Chinese Journal of Lasers, Volume. 50, Issue 21, 2107106(2023)
Self-Adaptive Mixed-Emitter Single-Molecule Localization Algorithm
Fig. 1. Reconstructed images of two 200 nm stripes apart generated by different algorithms, density of the strip is 1
Fig. 2. Flowchart of SM algorithm, where the process of binary SNR generation, emitter identification and self-adaptation fitting algorithm are represented by yellow, blue and orange arrows, respectively
Fig. 3. Simulation data and algorithm comparison on simulation data. (a) Simulated images with different densities; (b) comparison of metrics of different algorithms; (c) localization error of different algorithms; (d) simulated reference image (ground truth,GT); (e) sectional intensity profiles and local magnification of reconstructed super-resolution images by different algorithms
Fig. 4. Algorithm comparison on experiment data. (a) rFRC maps of super-resolution images obtained from different algorithms; (b)‒(c) local magnification of super resolution images; (d) sectional intensity profile corresponding to white lines in Fig. 4(b)
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Yizhe Liu, Weisong Zhao, Yuzhen Liu, Haoyu Li. Self-Adaptive Mixed-Emitter Single-Molecule Localization Algorithm[J]. Chinese Journal of Lasers, 2023, 50(21): 2107106
Category: Biomedical Optical Imaging
Received: Mar. 27, 2023
Accepted: May. 24, 2023
Published Online: Nov. 7, 2023
The Author Email: Haoyu Li (lihaoyu@hit.edu.cn)