Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy
Super-resolution structured illumination microscopy (SR-SIM) is finding increasing application in biomedical research due to its superior ability to visualize subcellular dynamics in living cells. However, during image reconstruction artifacts can be introduced and when coupled with time-consuming p...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-05-01
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| Series: | The Innovation |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266667582300053X |
| _version_ | 1797836879146516480 |
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| author | Zhaojun Wang Tianyu Zhao Yanan Cai Jingxiang Zhang Huiwen Hao Yansheng Liang Shaowei Wang Yujie Sun Tongsheng Chen Piero R. Bianco Kwangsung Oh Ming Lei |
| author_facet | Zhaojun Wang Tianyu Zhao Yanan Cai Jingxiang Zhang Huiwen Hao Yansheng Liang Shaowei Wang Yujie Sun Tongsheng Chen Piero R. Bianco Kwangsung Oh Ming Lei |
| author_sort | Zhaojun Wang |
| collection | DOAJ |
| description | Super-resolution structured illumination microscopy (SR-SIM) is finding increasing application in biomedical research due to its superior ability to visualize subcellular dynamics in living cells. However, during image reconstruction artifacts can be introduced and when coupled with time-consuming postprocessing procedures, limits this technique from becoming a routine imaging tool for biologists. To address these issues, an accelerated, artifact-reduced reconstruction algorithm termed joint space frequency reconstruction-based artifact reduction algorithm (JSFR-AR-SIM) was developed by integrating a high-speed reconstruction framework with a high-fidelity optimization approach designed to suppress the sidelobe artifact. Consequently, JSFR-AR-SIM produces high-quality, super-resolution images with minimal artifacts, and the reconstruction speed is increased. We anticipate this algorithm to facilitate SR-SIM becoming a routine tool in biomedical laboratories. |
| first_indexed | 2024-04-09T15:15:58Z |
| format | Article |
| id | doaj.art-4bc27f287ceb4a22a9f26f6814e0a0e8 |
| institution | Directory Open Access Journal |
| issn | 2666-6758 |
| language | English |
| last_indexed | 2024-04-09T15:15:58Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | The Innovation |
| spelling | doaj.art-4bc27f287ceb4a22a9f26f6814e0a0e82023-04-29T14:59:07ZengElsevierThe Innovation2666-67582023-05-0143100425Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopyZhaojun Wang0Tianyu Zhao1Yanan Cai2Jingxiang Zhang3Huiwen Hao4Yansheng Liang5Shaowei Wang6Yujie Sun7Tongsheng Chen8Piero R. Bianco9Kwangsung Oh10Ming Lei11MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, ChinaMOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, ChinaCollege of Science, Northwest A&F University, Yangling 712100, ChinaMOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Membrane Biology & Biomedical Pioneer Innovation Center (BIOPIC) & School of Life Sciences, Peking University, Beijing 100871, ChinaMOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, ChinaMOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory of Membrane Biology & Biomedical Pioneer Innovation Center (BIOPIC) & School of Life Sciences, Peking University, Beijing 100871, ChinaMOE Key Laboratory of Laser Life Science & Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, ChinaDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Nebraska Medical Center, Omaha, NE 68198-6025, USADepartment of Computer Science, College of Information Science & Technology, University of Nebraska Omaha, Omaha, NE 68182, USAMOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China; Corresponding authorSuper-resolution structured illumination microscopy (SR-SIM) is finding increasing application in biomedical research due to its superior ability to visualize subcellular dynamics in living cells. However, during image reconstruction artifacts can be introduced and when coupled with time-consuming postprocessing procedures, limits this technique from becoming a routine imaging tool for biologists. To address these issues, an accelerated, artifact-reduced reconstruction algorithm termed joint space frequency reconstruction-based artifact reduction algorithm (JSFR-AR-SIM) was developed by integrating a high-speed reconstruction framework with a high-fidelity optimization approach designed to suppress the sidelobe artifact. Consequently, JSFR-AR-SIM produces high-quality, super-resolution images with minimal artifacts, and the reconstruction speed is increased. We anticipate this algorithm to facilitate SR-SIM becoming a routine tool in biomedical laboratories.http://www.sciencedirect.com/science/article/pii/S266667582300053X |
| spellingShingle | Zhaojun Wang Tianyu Zhao Yanan Cai Jingxiang Zhang Huiwen Hao Yansheng Liang Shaowei Wang Yujie Sun Tongsheng Chen Piero R. Bianco Kwangsung Oh Ming Lei Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy The Innovation |
| title | Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy |
| title_full | Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy |
| title_fullStr | Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy |
| title_full_unstemmed | Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy |
| title_short | Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy |
| title_sort | rapid artifact reduced image reconstruction for super resolution structured illumination microscopy |
| url | http://www.sciencedirect.com/science/article/pii/S266667582300053X |
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