Publication
Title
BiDiFuse : a FIJI plugin for fusing bi-directionally recorded microscopic image volumes
Author
Abstract
Deep tissue imaging is increasingly used for non-destructive interrogation of intact organs and small model organisms. An intuitive approach to increase the imaging depth by almost a factor of 2 is to record a sample from two sides and fuse both image stacks. However, imperfect three-dimensional alignment of both stacks presents a computational challenge. We have developed a FIJI plugin, called BiDiFuse, which merges bi-directionally recorded image stacks via 3D rigid transformations. The method is broadly applicable, considering its compatibility with all optical sectioning microscopes and does not rely on fiducial markers for image registration.
Language
English
Source (journal)
Bioinformatics. - Oxford
Publication
Oxford : 2016
ISSN
1367-4803
Volume/pages
32:23(2016), p. 3691-3693
ISI
000392749500026
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
[E?say:metaLocaldata.cgzprojectinf]
Clarity in the clouded brain, establishing spatiotemporal fingerprints of neurodegeneration using whole brain imaging.
Short circuits in the neuronal network. A role for b type Lamins?
Research in the field of the advanced biomedical microscopic imaging: "Towards medical cytomics. Paving the way with nextgeneration microscopy".
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 19.08.2016
Last edited 08.11.2017
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