scholarly journals Super-resolution imaging system based on integrated microsphere objective lens

2020 ◽  
Vol 69 (13) ◽  
pp. 134201
Author(s):  
Yang Song ◽  
Xi-Bin Yang ◽  
Bing Yan ◽  
Chi Wang ◽  
Jian-Mei Sun ◽  
...  
Keyword(s):  
Imaging System ◽  
Super Resolution ◽  
Objective Lens ◽  
Resolution Imaging

scholarly journals Super-resolution imaging of negative-refractive graded-index photonic crystal flat lens

2021 ◽  
Author(s):  
Binming Liang ◽  
Xiao Huang ◽  
Jihong Zheng
Keyword(s):  
Photonic Crystal ◽  
Imaging System ◽  
Super Resolution ◽  
Point Sources ◽  
Image Resolution ◽  
Multiple Point ◽  
Single Image ◽  
Graded Index ◽  
Resolution Imaging ◽  
Flat Lens

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.

scholarly journals Quantitative comparison of camera technologies for cost-effective Super-resolution Optical Fluctuation Imaging (SOFI)

2018 ◽  
Author(s):  
Robin Van den Eynde ◽  
Alice Sandmeyer ◽  
Wim Vandenberg ◽  
Sam Duwé ◽  
Wolfgang Hübner ◽  
...  
Keyword(s):  
Live Cell Imaging ◽  
Imaging System ◽  
Fluorescent Proteins ◽  
Imaging Techniques ◽  
Super Resolution ◽  
Cost Effective ◽  
Wide Field ◽  
Cmos Camera ◽  
Resolution Imaging ◽  
Cost Efficient

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.

scholarly journals Super-Resolution Lensless Imaging of Cells Using Brownian Motion

2019 ◽  
Vol 9 (10) ◽  
pp. 2080
Author(s):  
Yuan Fang ◽  
Ningmei Yu ◽  
Yuquan Jiang
Keyword(s):  
Brownian Motion ◽  
Imaging System ◽  
Imaging Technique ◽  
Super Resolution ◽  
Image Sensor ◽  
Oxide Semiconductor ◽  
Objective Lens ◽  
Cell Detection ◽  
Lensless Imaging ◽  
Cell Image

The lensless imaging technique, which integrates a microscope into a complementary metal oxide semiconductor (CMOS) digital image sensor, has become increasingly important for the miniaturization of biological microscope and cell detection equipment. However, limited by the pixel size of the CMOS image sensor (CIS), the resolution of a cell image without optical amplification is low. This is also a key defect with the lensless imaging technique, which has been studied by a many scholars. In this manuscript, we propose a method to improve the resolution of the cell images using the Brownian motion of living cells in liquid. A two-step algorithm of motion estimation for image registration is proposed. Then, the raw holographic images are reconstructed using normalized convolution super-resolution algorithm. The result shows that the effect of the collected cell image under the lensless imaging system is close to the effect of a 10× objective lens.

Construction of super-resolution imaging system considering spatially varying sub-pixel registration

2010 ◽  
Author(s):  
Sang Wook Park ◽  
Joonyoung Chang ◽  
Jongseong Choi ◽  
Moon Gi Kang
Keyword(s):  
Imaging System ◽  
Super Resolution ◽  
Resolution Imaging ◽  
Spatially Varying

Optical Tweezers Microsphere-lens Super Resolution Imaging System

2017 ◽  
Author(s):  
Sorin Stanescu ◽  
Valerio Galieni ◽  
Chih-Hua Ho ◽  
George Goh ◽  
Sebastien Vilain ◽  
...  
Keyword(s):  
Optical Tweezers ◽  
Imaging System ◽  
Super Resolution ◽  
Resolution Imaging
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