- By:
- Mcclure, James; Yin, Junqi ; Armstrong, Ryan; Maheshwari, Ketan C; Wilkinson, Sean R; Vlcek, Lucas; Wang, Ying; Berrill, Mark A; Rivers, Mark
- Page Number:
- 226-239
- Volume:
- 1315
- Book Title:
- Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI
- Publication Date:
- November 9, 2023
- Publisher Location:
- Springer, Cham, Switzerland
- Conference Name:
- Smoky Mountains Computational Sciences and Engineering Conference (SMC2020)
- Conference Location:
- Kingsport, Tennessee, United States of America
- Conference Sponsor:
- DOE
- View DOI Listing:
- https://doi.org/10.1007/978-3-030-63393-6_15
Abstract
ynchrotron light sources are routinely used to perform imaging experiments. In this paper, we review the relevant computational stages, identify bottlenecks, and highlight future opportunities to streamline data acquisition for experimental microscopy workflows. We demonstrate our preliminary exploration with an end-to-end scientific workflow on Summit based on micro-computed tomography data. Computational elements include: 1) reconstruction of volumetric image data; 2) denoising with deep neural networks; and 3) non-local means based segmentation and quantitative analysis.
