Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

GPU-Based Quantitative Second-Harmonic Generation Imaging

Not Accessible

Your library or personal account may give you access

Abstract

We adapt a graphics processing unit (GPU) to quantitative second-harmonic generation imaging. In comparison to our previously reported CPU-based approach, our GPU-based image analysis results in ~10x improvement in computational time.

© 2014 Optical Society of America

PDF Article
More Like This
Development of quantitative metrics for second-harmonic generation imaging of collagen-based structures

Raghu Ambekar Ramachandra Rao and Kimani C. Toussaint
FTuF6 Frontiers in Optics (FiO) 2010

Real-time Fourier Transform-Second-Harmonic Generation Imaging of Collagen-based Biological Tissues

Tung-Yuen Lau, Mohammad M. Kabir, Veera V. G. K. Inavalli, and Kimani C. Toussaint
QW3G.3 Quantitative Medical Imaging (QMI) 2013

Quantitative second-harmonic generation imaging analysis based on fluid-dynamics measures

Adriana C. Salazar Coariti, Maurice Fabien, Johnny Guzman, and Kimani C. Toussaint
FW5E.1 Frontiers in Optics (FiO) 2020

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2023 | Optica Publishing Group. All Rights Reserved