. The shape parameters are transformed into invariant descriptors and provide the basis of a statistical analysis of cell nucleus shapes. This analysis will be carried out in order to determine average intersection lengths between cell nuclei and single particle tracks of ionizing radiation. This allows a quantification of absorbed energy on living cells leading to a better understanding of the biological significance of exposure to radiation in low doses.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0442d5b4ca1cf9e81a7ecb4f8082232d https://doi.org/10.1007/bfb0046954 Zobrazit plný text záznamu