Ultraviolet(UV)imaging enables a diverse array of applications,such as material composition analysis,biological fluorescence imaging,and detecting defects in semiconductor manufacturing.However,scientific-grade UV cam...Ultraviolet(UV)imaging enables a diverse array of applications,such as material composition analysis,biological fluorescence imaging,and detecting defects in semiconductor manufacturing.However,scientific-grade UV cameras with high quantum efficiency are expensive and include complex thermoelectric cooling systems.Here,we demonstrate a UV computational ghost imaging(UV-CGI)method to provide a cost-effective UV imaging and detection strategy.By applying spatial–temporal illumination patterns and using a 325 nm laser source,a singlepixel detector is enough to reconstruct the images of objects.We use UV-CGI to distinguish four UV-sensitive sunscreen areas with different densities on a sample.Furthermore,we demonstrate dark-field UV-CGI in both transmission and reflection schemes.By only collecting the scattered light from objects,we can detect the edges of pure phase objects and small scratches on a compact disc.Our results showcase a feasible low-cost solution for nondestructive UV imaging and detection.By combining it with other imaging techniques,such as hyperspectral imaging or time-resolved imaging,a compact and versatile UV computational imaging platform may be realized for future applications.展开更多
Narrowband red,green,blue self-filtering perovskite photodetectors and a broadband white photodetector are incorporated into a single pixel imaging camera to mimic the long-,medium-,and short-wavelength cone cells and...Narrowband red,green,blue self-filtering perovskite photodetectors and a broadband white photodetector are incorporated into a single pixel imaging camera to mimic the long-,medium-,and short-wavelength cone cells and rod cells in human visual system,leading to the demonstration of high-resolution color images in diffuse mode.展开更多
The development of light-sheet microscopy(LSM)1,2 has revolutionized high-resolution imaging of biological organisms in three dimensions(3D)with minimal photodamage3 and high temporal resolution,4 therefore allowing l...The development of light-sheet microscopy(LSM)1,2 has revolutionized high-resolution imaging of biological organisms in three dimensions(3D)with minimal photodamage3 and high temporal resolution,4 therefore allowing long-term observation of biological processes.5,6 The key is to obtain information on subcellular events at both high spatial and temporal resolutions,but the spatial resolution of current LSM methods has been pixel-limited when each frame of the image is collected under a large field of view from an entire large-volume specimen.展开更多
基金National Natural Science Foundation of China(62075004,62275010,11804018)China Postdoctoral Science Foundation(2022M720347,2022TQ0020)+2 种基金Beijing Municipal Natural Science Foundation(4212051,1232027)International Postdoctoral Exchange Fellowship Program(YJ20220241,YJ20220037)Fundamental Research Funds for the Central Universities。
文摘Ultraviolet(UV)imaging enables a diverse array of applications,such as material composition analysis,biological fluorescence imaging,and detecting defects in semiconductor manufacturing.However,scientific-grade UV cameras with high quantum efficiency are expensive and include complex thermoelectric cooling systems.Here,we demonstrate a UV computational ghost imaging(UV-CGI)method to provide a cost-effective UV imaging and detection strategy.By applying spatial–temporal illumination patterns and using a 325 nm laser source,a singlepixel detector is enough to reconstruct the images of objects.We use UV-CGI to distinguish four UV-sensitive sunscreen areas with different densities on a sample.Furthermore,we demonstrate dark-field UV-CGI in both transmission and reflection schemes.By only collecting the scattered light from objects,we can detect the edges of pure phase objects and small scratches on a compact disc.Our results showcase a feasible low-cost solution for nondestructive UV imaging and detection.By combining it with other imaging techniques,such as hyperspectral imaging or time-resolved imaging,a compact and versatile UV computational imaging platform may be realized for future applications.
文摘Narrowband red,green,blue self-filtering perovskite photodetectors and a broadband white photodetector are incorporated into a single pixel imaging camera to mimic the long-,medium-,and short-wavelength cone cells and rod cells in human visual system,leading to the demonstration of high-resolution color images in diffuse mode.
文摘The development of light-sheet microscopy(LSM)1,2 has revolutionized high-resolution imaging of biological organisms in three dimensions(3D)with minimal photodamage3 and high temporal resolution,4 therefore allowing long-term observation of biological processes.5,6 The key is to obtain information on subcellular events at both high spatial and temporal resolutions,but the spatial resolution of current LSM methods has been pixel-limited when each frame of the image is collected under a large field of view from an entire large-volume specimen.
