Open Access
1 July 2010 Three-dimensional optical method for integrated visualization of mouse islet microstructure and vascular network with subcellular-level resolution
Ya-Yuan Fu, Chih-Hsuan Lu, Chi-Wen Lin, Jyuhn-Huarng Juang, Grigori Enikolopov, Eric Sibley, Ann-Shyn Chiang, Shiue-Cheng Tang
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Abstract
Microscopic visualization of islets of Langerhans under normal and diabetic conditions is essential for understanding the pathophysiology of the disease. The intrinsic opacity of pancreata, however, limits optical accessibility for high-resolution light microscopy of islets in situ. Because the standard microtome-based, 2-D tissue analysis confines visualization of the islet architecture at a specific cut plane, 3-D representation of image data is preferable for islet assessment. We applied optical clearing to minimize the random light scattering in the mouse pancreatic tissue. The optical-cleared pancreas allowed penetrative, 3-D microscopic imaging of the islet microstructure and vasculature. Specifically, the islet vasculature was revealed by vessel painting-lipophilic dye labeling of blood vessels-for confocal microscopy. The voxel-based confocal micrographs were digitally processed with projection algorithms for 3-D visualization. Unlike the microtome-based tissue imaging, this optical method for penetrative imaging of mouse islets yielded clear, continuous optical sections for an integrated visualization of the islet microstructure and vasculature with subcellular-level resolution. We thus provide a useful imaging approach to change our conventional planar view of the islet structure into a 3-D panorama for better understanding of the islet physiology.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ya-Yuan Fu, Chih-Hsuan Lu, Chi-Wen Lin, Jyuhn-Huarng Juang, Grigori Enikolopov, Eric Sibley, Ann-Shyn Chiang, and Shiue-Cheng Tang "Three-dimensional optical method for integrated visualization of mouse islet microstructure and vascular network with subcellular-level resolution," Journal of Biomedical Optics 15(4), 046018 (1 July 2010). https://doi.org/10.1117/1.3470241
Published: 1 July 2010
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CITATIONS
Cited by 31 scholarly publications and 1 patent.
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KEYWORDS
Tissue optics

Confocal microscopy

Visualization

3D image processing

Pancreas

Video

Tissues

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