Achieving cellular resolution for in vivo retinal images of transgenic GFAP-GFP mice via image processing | Zendy

Saravana Kumar | Zendy; G. C. Ho | Zendy; Kaitlin M. Woo | Zendy; Zhuo Luan | Zendy

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Achieving cellular resolution for in vivo retinal images of transgenic GFAP-GFP mice via image processing

Author(s) -

Saravana Kumar,

G. C. Ho,

Kaitlin M. Woo,

Zhuo Luan

Publication year - 2008

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.16.008250

Subject(s) - glial fibrillary acidic protein , green fluorescent protein , retinal , image processing , transgene , in vivo , preclinical imaging , retina , pixel , computer science , microbiology and biotechnology , biology , artificial intelligence , optics , physics , image (mathematics) , immunohistochemistry , immunology , genetics , gene , biochemistry

In vivo retinal images of transgenic mice, expressing GFP under the control of the GFAP (glial fibrillary acidic protein) promoter, have very poor signal-to-noise ratio (SNR) and cellular resolution such that the analysis of GFAP-GFP expressing retinal cells from these images can be a very challenging task. We report an image averaging method based on a pixel rank matching criterion which significantly enhances both these image attributes. We also show that it compares favorably against direct image averaging and a commercial averaging routine available from the Heidelberg Retinal Angiograph 2 software.

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