Spherical Aberration of Point Spread Function with Asymmetric Pupil Mask

Point spread function underneath spherical wave aberration with antiphase apodization has been obtained by one-dimensional pupil mask functions. In the presence of spherical aberration, suppression of optical side-lobes has increased on one side of the point spread function with the width of the periphery strips within the pupil mask. On introducing wave aberration effect, there exists dependence of the lateral resolution of central peak of the asymmetric point spread function on the amount of amplitude masking. However, the magnitude of intensity of central peak is originated be to amplified by the highest degree of amplitude and phase masking. Additionally, for aberrated asymmetric PSF, FWHM increases and it further decreases with the control parameters of amplitude and phase mask. The magnitude of this corollary can quantify the super resolution of diffracted structures under spherical aberration.

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Metasurface integrated with double-helix point spread function and metalens for three-dimensional imaging

Nanophotonics ◽

10.1515/nanoph-2018-0216 ◽

2019 ◽

Vol 8 (3) ◽

pp. 451-458 ◽

Cited By ~ 1

Author(s):

Chunqi Jin ◽

Jihua Zhang ◽

Chunlei Guo

Keyword(s):

Particle Tracking ◽

Point Spread Function ◽

Double Helix ◽

Three Dimensional ◽

Super Resolution ◽

Single Particle Tracking ◽

Point Sources ◽

Phase Mask ◽

Point Spread ◽

Spread Function

AbstractMetasurfaces are two-dimensional arrangements of antennas that control the propagation of electromagnetic waves with a subwavelength thickness and resolution. Previously, metasurfaces have been mostly used to obtain the function of a single optical element. Here, we demonstrate a plasmonic metasurface that represents the combination of a phase mask generating a double-helix point spread function (DH-PSF) and a metalens for imaging. DH-PSF has been widely studied in three-dimensional (3D) super-resolution imaging, biomedical imaging, and particle tracking, but the current DH-PSFs are inefficient, bulky, and difficult to integrate. The multielement metasurface, which we label as DH-metalens, enables a DH-PSF with transfer efficiency up to 70.3% and an ultrahigh level of optical system integration, three orders of magnitude smaller than those realized by conventional phase elements. Moreover, the demonstrated DH-metalens can work in broadband visible wavelengths and in multiple incident polarization states. Finally, we demonstrate the application of the DH-metalens in 3D imaging of point sources. These results pave ways for realizing integrated DH-PSFs, which have applications in 3D super-resolution microscopy, single particle tracking/imaging, and machine vision.

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High-fidelity structured illumination microscopy by point-spread-function engineering

Light Science & Applications ◽

10.1038/s41377-021-00513-w ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

Gang Wen ◽

Simin Li ◽

Linbo Wang ◽

Xiaohu Chen ◽

Zhenglong Sun ◽

...

Keyword(s):

Point Spread Function ◽

Super Resolution ◽

Reconstruction Algorithm ◽

High Fidelity ◽

Structured Illumination ◽

Structured Illumination Microscopy ◽

Imaging Tool ◽

Point Spread ◽

Spread Function ◽

Point Spread Function Engineering

AbstractStructured illumination microscopy (SIM) has become a widely used tool for insight into biomedical challenges due to its rapid, long-term, and super-resolution (SR) imaging. However, artifacts that often appear in SIM images have long brought into question its fidelity, and might cause misinterpretation of biological structures. We present HiFi-SIM, a high-fidelity SIM reconstruction algorithm, by engineering the effective point spread function (PSF) into an ideal form. HiFi-SIM can effectively reduce commonly seen artifacts without loss of fine structures and improve the axial sectioning for samples with strong background. In particular, HiFi-SIM is not sensitive to the commonly used PSF and reconstruction parameters; hence, it lowers the requirements for dedicated PSF calibration and complicated parameter adjustment, thus promoting SIM as a daily imaging tool.

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Joint image registration and point spread function estimation for the super-resolution of satellite images

Signal Processing Image Communication ◽

10.1016/j.image.2017.08.006 ◽

2017 ◽

Vol 58 ◽

pp. 199-211 ◽

Cited By ~ 2

Author(s):

Zhen Lv ◽

Yonghong Jia ◽

Qian Zhang

Keyword(s):

Image Registration ◽

Point Spread Function ◽

Satellite Images ◽

Super Resolution ◽

Function Estimation ◽

Point Spread ◽

Spread Function

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Point spread function of apodised optical systems under the combined influence of defocusing and primary spherical aberration

10.1364/fio.2003.wpp2 ◽

2003 ◽

Author(s):

D. Karuna Sagar ◽

M. Keshavulu Goud

Keyword(s):

