General Information
| Description | A FIJI plugin for fusing bi-directionally recorded microscopic image volumes |
| Homepage | https://github.com/JanDetrez/BiDiFuse/ |
Publications
BiDiFuse: a FIJI plugin for fusing bi-directionally recorded microscopic image volumes
Summary:
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.
Availability and Implementation:
The method is freely available as a plugin for FIJI from https://github.com/JanDetrez/BiDiFuse/.
Contact:
winnok.devos@uantwerpen.be
Related Tools
Simple Neurite Tracer
Published July 2011
Open source software for reconstruction, visualization and analysis of neuronal processes
From phenotype to genotype
Published September 2012
An association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs
DiSWOP
Published November 2013
A novel measure for cell-level protein network analysis in localized proteomics image data
Trainable Weka Segmentation
Published March 2017
A machine learning tool for microscopy pixel classification
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
