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University of Minnesota

GPU-based digital hologram reconstruction and particle detection

Abstract

dc:description.abstract

Digital holograms, when combined with tracer particles, can be used for examining otherwise-invisible fluid flows. These holograms can be captured with standard digital imaging equipment, however processing them to extract tracer or particle locations is computationally expensive. Exacerbating the issue is that hundreds or thousands of holograms must be reconstructed to analyze a single flow.Presented here is a hologram reconstruction and particle extraction system exploiting the massive parallelism of graphics processing units (GPUs) to reduce the time required to locate the particles in 3D space by orders of magnitude. This system requires no expensive proprietary hardware and runs on standard computers, with the only special requirement being an off-the-shelf Nvidia GPU.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Taylor, Daniel

Subjects

dc:subject × 6

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11299/170838
OAI identifier oai:identifier
oai:conservancy.umn.edu:11299/170838

Chain of custody

source
Harvested from
University of Minnesota
Base URL
conservancy.umn.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Taylor, Daniel. GPU-based digital hologram reconstruction and particle detection. 2014. http://hdl.handle.net/11299/170838