High-speed hyperspectral imaging enabled by compressed sensing in time domain
作者机构:The University of TokyoDepartment of ChemistryTokyoJapan The University of TokyoResearch Center for SpectrochemistryTokyoJapan Tokyo Institute of TechnologySchool of ComputingDepartment of Computer ScienceTokyoJapan University of CaliforniaDepartment of BioengineeringLos AngelesCaliforniaUnited States Wuhan UniversityInstitute of Technological SciencesWuhanChina
出 版 物:《Advanced Photonics Nexus》 (先进光子学通讯(英文))
年 卷 期:2023年第2卷第2期
页 面:112-118页
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by JST PRESTO(Grant No.JPMJPR1878) JST FOREST(Grant No.21470594) JSPS Grant-in-Aid for Young Scientists(20K15227) Grant-in-Aid for Scientific Research(B)(Grant No.22538379) Grant-inAid for JSPS Fellows(Grant No.21J11484) JSPS Core-toCore Program,White Rock Foundation,Nakatani Foundation,and Ogasawara Foundation for the Promotion of Science and Engineering
主 题:hyperspectral imaging Raman spectroscopy compressed sensing high-speed imaging
摘 要:Hyperspectral imaging(HSI)is a powerful tool widely used for various scientific and industrial applications due to its ability to provide rich spatiospectral ***,in exchange for multiplex spectral information,its image acquisition rate is lower than that of conventional imaging,with up to a few *** particular,HSI in the infrared region and using nonlinear optical processes is impractically slow because the three-dimensional(3D)data cube must be scanned in a point-by-point *** this study,we demonstrate a framework to improve the spectral image acquisition rate of HSI by integrating time-domain HSI and compressed ***,we simulated broadband coherent Raman imaging at a record high frame rate of 25 frames per second(fps)with 100 pixels×100 pixels,which is 10×faster than that of previous work,based on an experimentally feasible sampling scheme utilizing 3D Lissajous scanning.