Acta Optica Sinica, Volume. 39, Issue 2, 0218001(2019)
Axial Super-Resolution Fluorescence Microscopy Imaging Technology Based on r-ADMM Algorithm
Fig. 1. Experimental setup and principle. (a) Schematic of experimental setup; (b) different penetration depths for different incident angles
Fig. 3. Simulation results of cellular microtubule structures based on MA-TIRFM. (a) Simulated microtubule structures and reconstructed results; (b) accuracy corresponding to different depths at different incident angle numbers
Fig. 4. MA-TIRFM imaging of fixed microtubules. (a) Wide-field image of microtubules; (b) three-dimensional map reconstructed by traditional ADMM algorithm; (c) three-dimension map reconstructed by r-ADMM algorithm; (d) 40 nm axial resolution achieved by traditional ADMM algorithm [corresponding to red dot pointed by white arrow in (b)]; (e) 40 nm axial resolution achieved by r-ADMM algorithm [corresponding to red dot pointed by white arrow in (c)]; (f) images of microtubules at different depths reconst
Fig. 5. Comparison chart of residual error curves. (a) Residual error versus iterations for ADMM and r-ADMM algorithms; (b) residual error versus iterations for r-ADMM algorithm with different r values
Fig. 6. Dynamic process of active mitochondria. (a) Wide-field image and reconstructed map; (b) fission (red triangle) andfusion (blue triangle) events in dotted box in Fig. 6 (a) captured by MA-TIRFM image stacks for 2 s time interval
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Jinyu Li, Youhua Chen, Wei Han, Yu Shang, Zhiguo Gui. Axial Super-Resolution Fluorescence Microscopy Imaging Technology Based on r-ADMM Algorithm[J]. Acta Optica Sinica, 2019, 39(2): 0218001
Category: Microscopy
Received: Aug. 7, 2018
Accepted: Sep. 17, 2018
Published Online: May. 10, 2019
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