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Meta Shack–Hartmannwavefront sensor with large sampling density and large angular field of view:phase imaging of complex objects

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Light(Science & Applications) 2024年第9期13卷 1908-1918页

作者： Gi-Hyun Go Dong-gu lee Jaeyeon Oh Gookho Song doeon lee Mooseok Jang Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology(KAIST)DaejeonRepublic of Korea

Shack–Hartmann wavefront sensors measure the local slopes of an incoming wavefront based on the displacement of focal spots created by a lenslet array,serving as key components for adaptive optics for astronomical and biomedical ***,the challenges in increasing the density and the curvature of the lenslet have limited the use of such wavefront sensors in characterizing slowly varying wavefront ***,we develop a metasurfaceenhanced Shack–Hartmann wavefront sensor(meta SHWFS)to break this limit,considering the interplay between the lenslet parameters and the performance of *** experimentally validate the meta SHWFS with a sampling density of 5963 permm2 and a maximum acceptance angle of 8°which outperforms the traditional SFWFS by an order of ***,to the best of our knowledge,we demonstrate the first use of a wavefront sensing scheme in single-shot phase imaging of highly complex patterns,including biological tissue *** proposed approach opens up new opportunities in incorporating exceptional light manipulation capabilities of the metasurface platform in complex wavefront characterization.

关键词： angular curvature exceptional

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Near-sensor computing-assisted simultaneous viral antigen and antibody detection via integrated label-free biosensors with microfluidics

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InfoMat 2023年第10期5卷 80-95页

作者： Byungjoon Bae Yongmin Baek Jeongyong Yang Heesung lee Charana S.S.Sonnadara Sangeun Jung Minseong Park doeon lee Sihwan Kim Gaurav Giri Sahil Shah Geonwook Yoo William APetri Kyusang lee Department of Electrical and Computer Engineering University of VirginiaCharlottesvilleVirginiaUSA School of Electronic Engineering Soongsil UniversitySeoulRepublic of Korea Department of Electrical and Computer Engineering University of MarylandCollege ParkMarylandUSA Department of Chemical Engineering University of VirginiaCharlottesvilleVirginiaUSA Division of Infectious Diseases and International Health Department of MedicineSchool of MedicineUniversity of VirginiaCharlottesvilleVirginiaUSA Department of Material Science and Engineering University of VirginiaCharlottesvilleVirginiaUSA Department of Intelligent Semiconductors Soongsil UniversitySeoulRepublic of Korea

Precise diagnosis and immunity to viruses,such as severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and Middle East respiratory syndrome coronavirus(MERS-CoV)is achieved by the detection of the viral antigens and/or corresponding antibodies,***,a widely used antigen detection methods,such as polymerase chain reaction(PCR),are complex,expensive,and time-consuming Furthermore,the antibody test that detects an asymptomatic infection and immunity is usually performed separately and exhibits relatively low *** achieve a simplified,rapid,and accurate diagnosis,we have demonstrated an indium gallium zinc oxide(IGZO)-based biosensor field-effect transistor(bio-FET)that can simultaneously detect spike proteins and antibodies with a limit of detection(LOD)of 1 pg mL–1 and 200 ng mL–1,respectively using a single assay in less than 20 min by integrat-ing microfluidic channels and artificial neural networks(ANNs).The near-sensor ANN-aided classification provides high diagnosis accuracy(>93%)with significantly reduced processing time(0.62%)and energy consumption(5.64%)compared to the software-based *** believe that the development of rapid and accurate diagnosis system for the viral antigens and antibodies detec-tion will play a crucial role in preventing global viral outbreaks.

关键词： artificial intelligence biosensor edge-computing integration microfluidic

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