Multi-aperture super-resolution and wide-field imaging method using compressive coding

2017 ◽  
Vol 46 (8) ◽  
pp. 824001
Author(s):  
袁 影 Yuan Ying ◽  
王晓蕊 Wang Xiaorui ◽  
吴雄雄 Wu Xiongxiong ◽  
穆江浩 Mu Jianghao ◽  
张 艳 Zhang Yan
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Martin Schmidt ◽  
Adam C. Hundahl ◽  
Henrik Flyvbjerg ◽  
Rodolphe Marie ◽  
Kim I. Mortensen

AbstractUntil very recently, super-resolution localization and tracking of fluorescent particles used camera-based wide-field imaging with uniform illumination. Then it was demonstrated that structured illuminations encode additional localization information in images. The first demonstration of this uses scanning and hence suffers from limited throughput. This limitation was mitigated by fusing camera-based localization with wide-field structured illumination. Current implementations, however, use effectively only half the localization information that they encode in images. Here we demonstrate how all of this information may be exploited by careful calibration of the structured illumination. Our approach achieves maximal resolution for given structured illumination, has a simple data analysis, and applies to any structured illumination in principle. We demonstrate this with an only slightly modified wide-field microscope. Our protocol should boost the emerging field of high-precision localization with structured illumination.


2015 ◽  
Vol 23 (13) ◽  
pp. 16803 ◽  
Author(s):  
Feifei Wang ◽  
Hok Sum Sam Lai ◽  
Lianqing Liu ◽  
Pan Li ◽  
Haibo Yu ◽  
...  

2015 ◽  
Author(s):  
Xiaopeng Shao ◽  
Jie Xu ◽  
Jiaoyang Wang ◽  
Xiaodong Chen ◽  
Rui Gong ◽  
...  

2019 ◽  
Vol 491 (1) ◽  
pp. 254-263
Author(s):  
James Kent ◽  
Adam P Beardsley ◽  
Landman Bester ◽  
Steve F Gull ◽  
Bojan Nikolic ◽  
...  

ABSTRACT The recent demonstration of a real-time direct imaging radio interferometry correlator represents a new capability in radio astronomy. However, wide-field imaging with this method is challenging since wide-field effects and array non-coplanarity degrade image quality if not compensated for. Here, we present an alternative direct imaging correlation strategy using a direct Fourier transform (DFT), modelled as a linear operator facilitating a matrix multiplication between the DFT matrix and a vector of the electric fields from each antenna. This offers perfect correction for wide field and non-coplanarity effects. When implemented with data from the Long Wavelength Array (LWA), it offers comparable computational performance to previously demonstrated direct imaging techniques, despite having a theoretically higher floating point cost. It also has additional benefits, such as imaging sparse arrays and control over which sky coordinates are imaged, allowing variable pixel placement across an image. It is in practice a highly flexible and efficient method of direct radio imaging when implemented on suitable arrays. A functioning electric field direct imaging architecture using the DFT is presented, alongside an exploration of techniques for wide-field imaging similar to those in visibility-based imaging, and an explanation of why they do not fit well to imaging directly with the digitized electric field data. The DFT imaging method is demonstrated on real data from the LWA telescope, alongside a detailed performance analysis, as well as an exploration of its applicability to other arrays.


Author(s):  
Haoyang Ye ◽  
Stephen F Gull ◽  
Sze M Tan ◽  
Bojan Nikolic

Abstract With the development of modern radio interferometers, wide-field continuum surveys have been planned and undertaken, for which accurate wide-field imaging methods are essential. Based on the widely-used W-stacking method, we propose a new wide-field imaging algorithm that can synthesize visibility data from a model of the sky brightness via degridding, able to construct dirty maps from measured visibility data via gridding. Results carry the smallest approximation error yet achieved relative to the exact calculation involving the direct Fourier transform. In contrast to the original W-stacking method, the new algorithm performs least-misfit optimal gridding (and degridding) in all three directions, and is capable of achieving much higher accuracy than is feasible with the original algorithm. In particular, accuracy at the level of single precision arithmetic is readily achieved by choosing a least-misfit convolution function of width W = 7 and an image cropping parameter of x0 = 0.25. If the accuracy required is only that attained by the original W-stacking method, the computational cost for both the gridding and FFT steps can be substantially reduced using the proposed method by making an appropriate choice of the width and image cropping parameters.


2021 ◽  
Vol 2 (2) ◽  
pp. 100542
Author(s):  
Taiga Takahashi ◽  
Hong Zhang ◽  
Kohei Otomo ◽  
Yosuke Okamura ◽  
Tomomi Nemoto

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