Infrared and Laser Engineering, Volume. 50, Issue 11, 20210484(2021)
Research on super-resolution fluorescence microscopy imaging based on multiple measurement vector compressed sensing
Fig. 1. Images of fluorescent molecules by simulation generated. (a) A frame image; (b) Wide-field image by 500 frames accumulated
Fig. 2. Images of different pixel sizes by simulation generated. The pixel sizes are (a) 60 nm; (b) 120 nm; (c) 160 nm; (d) 200 nm, respectively
Fig. 3. Comparison of curves of reconstructed super-resolution images based on different pixel sizes. The pixel sizes are (a) 60 nm; (b) 120 nm;(c) 160 nm; (d) 200 nm, respectively
Fig. 4. Comparison of curves of reconstructed super-resolution images based on different photons number
Fig. 5. Comparison of curves of reconstructed super-resolution images based on different background photons number
Fig. 6. Comparison of run time curves of reconstructed by 500 small block images (Box size is the size of divided image)
Fig. 7. Comparison of reconstructions images of L1-H and MMV-CS algorithms based on high-density images. (a) Wide-images of directly accumulated microtubule images by 1500 frames; (b) A frame of 1500 frames; Reconstructions images using (c) L1-H algorithm and (d) MMV-CS algorithm
Fig. 8. Comparison of intensity curves along the white line in Fig. 7(c), (d)
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Saiwen Zhang, Yaqi Deng, Chong Wang, Xiaoling Leng, Guangfu Zhang, Bing Wen, Yangbao Deng, Weishi Tan, Ye Tian, Wenguo Li. Research on super-resolution fluorescence microscopy imaging based on multiple measurement vector compressed sensing[J]. Infrared and Laser Engineering, 2021, 50(11): 20210484
Category: Image processing
Received: Jul. 15, 2021
Accepted: --
Published Online: Dec. 7, 2021
The Author Email: Deng Yangbao (dyb5202008@aliyun.com)