A linear algorithm for quantitative measure of corneal collagen fiber orientation using second harmonic generation microscopy

James McLean; Charles DiMarzio

doi:10.1117/12.2235289

15 March 2016 A linear algorithm for quantitative measure of corneal collagen fiber orientation using second harmonic generation microscopy

James McLean, Charles DiMarzio

Author Affiliations +

Proceedings Volume 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII; 971317 (2016) https://doi.org/10.1117/12.2235289
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

There is significant interest in the scientific community to develop a reliable and precise quantification of the direction of collagen fibers within the cornea in order to learn more about how collagen contributes to the cornea's shape and structure. Previous work has shown that quantification of these fibers' orientations is possible using Second Harmonic Generation (SHG) microscopy, a modality that utilizes the non-centrosymmetric properties of collagen to obtain details of their macromolecular structure. Many attempts at using SHG to this purpose result in whole volume approximations which do not take into account variations through the depth of the cornea. Additionally, other algorithms have used non-linear processes which limit computation time and result in sensitivity to sample area, resolution, and illumination. We propose a linear method for quantification of collagen fiber orientation which utilizes the precise sectioning properties of SHG and is independent of non-linear artifacts to aid in further classification of cornea structure.

Conference Presentation

Citation Download Citation

James McLean and Charles DiMarzio "A linear algorithm for quantitative measure of corneal collagen fiber orientation using second harmonic generation microscopy", Proc. SPIE 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII, 971317 (15 March 2016); https://doi.org/10.1117/12.2235289

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available