Efficient Parallel Levenberg-Marquardt Model Fitting towards Real-Time Automated Parametric Imaging Microscopy |
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| Authors: | Xiang Zhu Dianwen Zhang |
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| Affiliation: | 1. College of Information and Electrical Engineering, China Agricultural University, Beijing, China.; 2. College of Economics & Management, China Agricultural University, Beijing, China.; 3. Imaging Technology group, Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.; University of Adelaide, Australia, |
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| Abstract: | We present a fast, accurate and robust parallel Levenberg-Marquardt minimization optimizer, GPU-LMFit, which is implemented on graphics processing unit for high performance scalable parallel model fitting processing. GPU-LMFit can provide a dramatic speed-up in massive model fitting analyses to enable real-time automated pixel-wise parametric imaging microscopy. We demonstrate the performance of GPU-LMFit for the applications in superresolution localization microscopy and fluorescence lifetime imaging microscopy. |
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