Wavelet-based image fusion in multi-view three-dimensional microscopy

Rubio Guivernau, José Luis and Gurchenkov, Vasily and Luengo Oroz, Miguel Ángel and Duloquin, Louise and Bourgine, Paul and Santos Lleo, Andres de and Peyrieras, Nadine and Ledesma Carbayo, María Jesús (2012). Wavelet-based image fusion in multi-view three-dimensional microscopy. "Bioinformatics", v. 28 (n. 2); pp. 238-245. ISSN 1367-4803. https://doi.org/10.1093/bioinformatics/btr609.

Description

Title: Wavelet-based image fusion in multi-view three-dimensional microscopy
Author/s:
  • Rubio Guivernau, José Luis
  • Gurchenkov, Vasily
  • Luengo Oroz, Miguel Ángel
  • Duloquin, Louise
  • Bourgine, Paul
  • Santos Lleo, Andres de
  • Peyrieras, Nadine
  • Ledesma Carbayo, María Jesús
Item Type: Article
Título de Revista/Publicación: Bioinformatics
Date: January 2012
ISSN: 1367-4803
Volume: 28
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview

Abstract

Multi-view microscopy techniques such as Light-Sheet Fluorescence Microscopy (LSFM) are powerful tools for 3D + time studies of live embryos in developmental biology. The sample is imaged from several points of view, acquiring a set of 3D views that are then combined or fused in order to overcome their individual limitations. Views fusion is still an open problem despite recent contributions in the field. We developed a wavelet-based multi-view fusion method that, due to wavelet decomposition properties, is able to combine the complementary directional information from all available views into a single volume. Our method is demonstrated on LSFM acquisitions from live sea urchin and zebrafish embryos. The fusion results show improved overall contrast and details when compared with any of the acquired volumes. The proposed method does not need knowledge of the system's point spread function (PSF) and performs better than other existing PSF independent fusion methods.

More information

Item ID: 15973
DC Identifier: http://oa.upm.es/15973/
OAI Identifier: oai:oa.upm.es:15973
DOI: 10.1093/bioinformatics/btr609
Official URL: http://bioinformatics.oxfordjournals.org/content/28/2/238.full
Deposited by: Memoria Investigacion
Deposited on: 30 Jun 2013 10:25
Last Modified: 21 Apr 2016 16:17
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM