Optical sectioning lattice structured illumination microscopy (OS-LSIM)
Abstract
Optical sectioning structured illumination microscopy (OS-SIM) is a high-speed, minimally invasive, three-dimensional imaging microscopic technique, playing an important role in life science. However, OS-SIM is unable to achieve optical sectioning and isotropic super-resolution simultaneously. To tackle this drawback, we propose and demonstrate herein optical sectioning lattice structured illumination microscopy (OS-LSIM). This method utilizes a digital micro-mirror device to generate two-dimensional lattice patterns and a lock-in based reconstruction algorithm to realize both optical sectioning and spatial resolution enhancement. OS-LSIM features an axial resolution (optical sectioning strength) of 688 ± 16 nm and a lateral resolution improvement factor of 1.79 compared to conventional wide-field microscopy. We anticipate that OS-LSIM will open new avenues for the study of cellular dynamics in life science.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (11)
Kequn Zhuo
School of Physics, Xidian University 1 , Xi'an 710071,
Zihan Xiong
School of Physics, Xidian University 1 , Xi'an 710071,
Kai Wen
Caixia Wu
School of Physics, Xidian University 1 , Xi'an 710071,
Wenjian Wang
Sha An
School of Physics, Xidian University 1 , Xi'an 710071,
Xiaofang Wang
Tanping Li
School of Physics, Xidian University 1 , Xi'an 710071,
Juanjuan Zheng
State Key Laboratory of Synergistic Chem-Bio Synthesis, Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, School of Biomedical Engineering, National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), National Center for Translational Medicine
Lixin Liu
School of Materials Science and Engineering, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, Guangdong Functional Biomaterials Engineering Technology Research Center
Peng Gao