Publication
Title
Characterization of the mouse organ of Corti cytoarchitecture using a stick representation
Author
Abstract
The supporting cells and hair cells (HCs) in the organ of Corti (OoC) are highly organized. The precise 3D microstructure is hypothesized to play a critical role in cochlear function. Recently, we combined two techniques to obtain the organ of Corti cytoarchitecture. Two-photon imaging allowed us to perform in situ imaging without subjecting the tissue to other potential distortions, while genetically engineered mTmG mice have a fluorophore embedded in the cell membranes. In this contribution we discuss the parameterization step necessary to compare structures obtained with this technique at different locations and in different specimens. First, the z-axis is chosen perpendicular to the basilar membrane. Subsequently, base and apex of cells are indicated by landmarks. As such, the cells are approximated as a stick representation. This representation is used to calculate the 3D lengths and angles of all imaged cells. Since the OoC is not straight but spiral-shaped, the radial (y) and longitudinal (x) directions differ at each location. Therefore, circular arcs are fitted through the 3 rows of outer HCs to define the local radial (y) and longitudinal (x) direction. Novel in this approach is the 3D data of the cell position in the organ of Corti. Cell diameters and tissue areas cannot be quantified with this stick representation and need to be measured separately.
Language
English
Source (journal)
PHOTONIC THERAPEUTICS AND DIAGNOSTICS XI
Source (book)
Conference on Photonic Therapeutics and Diagnostics XI, FEB 07-08, 2015, San Francisco, CA
Publication
Bellingham : Spie-int soc optical engineering, 2015
ISBN
978-1-62841-393-9
Volume/pages
9303(2015), 7 p.
Article Reference
93031P
ISI
000354366400030
Medium
E-only publicatie
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 02.07.2015
Last edited 03.09.2017
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