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Search · four archives
24 papers · ranked by Valyu relevance
Mikhail Makarkin, Daniil Bratashov, Aiqun Liu
In modern digital microscopy, deconvolution methods are widely used to eliminate a number of image defects and increase resolution. In this review, we have divided these methods into classical, deep learning-based, and optimization-based methods. The review describes the major architectures of neural networks, such as…
Toby Sanders
Stein's unbiased risk estimator (SURE) has been shown to be an effective metric for determining optimal parameters for many applications. The topic of this article is focused on the use of SURE for determining parameters for blind deconvolution. The parameters include those that define the shape of the point spread…
Luís M. A. Perdigão, Casper Berger, Neville B.-Y. Yee, Michele C. Darrow + 1 more
The experimental limitations with optics observed in many microscopy and astronomy instruments result in detrimental effects for the imaging of objects. This can be generally described mathematically as a convolution of the real object image with the point spread function that characterizes the optical system. The…
Haohong Gan, Shiyi Peng, Hailian Hu, Xuan You + 4 more
The resolving power of optical microscopy is fundamentally constrained by the diffraction of light, limiting our ability to visualize subcellular structures. Computational methods, particularly deconvolution, can restore blurred images but critically depend on an accurate point spread function (PSF), whose estimation…
Zachary H. Hendrix, Peter Brown, Tim Flanagan, Douglas P. Shepherd + 2 more
Motivated Bayesian Deconvolution Authors: ['Zachary H. Hendrix' 'Peter Brown' 'Tim Flanagan' 'Douglas P. Shepherd' 'Ayush Saurabh' 'Steve Pressé'] Richardson-Lucy deconvolution is widely used to restore images from degradation caused by the broadening effects of a point spread function and corruption by photon shot…
R. Parvaz
Image production tools do not always create a clear image, noisy and blurry images are sometimes created. Among these cases, Poissonian noise is one of the most famous noises that appear in medical images and images taken in astronomy. Blurred image with Poissonian noise obscures important details that are of great…
Amit Kohli, Anastasios N. Angelopoulos, David McAllister, Esther Whang + 6 more
'Esther Whang' 'Sixian You' 'Kyrollos Yanny' 'Federico M. Gasparoli' 'Bo-Jui Chang' 'Reto Fiolka' 'Laura Waller'] The most ubiquitous form of aberration correction for microscopy is deconvolution; however, deconvolution relies on the assumption that the system’s point spread function is the same across the entire field…
Stefan J. Hofmeister
A point-spread function describes the optics of an imaging system and can be used to correct collected images for instrumental effects. The state of the art for deconvolving images with the point-spread function is the Richardson-Lucy algorithm; however, despite its high fidelity, it is slow and cannot account for…
Wenfeng Tian, Riwang Chen, Liangyi Chen
Super-Resolution: An Odyssey in Harnessing Priors to Enhance Optical Microscopy Resolution Authors: Wenfeng Tian, Riwang Chen, Liangyi Chen A simple iterative algorithm for the extrapolation problem, based on the finite spatial extent prior, is the Gerchberg-Papoulis (GP) algorithm, proposed in the 1970s.47,48 We defer…
Jianan Chen, Lydia Y. Liu, Wenchao Han, Dan Wang + 3 more
Advances have been made in the use of deep learning to extract quantitative and predictive information from digital pathology slides, yet many barriers remain before clinical translation and deployment. In particular, models need to be generalizable despite the wide variations in image characteristics due to…
Yiwei Hou, Wenyi Wang, Yunzhe Fu, Xichuan Ge + 2 more
Despite the grand advances in fluorescence microscopy, the photon budget of fluorescent molecules remains the fundamental limiting factor for major imaging parameters, such as temporal resolution, duration, contrast, and even spatial resolution. Computational methods can strategically utilize the fluorescence photons…
Hertzog L. Bester, Jonathan S. Kenyon, Audrey Repetti, Simon Perkins + 7 more
suite Authors: ['Hertzog L. Bester' 'Jonathan S. Kenyon' 'Audrey Repetti' 'Simon Perkins' 'O. Smirnov' 'Tariq Blecher' 'Yassine Mhiri' 'Jakob Roth' 'Ian Heywood' 'Yves Wiaux' 'B. Hugo'] The popularity of the CLEAN algorithm in radio interferometric imaging stems from its maturity, speed, and robustness. While many…
