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Automatic and adaptive heterogeneous refractive index compensation for light-sheet microscopy.

Authors :
Ryan, Duncan P.
Gould, Elizabeth A.
Seedorf, Gregory J.
Masihzadeh, Omid
Abman, Steven H.
Vijayaraghavan, Sukumar
Macklin, Wendy B.
Restrepo, Diego
Shepherd, Douglas P.
Source :
Nature Communications; 9/20/2017, Vol. 8 Issue 1, p1-10, 10p
Publication Year :
2017

Abstract

Optical tissue clearing has revolutionized researchers' ability to perform fluorescent measurements of molecules, cells, and structures within intact tissue. One common complication to all optically cleared tissue is a spatially heterogeneous refractive index, leading to light scattering and first-order defocus. We designed C-DSLM (cleared tissue digital scanned light-sheet microscopy) as a low-cost method intended to automatically generate in-focus images of cleared tissue. We demonstrate the flexibility and power of C-DSLM by quantifying fluorescent features in tissue from multiple animal models using refractive index matched and mismatched microscope objectives. This includes a unique measurement of myelin tracks within intact tissue using an endogenous fluorescent reporter where typical clearing approaches render such structures difficult to image. For all measurements, we provide independent verification using standard serial tissue sectioning and quantification methods. Paired with advancements in volumetric image processing, C-DSLM provides a robust methodology to quantify sub-micron features within large tissue sections. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
8
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
138024124
Full Text :
https://doi.org/10.1038/s41467-017-00514-7