High-speed super-resolution microscopy via temporal compression
New high-speed super-resolution imaging technique resolves a longstanding contradiction between spatial resolution and imaging speed
Date:
March 10, 2023
Source:
SPIE--International Society for Optics and Photonics
Summary:
Recently, a research team resolved the contradiction between
spatial resolution and imaging speed in optical microscopy. They
achieved high- speed super-resolution by developing an effective
technique termed temporal compressive super-resolution microscopy
(TCSRM). TCSRM merges enhanced temporal compressive microscopy with
deep-learning-based super- resolution image reconstruction. Enhanced
temporal compressive microscopy improves the imaging speed
by reconstructing multiple images from one compressed image,
and the deep-learning-based image reconstruction achieves the
super-resolution effect without reduction in imaging speed.
Their iterative image reconstruction algorithm contains
motion estimation, merging estimation, scene correction, and
super-resolution processing to extract the super-resolution image
sequence from compressed and reference measurements.
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FULL STORY ==========================================================================
As an indispensable tool for observing the microcosmos, optical
microscopy has boosted the development of various fields, including
biology, medicine, physics, and materials. However, optical diffraction
imposes a spatial resolution restriction on optical microscopy, which
hampers exploration of finer structures.
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To overcome the resolution limitation, various super-resolution microscopy techniques based on diverse principles have been proposed. Yet these
techniques commonly acquire super-resolution at the expense of reduced
imaging speed, so achieving high-speed super-resolution imaging that can
detect fast dynamics with fine structures has remained a great challenge.
Recently, a research team from East China Normal University, Shenzhen University, and Peking University resolved the contradiction between the spatial resolution and imaging speed. As reported in Advanced Photonics,
they achieved high-speed super-resolution by developing an effective
technique termed temporal compressive super-resolution microscopy
(TCSRM). TCSRM merges enhanced temporal compressive microscopy with deep-learning-based super- resolution image reconstruction. Enhanced
temporal compressive microscopy improves the imaging speed by
reconstructing multiple images from one compressed image, and the deep-learning-based image reconstruction achieves the super-resolution
effect without reduction in imaging speed. Their iterative image
reconstruction algorithm contains motion estimation, merging estimation,
scene correction, and super-resolution processing to extract the super- resolution image sequence from compressed and reference measurements.
Their studies verified the high-speed super-resolution imaging ability of
TCSRM in theory and experiment. To demonstrate the imaging capability of
TCSRM, they imaged flowing fluorescent beads in a microchannel, achieving
a remarkable frame rate of 1200 frames per second and spatial resolution
of 100 nm.
According to corresponding author Shian Zhang, Professor and Deputy
Director of the State Key Laboratory of Precision Spectroscopy at East
China Normal University, "This work provides a powerful tool for the observation of high- speed dynamics of fine structures, especially
in hydromechanics and biomedical fields, such as microflow velocity measurement, organelle interactions, intracellular transports and neural dynamics." Zhang adds, "The framework of TCSRM can also offer guidance
for achieving higher imaging speed and spatial resolution in holography, coherent diffraction imaging, and fringe projection profilometry."
* RELATED_TOPICS
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========================================================================== Story Source: Materials provided by SPIE--International_Society_for_Optics_and_Photonics.
Note: Content may be edited for style and length.
========================================================================== Journal Reference:
1. Yilin He, Yunhua Yao, Dalong Qi, Yu He, Zhengqi Huang, Pengpeng
Ding,
Chengzhi Jin, Chonglei Zhang, Lianzhong Deng, Kebin Shi,
Zhenrong Sun, Xiaocong Yuan, Shian Zhang. Temporal compressive
super-resolution microscopy at frame rate of 1200 frames per second
and spatial resolution of 100 nm. Advanced Photonics, 2023; 5 (02)
DOI: 10.1117/1.AP.5.2.026003 ==========================================================================
Link to news story:
https://www.sciencedaily.com/releases/2023/03/230310123927.htm
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