26 papers · ranked by Valyu relevance
Sami Koho, Giorgio Tortarolo, Marco Castello, Takahiro Deguchi + 2 more
'Alberto Diaspro' 'Giuseppe Vicidomini'] Fourier ring correlation (FRC) has recently gained popularity among fluorescence microscopists as a straightforward and objective method to measure the effective image resolution. While the knowledge of the numeric resolution value is helpful in e.g., interpreting imaging…
Klaus Becker, Saiedeh Saghafi, Marko Pende, Inna Sabdyusheva-Litschauer + 4 more
'Inna Sabdyusheva-Litschauer' 'Christian M. Hahn' 'Massih Foroughipour' 'Nina Jährling' 'Hans-Ulrich Dodt'] We developed a deconvolution software for light sheet microscopy that uses a theoretical point spread function, which we derived from a model of image formation in a light sheet microscope. We show that this…
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…
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…
F. Sureau, Alexis Lechat, Jean‐Luc Starck
Deconvolution of large survey images with millions of galaxies requires to develop a new generation of methods which can take into account a space variant Point Spread Function (PSF) and have to be at the same time accurate and fast. We investigate in this paper how Deep Learning (DL) could be used to perform this…
M Laasmaa, M Vendelin, P Peterson
Although confocal microscopes have considerably smaller contribution of out-of-focus light than widefield microscopes, the confocal images can still be enhanced mathematically if the optical and data acquisition effects are accounted for. For that, several deconvolution algorithms have been proposed. As a practical…
Martin Welk
In this paper, an iterative method for robust deconvolution with positivity constraints is discussed. It is based on the known variational interpretation of the Richardson-Lucy iterative deconvolution as fixed-point iteration for the minimisation of an information divergence functional under a multiplicative…
Min Guo, Yue Li, Yijun Su, Talley Lambert + 23 more
We describe theoretical and practical advances in algorithm and software design, resulting in ten to several thousand-fold faster deconvolution and multiview fusion than previous methods. First, we adapt methods from medical imaging, showing that an unmatched back projector accelerates Richardson-Lucy deconvolution by…
Philip Wijesinghe, Stella Corsetti, Darren J.X. Chow, Shuzo Sakata + 2 more
Deconvolution is a challenging inverse problem, particularly in techniques that employ complex engineered point-spread functions, such as microscopy with propagation-invariant beams. Here, we present a deep learning method for deconvolution that, in lieu of end-to-end training with ground truths, is trained using known…
Yizhi Song, Cheng Xu, Dao-Xin Ding, Hang Zhou + 2 more
'Shiwei Li'] Song yizhi1,2, Xu cheng1,2 , Ding Daoxin1,2,3, , Zhou Hang1,2 , Quan Tingwei1,2,3 , Li Shiwei1,2,* 1 Collaborative Innovation Center for Biomedical Engineering, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China 2 Britton Chance Center…
Boyoung Kim, Doug Brooks, Alexandra Sorvina, Shane Hickey
To investigate the cellular structure, biomedical researchers often obtain three-dimensional images by combining two-dimensional images taken along the z axis. However, these images are blurry in all directions due to diffraction limitations. This blur becomes more severe when focusing further inside the specimen as…
Utsav Akhaury, Jean‐Luc Starck, P. Jablonka, F. Courbin + 1 more
'Kevin Michalewicz'] With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize well to different images. A powerful and accessible deconvolution method would allow for the reconstruction of a cleaner…
N. Cantale, F. Courbin, M. Tewes, P. Jablonka + 1 more
We present a two-channel deconvolution method that decomposes images into a parametric point-source channel and a pixelized extended-source channel. Based on the central idea of the deconvolution algorithm proposed by Magain, Courbin & Sohy (1998), the method aims at improving the resolution of the data rather than at…
Peter Kirchweger, Lev Melnikovsky, Shahar Seifer, Michael Elbaum
Cryo-electron tomography is an expanding technology for the study of macromolecules, viruses, and cells. It is often applied to specimens that are too large or heterogeneous for methods based on 2D image averaging such as single particle analysis, e.g., intracellular membranes or organelles. Current practice records a…
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…
Marco Prato, Roberto Cavicchioli, Luca Zanni, Patrizia Boccacci + 1 more
'M. Bertero'] Context. The Richardson-Lucy method is the most popular deconvolution method in astronomy because it preserves the number of counts and the non-negativity of the original object. Regularization is, in general, obtained by an early stopping of Richardson-Lucy iterations. In the case of point-wise objects…
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…
Sylvain Prigent, Stéphanie Dutertre, Aurélien Bidaud-Meynard, Giulia Bertolin + 2 more
Array detector allows a resolution gain for confocal microscopy by combining several images acquired by 32 sub-detectors. A single high resolution image is generally obtained by spatially re-assigning the signal from the 32 sub-detectors and applying a deconvolution procedure. Alternative methods have been proposed to…
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…
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…
Emanuele Quattrocchi, Baptiste Py, Adeleke Maradesa, Quentin Meyer + 2 more
Electrochemical impedance spectroscopy (EIS) is a characterization technique widely used to evaluate the properties of electrochemical systems. The distribution of relaxation times (DRT) has emerged as a model-free alternative to equivalent circuits and physical models to circumvent the inherent challenges of EIS…
Amelia Carolina Sparavigna
Here we consider calcite and its spectra (Raman and infrared) that we can find in the RRUFF database. We apply q-Gaussian and q-BWF functions to decompose the spectra. The q-Gaussian functions had been derived in the framework of Tsallis analysis of entropy. Their use for Raman spectroscopy has been proposed by…
Denice van Herwerden, Jake O'Brien, Sascha Lege, Bob Pirok + 2 more
Fragment deconvolution is a crucial step during componentization of non-targeted analysis (NTA) high-resolution mass spectrometry (HRMS) data, aiming to filter out false positive (FP) signals that do not belong to the component. Moreover, inclusion of FP fragments could lead to, for example, wrong identification…
Authors not listed
Scanning emission-based microscopies, such as X-ray fluorescence (XRF) and energy-dispersive X-ray spectroscopy, offer nanometer-scale chemical maps, but suffer from long acquisition times and radiation damage. Lower-flux and shorter dwell time scans mitigate this problem, but the resulting signal loss can only…
Amelia Carolina Sparavigna
Natrolite, Na2(Si3Al2)O10·2H2O, is a member of a group of zeolite minerals, made of hydrated aluminosilicate minerals. Due to their structure, zeolites have channels, through which water and ions can move. In the RRUFF database, we find the following members of the group: natrolite, mesolite, scolecite, and gonnardite.…
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…