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Faster structured illumination microscopy using complementary encoding-based compressive imaging
DOI:10.1364/PRJ.515895.png)
摘要
En 中文
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. (c) 2024 Chinese Laser Press
Keyword:
2 MU-M
CAVITY-ENHANCED PHOTODETECTORS
II QUANTUM-WELLS
PHOTODIODES
BANDWIDTH
期刊
IF:
7.2
论文数:
2.4K
被引数:
1.3W
机构
引用论文
Coded aperture compressive temporal imaging using complementary codes and untrained neural networks for high-quality reconstruction
OPTICS LETTERS
IF3.3
Nonlinear structured-illumination microscopy: Wide-field fluorescence imaging with theoretically unlimited resolution非线性结构照明显微镜: 理论上无限分辨率的宽场荧光成像
Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)通过随机光学重建显微镜 (STORM) 进行亚衍射极限成像
NATURE METHODS
IF32.1

