Qingshuang Lu, Luhong Jin, Yingke Xu. Progress on Applications of Deep Learning in Super-Resolution Microscopy Imaging[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2400007
- Laser & Optoelectronics Progress
- Vol. 58, Issue 24, 2400007 (2021)
![Principle of traditional super-resolution reconstruction methods. (a) STED[9]; (b) SOFI[39]; (c) STORM[24]; (d) PALM[26]](/richHtml/lop/2021/58/24/2400007/img_1.jpg)
Fig. 1. Principle of traditional super-resolution reconstruction methods. (a) STED[9]; (b) SOFI[39]; (c) STORM[24]; (d) PALM[26]
Fig. 2. GAN structure for image reconstruction
![Application of deep learning in SIM image reconstruction under low-light condition[54]](/Images/icon/loading.gif){kind=icon}
Fig. 3. Application of deep learning in SIM image reconstruction under low-light condition[54]
Fig. 4. Principle and reconstruction results of ANNA-PALM[64]
Fig. 5. Principle and reconstruction results of DFCA network[66]
Fig. 6. Principle of Deep-Z[61]
Fig. 7. Principle of ISL[77]
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