Bright-Field Imaging and Optical Coherence Tomography of the Mouse Posterior Eye.
Document Type
Article
Publication Date
2016
JAX Location
Reprint Collection
JAX Source
Methods Mol Biol 2016; 1438:395-415
Volume
1438
First Page
395
Last Page
415
ISSN
1940-6029
PMID
27150100
Abstract
Noninvasive live imaging has been used extensively for ocular phenotyping in mouse vision research. Bright-field imaging and optical coherence tomography (OCT) are two methods that are particularly useful for assessing the posterior mouse eye (fundus), including the retina, retinal pigment epithelium, and choroid, and are widely applied due to the commercial availability of sophisticated instruments and software. Here, we provide a guide to using these approaches with an emphasis on post-acquisition image processing using Fiji, a bundled version of the Java-based public domain software ImageJ. A bright-field fundus imaging protocol is described for acquisition of multi-frame videos, followed by image registration to reduce motion artifacts, averaging to reduce noise, shading correction to compensate for uneven illumination, filtering to improve image detail, and rotation to adjust orientation. An OCT imaging protocol is described for acquiring replicate volume scans, with subsequent registration and averaging to yield three-dimensional datasets that show reduced motion artifacts and enhanced detail. The Fiji algorithms used in these protocols are designed for batch processing and are freely available. The image acquisition and processing approaches described here may facilitate quantitative phenotyping of the mouse eye in drug discovery, mutagenesis screening, and the functional cataloging of mouse genes by individual laboratories and large-scale projects, such as the Knockout Mouse Phenotyping Project and International Mouse Phenotyping Consortium. Methods Mol Biol 2016; 1438:395-415
Recommended Citation
Krebs M,
Xiao M,
Sheppard K,
Hicks WL,
Nishina PM.
Bright-Field Imaging and Optical Coherence Tomography of the Mouse Posterior Eye. Methods Mol Biol 2016; 1438:395-415