Results 111 to 120 of about 323,867 (242)

Blind deconvolution under band limitation [PDF]

, 2003
A blind deconvolution method is developed on conditions: a point spread function is band-limited, both an object and a PSF are nonnegative, and output is a diffraction-limited object.
MIURA, Noriaki
core  

An effective variational model for simultaneous reconstruction and segmentation of blurred images

Journal of Algorithms & Computational Technology, 2016
The segmentation of blurred images is of great importance. There have been several recent pieces of work to tackle this problem and to link the areas of image segmentation and image deconvolution in the case where the blur function κ is known or of known
Bryan M Williams, Jack A Spencer, Ke Chen, Yalin Zheng, Simon Harding   +4 more
doaj   +1 more source

Blind deconvolution in autocorrelation inversion for multiview light-sheet microscopy. [PDF]

Microsc Res Tech, 2022
Corbetta E, Candeo A, Bassi A, Ancora D.
europepmc   +1 more source

Time‐Resolved Multi‐Omics Identify Biomarkers of Immediate Reactions to mRNA Vaccination

Allergy, EarlyView.
We compared early vaccine‐induced immune and metabolic signatures and downstream immunity after second and booster BNT162b2 doses in participants with sARs, ISSRs, or no reactions. Neutrophil mobilization, antiviral programs, and robust anti‐S‐antibody responses occurred across reaction groups.
Ana Olivera, Benjamin Schwarz, Brittany Dulek, Ian S. LaCroix, Min Li, Lindsay Chatman, Muhammad B. Khalid, Ellen Zektser, Karen Laky, Stella Hartono, Eric Bohrnsen, Cole D. Kimzey, Eric Chu, Roa Harb, Pamela A. Frischmeyer‐Guerrerio   +14 more
wiley   +1 more source

Richardson–Lucy Iterative Blind Deconvolution with Gaussian Total Variation Constraints for Space Extended Object Images

Photonics
In ground-based astronomical observations or artificial space target detections, images obtained from a ground-based telescope are severely distorted due to atmospheric turbulence. The distortion can be partially compensated by employing adaptive optics (
Shiping Guo, Yi Lu, Yibin Li
doaj   +1 more source

Convolutional dictionary learning for blind deconvolution of optical coherence tomography images. [PDF]

Biomed Opt Express, 2022
Wang J, Wohlberg B, Adamson RBA.
europepmc   +1 more source

A quad‐cistronic fluorescent biosensor system for real‐time detection of subcellular Ca2+ signals

British Journal of Pharmacology, EarlyView.
Background and Purpose The calcium ion (Ca2+) is a versatile cellular messenger regulating a variety of biological processes. Compounds modulating subcellular Ca2+ signals hold substantial pharmacological potential. Advances in fluorescent biosensors have revolutionised Ca2+ imaging.
Anna Lischnig, Yusuf C. Erdoğan, Benjamin Gottschalk, Michael Gruber, Andrea Groselj‐Strele, Sandra Burgstaller, Wolfgang F. Graier, Roland Malli   +7 more
wiley   +1 more source

Non-parametric PSF estimation from celestial transit solar images using blind deconvolution

Journal of Space Weather and Space Climate, 2016
Context: Characterization of instrumental effects in astronomical imaging is important in order to extract accurate physical information from the observations.
González Adriana, Delouille Véronique, Jacques Laurent   +2 more
doaj   +1 more source

FDX1 Depletion Activates CD8+ T Cell Antitumor Immunity by Promoting DMBT1 Secretion in Cuproptosis of Colorectal Cancer

Cancer Science, EarlyView.
Elesclomol‐induced cuproptosis potently activates both innate and adaptive antitumor immunity, especially CD8+ T cell immunity. FDX1 serves as a central regulator of CD8+ T cell functionality through DMBT1 downregulation during cuproptosis in colorectal cancer.
Jieqiong Wu, Zaixi Lian, Mingzhou Li, Xingtu Qin, Xiaoyu Lei, Lihua Yang, Lin Bing, Qiuyue Li, Lingyan Zhou, Zhiyang Ma, Xuemei Xu, Jinghao Huang, Zilong Chen, Lijie Chen, Lingjie Zhang, Zhiyuan Xiao, Xiangyu Jian, Xiaoqin Zhang, Yanqing Ding, Yaping Ye, Li Liang, Hongli Jiao, Shuyang Wang   +22 more
wiley   +1 more source

Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs. [PDF]

J Am Stat Assoc, 2023
Chen Y, Fan J, Wang B, Yan Y.
europepmc   +1 more source