NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Hybrid CPU-GPU Approach to Fourier-Based Image Stitching of Optical Microscopy Images
Published
Author(s)
Walid Keyrouz, Timothy J. Blattner, Bertrand C. Stivalet, Joe Chalfoun, Mary C. Brady, Shujia Zhou
Abstract
We present a hybrid CPU-GPU approach for the Fourier-based stitching of optical microscopy images. This system achieves sub-minute stitching rates with large grids; it stitches a grid of 59x42 tiles in 26 seconds on a two-CPU (8 physical cores) & two-GPU machine. This is a speedup factor of more than 24x; the optimized sequential implementation takes more than 10 minutes to perform the same task. The system scales to take advantage of additional CPU cores or GPU cards. For the sake of comparison, ImageJ/Fiji, which uses a similar algorithm, exceeds 3.6 hours on the same workload.
Keyrouz, W.
, Blattner, T.
, Stivalet, B.
, Chalfoun, J.
, Brady, M.
and Zhou, S.
(2013),
A Hybrid CPU-GPU Approach to Fourier-Based Image Stitching of Optical Microscopy Images, GPU Technology Conference 2013, San Jose, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913305
(Accessed October 7, 2025)