Expanding super-resolution imaging versatility in organisms with multi-confocal image scanning microscopy

被引:5
作者
Ren, Wei [1 ,2 ]
Guan, Meiling [1 ,2 ,3 ]
Liang, Qianxi [1 ,2 ]
Li, Meiqi [4 ]
Jin, Boya [1 ,2 ]
Duan, Guangxing [4 ]
Zhang, Liya [4 ]
Ge, Xichuan [5 ]
Xu, Hong [6 ]
Hou, Yiwei [1 ,2 ]
Gao, Baoxiang [5 ]
Sodmergen, Peng [4 ]
Xi, Peng [1 ,2 ]
机构
[1] Peking Univ, Coll Future Technol, Dept Biomed Engn, Beijing 100871, Peoples R China
[2] Peking Univ, Natl Biomed Imaging Ctr, Beijing 100871, Peoples R China
[3] Chinese Acad Sci, Key Lab Computat Opt Imaging Technol, Beijing 100094, Peoples R China
[4] Peking Univ, Sch Life Sci, Beijing 100871, Peoples R China
[5] Hebei Univ, Coll Chem & Mat Sci, Key Lab Analyt Sci & Technol Hebei Prov, Baoding 071002, Peoples R China
[6] Airy Technol Co Ltd, Beijing 100086, Peoples R China
关键词
super-resolution imaging; confocal; image scanning microscopy; RESOLUTION LIMIT; DECONVOLUTION; LIVE;
D O I
10.1093/nsr/nwae303
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Resolving complex three-dimensional (3D) subcellular dynamics noninvasively in live tissues demands imaging tools that balance spatiotemporal resolution, field-of-view and phototoxicity. Image scanning microscopy (ISM), as an advancement of confocal laser scanning microscopy, provides a 2-fold 3D resolution enhancement. Nevertheless, the relatively low imaging speed has been the major obstacle for ISM to be further employed in in vivo imaging of biological tissues. Our proposed solution, multi-confocal image scanning microscopy (MC-ISM), aims to overcome the limitations of existing techniques in terms of spatiotemporal resolution balancing by optimizing pinhole diameter and pitch, eliminating out-of-focus signals, and introducing a frame reduction reconstruction algorithm. The imaging speed is increased by 16 times compared with multifocal structured illumination microscopy. We further propose a single-galvo scan, akin to the Archimedes spiral in spinning disk confocal systems, to ensure a high-speed and high-accuracy scan without the galvanometer's inertial motion. Benefitting from its high photon efficiency, MC-ISM allows continuous imaging of mitochondria dynamics in live cells for 1000 frames without apparent phototoxicity, reaching an imaging depth of 175 mu m. Noteworthy, MC-ISM enables the observation of the inner membrane structure of living mitochondria in Arabidopsis hypocotyl for the first time, demonstrating its outstanding performance.
引用
收藏
页数:13
相关论文
共 50 条
[41]   Fourier Ptychographic Coherent Anti-Stokes Raman Scattering Microscopy with Point-Scanning for Super-Resolution Imaging [J].
Gong, Li ;
Dou, Yanxin ;
Lin, Shulang ;
Osipowicz, Thomas ;
Huang, Zhiwei .
SMALL METHODS, 2024,
[42]   Parallel detecting super-resolution microscopy using correlation based image restoration [J].
Yu, Zhongzhi ;
Liu, Shaocong ;
Zhu, Dazhao ;
Kuang, Cuifang ;
Liu, Xu .
OPTICS COMMUNICATIONS, 2017, 404 :139-146
[43]   This Microtubule Does Not Exist: Super-Resolution Microscopy Image Generation by a Diffusion Model [J].
Saguy, Alon ;
Nahimov, Tav ;
Lehrman, Maia ;
Gomez-de-Mariscal, Estibaliz ;
Hidalgo-Cenalmor, Ivan ;
Alalouf, Onit ;
Balakrishnan, Ashwin ;
Heilemann, Mike ;
Henriques, Ricardo ;
Shechtman, Yoav .
SMALL METHODS, 2025, 9 (03)
[44]   A Sparse Denoising-Based Super-Resolution Method for Scanning Radar Imaging [J].
Zhang, Qiping ;
Zhang, Yin ;
Zhang, Yongchao ;
Huang, Yulin ;
Yang, Jianyu .
REMOTE SENSING, 2021, 13 (14)
[45]   Fast Sparse Bayesian Learning Method for Scanning Radar Super-Resolution Imaging [J].
Yu, Ze .
IEEE ACCESS, 2024, 12 :166393-166401
[46]   Emission difference super-resolution microscopy with optical lattices scanning and wide field detection [J].
Zhu, Dazhao ;
Chen, Youhua ;
Kuang, Cuifang ;
Liu, Xu .
OPTICS COMMUNICATIONS, 2017, 395 :29-33
[47]   ADAPTIVE SPARSE ITERATIVE REWEIGTHED SUPER-RESOLUTION METHOD FOR SCANNING RADAR IMAGING [J].
Zhang, Yongwei ;
Luo, Jiawei ;
Zhang, Yongchao ;
Ren, Lihua ;
Zhang, Yin ;
Huang, Yulin ;
Yang, Jianyu .
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, :7121-7124
[48]   Single image super-resolution under multi-frame method [J].
Zhu, Shujin ;
Li, Yuehua .
SIGNAL IMAGE AND VIDEO PROCESSING, 2019, 13 (02) :331-339
[49]   Single image super-resolution under multi-frame method [J].
Shujin Zhu ;
Yuehua Li .
Signal, Image and Video Processing, 2019, 13 :331-339
[50]   Origin and compensation of imaging artefacts in localization-based super-resolution microscopy [J].
Erdelyi, M. ;
Sinko, J. ;
Kakonyi, R. ;
Kelemen, A. ;
Rees, E. ;
Varga, D. ;
Szabo, G. .
METHODS, 2015, 88 :122-132