Point Spread Function ◽

Spherical Aberration ◽

Optical Systems ◽

Point Spread ◽

Spread Function

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Isotropic 3D Super-resolution Imaging with a Self-bending Point Spread Function

CLEO: 2013 Postdeadline ◽

10.1364/cleo_si.2013.cth5d.10 ◽

2013 ◽

Author(s):

Shu Jia ◽

Joshua C. Vaughan ◽

Xiaowei Zhuang

Keyword(s):

Point Spread Function ◽

Super Resolution ◽

Point Spread ◽

Spread Function ◽

Resolution Imaging

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Three-Dimensional Super-Resolution in Eukaryotic Cells Using the Double-Helix Point Spread Function

Biophysical Journal ◽

10.1016/j.bpj.2017.02.023 ◽

2017 ◽

Vol 112 (7) ◽

pp. 1444-1454 ◽

Cited By ~ 23

Author(s):

Alexander R. Carr ◽

Aleks Ponjavic ◽

Srinjan Basu ◽

James McColl ◽

Ana Mafalda Santos ◽

...

Keyword(s):

Point Spread Function ◽

Double Helix ◽

Three Dimensional ◽

Super Resolution ◽

Eukaryotic Cells ◽

Point Spread ◽

Spread Function

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Randomly Multiplexed Diffractive Lens and Axicon for Spatial and Spectral Imaging

Micromachines ◽

10.3390/mi11040437 ◽

2020 ◽

Vol 11 (4) ◽

pp. 437 ◽

Cited By ~ 6

Author(s):

Vijayakumar Anand ◽

Tomas Katkus ◽

Saulius Juodkazis

Keyword(s):

Intensity Distribution ◽

Point Spread Function ◽

Fresnel Zone ◽

Spherical Wave ◽

Optical Element ◽

Intensity Pattern ◽

Object Space ◽

Point Spread ◽

Spread Function ◽

Complicated Object

A new hybrid diffractive optical element (HDOE) was designed by randomly multiplexing an axicon and a Fresnel zone lens. The HDOE generates two mutually coherent waves, namely a conical wave and a spherical wave, for every on-axis point object in the object space. The resulting self-interference intensity distribution is recorded as the point spread function. A library of point spread functions are recorded in terms of the different locations and wavelengths of the on-axis point objects in the object space. A complicated object illuminated by a spatially incoherent multi-wavelength source generated an intensity pattern that was the sum of the shifted and scaled point spread intensity distributions corresponding to every spatially incoherent point and wavelength in the complicated object. The four-dimensional image of the object was reconstructed using computer processing of the object intensity distribution and the point spread function library.

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Euclid: Nonparametric point spread function field recovery through interpolation on a graph Laplacian

Astronomy and Astrophysics ◽

10.1051/0004-6361/201936094 ◽

2020 ◽

Vol 636 ◽

pp. A78 ◽

Cited By ~ 1

Author(s):

M. A. Schmitz ◽

J.-L. Starck ◽

F. Ngole Mboula ◽

N. Auricchio ◽

J. Brinchmann ◽

...

Keyword(s):

Point Spread Function ◽

Super Resolution ◽

Statistical Error ◽

Graph Laplacian ◽

Weak Lensing ◽

Shape Measurement ◽

Model Errors ◽

Point Spread ◽

Spread Function ◽

The Impact

Context. Future weak lensing surveys, such as the Euclid mission, will attempt to measure the shapes of billions of galaxies in order to derive cosmological information. These surveys will attain very low levels of statistical error, and systematic errors must be extremely well controlled. In particular, the point spread function (PSF) must be estimated using stars in the field, and recovered with high accuracy. Aims. The aims of this paper are twofold. Firstly, we took steps toward a nonparametric method to address the issue of recovering the PSF field, namely that of finding the correct PSF at the position of any galaxy in the field, applicable to Euclid. Our approach relies solely on the data, as opposed to parametric methods that make use of our knowledge of the instrument. Secondly, we studied the impact of imperfect PSF models on the shape measurement of galaxies themselves, and whether common assumptions about this impact hold true in an Euclid scenario. Methods. We extended the recently proposed resolved components analysis approach, which performs super-resolution on a field of under-sampled observations of a spatially varying, image-valued function. We added a spatial interpolation component to the method, making it a true 2-dimensional PSF model. We compared our approach to PSFEx, then quantified the impact of PSF recovery errors on galaxy shape measurements through image simulations. Results. Our approach yields an improvement over PSFEx in terms of the PSF model and on observed galaxy shape errors, though it is at present far from reaching the required Euclid accuracy. We also find that the usual formalism used for the propagation of PSF model errors to weak lensing quantities no longer holds in the case of an Euclid-like PSF. In particular, different shape measurement approaches can react differently to the same PSF modeling errors.

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