Title
3-D Registration of Biological Images and Models: Registration of microscopic images and its uses in segmentation and annotation
Abstract
The registration, segmentation, and annotation of microscopy images and respective biological objects (e.g., cells) are distinct challenges often encountered in bioimage informatics. Here we present several studies in widely used model systems of the fruit fly, zebrafish, and C. elegans to demonstrate how registration methods have been employed to align three-dimensional (3-D) brain images at a very large scale and to solve challenging segmentation and annotation problems for 3-D cellular images. Specifically, we consider two types of registration between images and models: image-to-image registration and model-to-image registration, where a model consists of a description of the geometrical shape or the spatial layout of biological objects in the respective images.
Year
DOI
Venue
2015
10.1109/MSP.2014.2354060
IEEE Signal Process. Mag.
Keywords
DocType
Volume
3D cellular images,cellular biophysics,biological objects,zebrafish,spatial layout,microscopic image annotation,image segmentation,geometrical shape,bioimage informatics,3D biological image registration,3d cellular images,fruit fly,image-to-image registration,model-to-image registration,microscopic image registration,three-dimensional brain images,brain,c. elegans,image registration,C. elegans,3d biological image registration,bioinformatics,microscopic image segmentation,zoology
Journal
32
Issue
ISSN
Citations 
1
1053-5888
9
PageRank 
References 
Authors
0.59
20
3
Name
Order
Citations
PageRank
Lei Qu112312.00
Fuhui Long230419.27
Hanchuan Peng33930182.27