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17 February 2020 Computational super-resolution microscopy: leveraging noise model, regularization and sparsity to achieve highest resolution
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Abstract
We report progress in algorithm development for a computation-based super-resolution microscopy technique. Building upon previous results, we examine our recently implemented microscope system and construct alter- native processing algorithms. Based on numerical simulations results, we evaluate the performance of each algorithm and determine the one most suitable for our super-resolution microscope.
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© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Xing, Simeng Chen, Stephen Becker, Jiun-Yann Yu, and Carol Cogswell "Computational super-resolution microscopy: leveraging noise model, regularization and sparsity to achieve highest resolution", Proc. SPIE 11245, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVII, 112450O (17 February 2020); https://doi.org/10.1117/12.2551542
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