Design and implementation of a Cooke triplet based wave-front coded super-resolution imaging system

2015 ◽  
Author(s):  
Hui Zhao ◽  
Jingxuan Wei
Author(s):  
Binming Liang ◽  
Xiao Huang ◽  
Jihong Zheng

Abstract Photonic crystal (PC) not only breaks through the diffraction limit of traditional lenses but also can realize super-resolution imaging. Improving the resolution is the key task of PC imaging. The main work of this paper is to use a graded-index Photonic crystal (GPC) flat lens to improve the image resolution. An air-hole type two-dimensional (2D) GPC structure based on silicon medium is proposed in this paper. Numerical simulations through RSoft reveal that when the medium in the imaging area is air, the full width at half maximum (FWHM) value of a single image reaches 0.362λ. According to the Rayleigh criterion, the images of two point sources 0.57λ apart can also be distinguished. In the imaging system composed of cedar oil and GPC flat lens, the FWHM value of a single image reaches 0.34λ. In addition, the images of multiple point sources 0.49λ apart can still be distinguished.


2018 ◽  
Author(s):  
Robin Van den Eynde ◽  
Alice Sandmeyer ◽  
Wim Vandenberg ◽  
Sam Duwé ◽  
Wolfgang Hübner ◽  
...  

AbstractSuper-Resolution (SR) fluorescence microscopy is typically carried out on high-end research microscopes. Super-resolution Optical Fluctuation Imaging (SOFI) is a fast SR technique capable of live-cell imaging, that is compatible with many wide-field microscope systems. However, especially when employing fluorescent proteins, a key part of the imaging system is a very sensitive and well calibrated camera sensor. The substantial costs of such systems preclude many research groups from employing super-resolution imaging techniques.Here, we examine to what extent SOFI can be performed using a range of imaging hardware comprising different technologies and costs. In particular, we quantitatively compare the performance of an industry-grade CMOS camera to both state-of-the-art emCCD and sCMOS detectors, with SOFI-specific metrics. We show that SOFI data can be obtained using a cost-efficient industry-grade sensor, both on commercial and home-built microscope systems, though our analysis also readily exposes the merits of the per-pixel corrections performed in scientific cameras.


2020 ◽  
Vol 69 (13) ◽  
pp. 134201
Author(s):  
Yang Song ◽  
Xi-Bin Yang ◽  
Bing Yan ◽  
Chi Wang ◽  
Jian-Mei Sun ◽  
...  

Nanophotonics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 1971-1980 ◽  
Author(s):  
Luwei Wang ◽  
Wei Yan ◽  
Runze Li ◽  
Xiaoyu Weng ◽  
Jia Zhang ◽  
...  

AbstractWith a purely optical modulation of fluorescent behaviors, stimulated emission depletion (STED) microscopy allows for far-field imaging with a diffraction-unlimited resolution in theory. The performance of STED microscopy is affected by many factors, of which aberrations induced by the optical system and biological samples can distort the wave front of the depletion beam at the focal plane to greatly deteriorate the spatial resolution and the image contrast. Therefore, aberration correction is imperative for STED imaging, especially for imaging thick specimens. Here, we present a wave front compensation approach based on the genetic algorithm (GA) to restore the distorted laser wave front for improving the quality of STED images. After performing aberration correction on two types of zebrafish samples, the signal intensity and the imaging resolution of STED images were both improved, where the thicknesses were 24 μm and 100 μm in the zebrafish retina sample and the zebrafish embryo sample, respectively. The results showed that the GA-based wave front compensation approach has the capability of correction for both system-induced and sample-induced aberrations. The elimination of aberrations can prompt STED imaging in deep tissues; therefore, STED microscopy can be expected to play an increasingly important role in super-resolution imaging related to the scientific research in biological fields.


2010 ◽  
Author(s):  
Sang Wook Park ◽  
Joonyoung Chang ◽  
Jongseong Choi ◽  
Moon Gi Kang

2016 ◽  
Vol 45 (4) ◽  
pp. 0422003 ◽  
Author(s):  
赵惠 Zhao Hui ◽  
魏静萱 Wei Jingxuan ◽  
庞志海 Pang Zhihai ◽  
刘美莹 Liu Meiying

Author(s):  
Sorin Stanescu ◽  
Valerio Galieni ◽  
Chih-Hua Ho ◽  
George Goh ◽  
Sebastien Vilain ◽  
...  

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