scholarly journals Lost photon enhances superresolution

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
A. B. Mikhalychev ◽  
P. I. Novik ◽  
I. L. Karuseichyk ◽  
D. A. Lyakhov ◽  
D. L. Michels ◽  
...  
Keyword(s):  
Resolution Enhancement ◽  
Entangled State ◽  
Quantum Imaging ◽  
Coherent Imaging ◽  
Point Spread ◽  
Spread Function ◽  
Diffraction Of Light ◽  
Resolution Limits ◽  
Image Blurring ◽  
Practical Scheme

AbstractQuantum imaging can beat classical resolution limits, imposed by the diffraction of light. In particular, it is known that one can reduce the image blurring and increase the achievable resolution by illuminating an object by entangled light and measuring coincidences of photons. If an n-photon entangled state is used and the nth-order correlation function is measured, the point-spread function (PSF) effectively becomes $$\sqrt{n}$$ n times narrower relatively to classical coherent imaging. Quite surprisingly, measuring n-photon correlations is not the best choice if an n-photon entangled state is available. We show that for measuring (n − 1)-photon coincidences (thus, ignoring one of the available photons), PSF can be made even narrower. This observation paves a way for a strong conditional resolution enhancement by registering one of the photons outside the imaging area. We analyze the conditions necessary for the resolution increase and propose a practical scheme, suitable for observation and exploitation of the effect.

scholarly journals Equivalent of the point spread function for partially coherent imaging

Optica ◽  
2015 ◽  
Vol 2 (8) ◽  
pp. 736 ◽  
Author(s):  
Shalin B. Mehta ◽  
Colin J. R. Sheppard
Keyword(s):  
Point Spread Function ◽  
Coherent Imaging ◽  
Partially Coherent ◽  
Point Spread ◽  
Spread Function

scholarly journals Nanodiamonds enable adaptive-optics enhanced, super-resolution, two-photon excitation microscopy

2019 ◽  
Author(s):  
Graeme E. Johnstone ◽  
Gemma S. Cairns ◽  
Brian R. Patton
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Size Range ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Two Photon ◽  
Point Spread ◽  
Photon Excitation ◽  
Spread Function ◽  
Photo Stability

Particles of diamond in the 5 to 100 nm size range, known as nanodiamond, have shown promise as robust fluorophores for optical imaging. We demonstrate here that, due to their photo-stability, they are not only suitable for two-photon imaging, but they allow significant resolution enhancement when combined with computational super-resolution techniques. We observe a resolution of 42.5 nm when processing two-photon images with the Super-Resolution Radial Fluctuations algorithm. We show manipulation of the point-spread function of the microscope using adaptive optics. This demonstrates how the photostability of nanodiamond can also be of use when characterising adaptive optics technologies or testing the resilience of super-resolution or aberration correction algorithms.

scholarly journals Comparison of the Remapping Algorithms for the Advanced Technology Microwave Sounder (ATMS)

2020 ◽  
Vol 12 (4) ◽  
pp. 672 ◽  
Author(s):  
Jun Zhou ◽  
Hu Yang
Keyword(s):  
Microwave Radiometer ◽  
Resolution Enhancement ◽  
Advanced Technology ◽  
Positive Bias ◽  
Point Spread ◽  
Atmospheric Remote Sensing ◽  
Spread Function ◽  
Geometric Deformation ◽  
Signal Changes ◽  
Operational Data

One of the limitations in using spaceborne, microwave radiometer data for atmospheric remote sensing is the nonuniform spatial resolution. Remapping algorithms can be applied to the data to ameliorate this limitation. In this paper, two remapping algorithms, the Backus–Gilbert inversion (BGI) technique and the filter algorithm (AFA), widely used in the operational data preprocessing of the Advanced Technology Microwave Sounder (ATMS), are investigated. The algorithms are compared using simulations and actual ATMS data. Results show that both algorithms can effectively enhance or degrade the resolution of the data. The BGI has a higher remapping accuracy than the AFA. It outperforms the AFA by producing less bias around coastlines and hurricane centers where the signal changes sharply. It shows no obvious bias around the scan ends where the AFA has a noticeable positive bias in the resolution-enhanced image. However, the BGI achieves the resolution enhancement at the expense of increasing the noise by 0.5 K. The use of the antenna pattern instead of the point spread function in the algorithm causes the persistent bias found in the AFA-remapped image, leading not only to an inaccurate antenna temperature expression but also to the neglect of the geometric deformation of the along-scan field-of-views.

scholarly journals Nanodiamonds enable adaptive-optics enhanced, super-resolution, two-photon excitation microscopy

2019 ◽  
Vol 6 (7) ◽  
pp. 190589 ◽  
Author(s):  
Graeme E. Johnstone ◽  
Gemma S. Cairns ◽  
Brian R. Patton
Keyword(s):  
Optical Imaging ◽  
Adaptive Optics ◽  
Point Spread Function ◽  
Size Range ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Two Photon ◽  
Point Spread ◽  
Photon Excitation ◽  
Spread Function

Particles of diamond in the 5–100 nm size range, known as nanodiamond (ND), have shown promise as robust fluorophores for optical imaging. We demonstrate here that, due to their photostability, they are not only suitable for two-photon imaging, but also allow significant resolution enhancement when combined with computational super-resolution techniques. We observe a resolution of 42.5 nm when processing two-photon images with the Super-Resolution Radial Fluctuations algorithm. We show manipulation of the point-spread function of the microscope using adaptive optics. This demonstrates how the photostability of ND can also be of use when characterizing adaptive optics technologies or testing the resilience of super-resolution or aberration correction algorithms.

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