Title
BiDiFuse: a FIJI plugin for fusing bi-directionally recorded microscopic image volumes.
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 it is compatible with all optical sectioning microscopes and it does not rely on fiducial markers for image registration.
Year
DOI
Venue
2016
10.1093/bioinformatics/btw515
BIOINFORMATICS
Field
DocType
Volume
Data mining,Computer vision,Fiducial marker,All optical,Computer science,Rigid transformation,Microscope,Artificial intelligence,Plug-in,Fuse (electrical),Image registration
Journal
32
Issue
ISSN
Citations 
23
1367-4803
0
PageRank 
References 
Authors
0.34
0
8