supported by the National Natural Science Foundation of China[Grant Nos.62205367 and 62141506];Suzhou Basic Research Pilot Project[Grant Nos.SSD2023006 and SJC2021013];Jiangsu Provincial Key Research and Development Program[Grant No.BE2020664].
Super-resolution structured illumination microscopy(SR-SIM)relies heavily on post-processing reconstruction to obtain high-quality SR images from raw data.Although many SIM reconstruction algorithms have been develope...
supported in part by the National Natural Science Foundation of China(62101278,62001379,62271023);Beijing Natural Science Foundation(7242269).
Deep learning(DL)-based image reconstruction methods have garnered increasing interest in the last few years.Numerous studies demonstrate that DL-based reconstruction methods function admirably in optical tomographic ...
Single-photon sensors are novel devices with extremely high single-photon sensitivity and temporal resolution.However,these advantages also make them highly susceptible to noise.Moreover,single-photon cameras face sev...
Subjects funded by the National Natural Science Foundation of China(Nos.62275216 and 61775181);the Natural Science Basic Research Programme of Shaanxi Province-Major Basic Research Special Project(Nos.S2018-ZC-TD-0061 and TZ0393);the Special Project for the Development of National Key Scientific Instruments and Equipment No.(51927804).
Deep learning is capable of greatly promoting the progress of super-resolution imaging technology in terms of imaging and reconstruction speed,imaging resolution,and imagingflux.This paper proposes a deep neural netwo...
Thirty years ago,we demonstrated laser-based depth-resolved optoacoustic imaging of biological tissues^([1–3]),laying an important foundation for modern optoacoustic tomography(OAT)alternatively called photoacoustic ...
National Natural Science Foundation of China(12101204,12261021);Heilongjiang Provincial Natural Science Foundation of China(LH2023A018);Modern Numerical Method Course for Research Program on Teaching Reform of Degree and Postgraduate Education of Heilongjiang University(2024)。
The image reconstruction of electrical impedance tomography(EIT)is a nonlinear and ill-posed inverse problem and the imaging results are easily affected by measurement noise,which needs to be solved by using regulariz...
National Natural Science Foundation of China,Grant/Award Numbers:52077118,62411560155;Basic and Applied Basic Research Foundation of Guangdong Province,Grant/Award Number:2024A1515012597。
Optical image method has been the earliest and most used direct method for observing gas discharge.Currently,research on gas discharge monitoring based on visible light mainly relies on high-speed cameras,but the larg...
supported by the National Natural Science Foundation of China(Nos.12275120,11875163);Ministry of Science and Technology of China(No.2020YFE0202001);Science and Technology Innovation Program of Hunan Province(No.2022RC1202);Hunan Provincial Natural Science Foundation(No.2021JJ20006).
Cosmic-ray muons are highly penetrating background-radiation particles found in natural environments.In this study,we develop and test a plastic scintillator muon detector based on machine-learning algorithms.The dete...
supported by the National Natural Science Foundation of China under Grant No.62062023.
Deep neural networks(DNNs)are vulnerable to elaborately crafted and imperceptible adversarial perturbations.With the continuous development of adversarial attack methods,existing defense algorithms can no longer defen...
Underwater images are often with biased colours and reduced contrast because of the absorption and scattering effects when light propagates in water.Such images with degradation cannot meet the needs of underwater ope...