Document
type: Class

CCE 2011 - 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, Program and Abstract Book
publication venue for: Particle filter for spectral unmixing
type: Generically Dependent Continuant
type: Continuant
type: Proceedings
type: Thing
type: Information Content Entity
type: Document
type: Book
type: Entity

Particle filter for spectral unmixing
most specific type: Document
estado: published
related by: authorship_51051
type: Thing
type: Generically Dependent Continuant
most specific type: Conference Paper
date time value: conference paper date 7971
type: Document
type: Conference Paper
artnum: 6106604
has publication venue: CCE 2011 - 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, Program and Abstract Book
type: Entity
type: Information Content Entity
related by: authorship_51050
crisid: 7971
related by: authorship_51048
freetext keyword: Fluorescence Lifetime Imaging Microscopy (FLIM); in-vivo imaging; Lifetime Unmixing; Particle Filter; Time resolved fluorescence spectroscopy Fluorescence lifetime imaging microscopy; in-vivo imaging; Particle Filter; Time-resolved fluorescence spectroscopy; Unmixing; Automation; Control; Electrical engineering; Fluorescence; Fluorescence microscopy; Fluorescence spectroscopy; Nonlinear filtering; Process control; Tissue; Fluorophores
type: Article
type: Continuant
EI dscopus: 2-s2.0-84855777713
doi: 10.1109/ICEEE.2011.6106604
origen: scopus
abstract: The paper addresses the problem of identification of fluorescent molecules, or fluorophores, in biological samples obtained from time-resolved fluorescence microscopy. The contribution of this work is an algorithm, based on particle filter optimization, that solves the spectral unmixing problem for more than two fluorophores even when they present highly overlapping spectra at different wavelengths. The estimation of the proportional contributions of the elements in the sample is carried out by a Bayesianmethodology. Validation is done by using synthetic mixtures with two components and ex-vivo samples from human atherosclerotic tissue. © 2011 IEEE.
related by: authorship_51052

Continuant
type: Class

Entity
type: Class

Generically Dependent Continuant
type: Class

RDF description of Particle filter for spectral unmixing - http://orbis.uaslp.mx/vivo/individual/scopus7970
rights: termsOfUse
date: 2026-08-27T05:46:28
publisher: vivo
type: Document

Article
type: Class

Information Content Entity
type: Class

Conference Paper
type: Class