Least-squares fitting of Gaussian spots on graphics processing units
Distributed, Parallel, and Cluster Computing
2021-06-07 v1 Numerical Analysis
Numerical Analysis
Instrumentation and Detectors
Abstract
The investigation of samples with a spatial resolution in the nanometer range relies on the precise and stable positioning of the sample. Due to inherent mechanical instabilities of typical sample stages in optical microscopes, it is usually required to control and/or monitor the sample position during the acquisition. The tracking of sparsely distributed fiducial markers at high speed allows stabilizing the sample position at millisecond time scales. For this purpose, we present a scalable fitting algorithm with significantly improved performance for two-dimensional Gaussian fits as compared to Gpufit.
Cite
@article{arxiv.2106.02045,
title = {Least-squares fitting of Gaussian spots on graphics processing units},
author = {Marcel Leutenegger and Michael Weber},
journal= {arXiv preprint arXiv:2106.02045},
year = {2021}
}
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16 pages