Faster structured illumination microscopy using complementary encoding-based compressive imaging
作者机构:State Key Laboratory of Precision SpectroscopySchool of Physics and Electronic ScienceEast China Normal UniversityShanghai 200241China School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengdu 611731China Joint Research Center of Light Manipulation Science and Photonic Integrated Chip of East China Normal University and Shandong Normal UniversityEast China Normal UniversityShanghai 200241China Collaborative Innovation Center of Extreme OpticsShanxi UniversityTaiyuan 030006China
出 版 物:《Photonics Research》 (光子学研究(英文版))
年 卷 期:2024年第12卷第4期
页 面:740-748页
核心收录:
学科分类:08[工学] 0703[理学-化学] 0803[工学-光学工程]
基 金:National Natural Science Foundation of China(12034008, 12074121, 12274129, 12274139, 12304338,12325408, 12734274, 62105101, 62175066, 92150301) Science and Technology Commission of Shanghai Municipality (20ZR1417100, 21JM0010700, 21XD1400900)
主 题:illumination complementary faster
摘 要:Structured illumination microscopy (SIM) has been widely applied to investigate intricate biological dynamics due to its outstanding super-resolution imaging speed. Incorporating compressive sensing into SIM brings the possibility to further improve the super-resolution imaging speed. Nevertheless, the recovery of the superresolution information from the compressed measurement remains challenging in experiments. Here, we report structured illumination microscopy with complementary encoding-based compressive imaging (CECI-SIM) to realize faster super-resolution imaging. Compared to the nine measurements to obtain a super-resolution image in a conventional SIM, CECI-SIM can achieve a super-resolution image by three measurements;therefore, a threefold improvement in the imaging speed can be achieved. This faster imaging ability in CECI-SIM is experimentally verified by observing tubulin and actin in mouse embryonic fibroblast cells. This work provides a feasible solution for high-speed super-resolution imaging, which would bring significant applications in biomedical research.