Jonathan M. Taylor
Light field microscopy can capture 3D volume datasets in a snapshot, making it a valuable tool for high-speed 3D imaging of dynamic biological events. However, subsequent computational reconstruction of the raw data into a human-interpretable 3D+time image is very time-consuming, limiting the technique’s utility as a…
Shulei Ni, Yisheng Qiu, Yunchun Chen, Zihao Song + 3 more
Astronomical Image Deconvolution Authors: ['Shulei Ni' 'Yisheng Qiu' 'Yunchun Chen' 'Zihao Song' 'Hao Chen' 'Xuejian Jiang' 'Huaxi Chen'] In the imaging process of an astronomical telescope, the deconvolution of its beam or Point Spread Function (PSF) is a crucial task. However, deconvolution presents a classical and…
Joseph Rosen, Simon Alford, Blake Allan, Vijayakumar Anand + 79 more
'Shlomi Arnon' 'Francis Gracy Arockiaraj' 'Jonathan Art' 'Bijie Bai' 'Ganesh M. Balasubramaniam' 'Tobias Birnbaum' 'Nandan S. Bisht' 'David Blinder' 'Liangcai Cao' 'Qian Chen' 'Ziyang Chen' 'Vishesh Dubey' 'Karen Egiazarian' 'Mert Ercan' 'Andrew Forbes' 'G. Gopakumar' 'Yunhui Gao' 'Sylvain Gigan' 'Paweł Gocłowski'…
Linh Hoang, Zhongqiang Li, Dominique Meyer, Xiankun Lu + 1 more
Studying biological processes across multi-millimeter scales requires imaging systems that combine high spatial resolution with a large field of view (FOV). However, optical aberrations degrade image quality, particularly in large-FOV systems where distortions gradually worsen toward the periphery. Existing methods for…
Tomáš Chobola, Gesine Müller, Veit Dausmann, Anton Theileis + 3 more
'Jan Taucher' 'Jan Huisken' 'Tingying Peng'] Non-blind deconvolution aims to restore a sharp image from its blurred counterpart given an obtained kernel. Existing deep neural architectures are often built based on large datasets of sharp ground truth images and trained with supervision. Sharp, high quality ground truth…
Adeleke Maradesa, Baptiste Py, Ting Hei Wan, Mohammed B. Effat + 1 more
Electrochemical impedance spectroscopy (EIS) is a characterization technique used widely in electrochemistry. Obtaining EIS data is simple when modern electrochemical workstations are used; however, analyzing EIS spectra is still a considerable quandary. The distribution of relaxation times (DRT) has emerged as a…
Stanley H. Chan
At the pinnacle of computational imaging is the cooptimization of camera and algorithm. This, however, is not the only form of computational imaging. In problems such as imaging through adverse weather, the bigger challenge is how to accurately simulate the forward degradation process so that we can synthesize data to…
Ruijie Cao, Yaning Li, Wenyi Wang, Guoxun Zhang + 13 more
A fundamental challenge in fluorescence microscopy is the defocused background caused by scattering light, optical aberration, or limited axial resolution. Severe defocus backgrounds will submerge the in-focus information and cause artifacts in the following processing. Here, we leverage a priori knowledge about dark…
Hongyang Dong, Simon D.M. Jacques, Keith T. Butler, Olof Gutowski + 4 more
In this study, we introduce a method designed to eliminate parallax artefacts present in Xray powder diffraction computed tomography data acquired from large samples. These parallax artefacts manifest as artificial peak shifting, broadening and splitting, leading to inaccurate physicochemical information, such as…
Kelsey Hatzell, Yanjie Zheng
X-ray Computed Tomography (CT) is a non-invasive, non-destructive approach to imaging materials, material systems and engineered components in two- and three- dimensions. Acquisition of 3D images requires the collection of hundreds or thousands of through-thickness X-ray radiographic images from different angles. Such…
Hongyang Dong, Simon D.M. Jacques, Winfried Kockelmann, Stephen W. T. Price + 10 more
Hongyang Dong 3 , Simon D.M. Jacques 1 , Winfried Kockelmann 4 , Stephen W. T. Price 1 , Robert Emberson 5 , Dorota Matras 6,7 , Yaroslav Odarchenko 1 , Vesna Middelkoop 10 , Athanasios Giokaris 1 , Olof Gutowski 8 , Ann-Christin Dippel 8 , Martin v. Zimmermann 8 , Andrew M. Beale 3 , Keith T. Butler 9 , Antonis…
Authors not listed
An automatic code generated C++/HIP/CUDA implementation of the (auxiliary) Fock, or Kohn–Sham, matrix construction for execution in GPU-accelerated hardware environments is presented. The module is developed as part the quantum chemistry software package VeloxChem, employing localized Gaussian atomic orbitals. The per-…