In this study, fresh pork tenderness, drip-loss, pH value and color parameters （ CIE, a ＊ , b ＊ and L ＊ values） were simultaneously predicted using hyperspectral scattering imaging （HSI） technique. The hyperspe...In this study, fresh pork tenderness, drip-loss, pH value and color parameters （ CIE, a ＊ , b ＊ and L ＊ values） were simultaneously predicted using hyperspectral scattering imaging （HSI） technique. The hyperspectral scattering images of dO fresh pork samples were collected at the wavelength of 400 -I 100 nm, and the scattering profiles were fitted via Lorontzian distribution （ LD ） function to give three parameters a （ asymptotic value ）, b （peak value ） and c （ full width at b/2）. Stepwise discrimination was performed to determine the optimal wavelengths combinations. The LD parameters combinations （a, b and c） of optimal wavelengths were used to establish multi-linear regression （MLR） models to predict the pork attributes. The models were able to predict pork with high correlation coefficients of 0.92 for drip-loss, 0.94, 0.92 and 0.98 respectively for color parameters （ a ＊ , b＊ and L ＊ ）, and for tenderness and pH value the models gave the correlation coefficients of 0.69 and 0.76, respectively. These results showed that the hyperspectral scattering technique was capable of predicting quality parameters of perk. The study provides an efficient means for rapid and nondestructive determination of pork quality simultaneously.展开更多
A laser-induced resonance light scattering （RLS） imaging method to determine heparin is described based on the high light scattering emission power of the aggregation species of heparin with α, β, γ, δ-tetra（4-...A laser-induced resonance light scattering （RLS） imaging method to determine heparin is described based on the high light scattering emission power of the aggregation species of heparin with α, β, γ, δ-tetra（4-trimethylaminoniumphenyl）prophyrin （TAPP） in solution, By imaging the light scattering signals of the aggregation species, we proposed the method to determine the heparin with a detection range of 0.02 - 0.6μg/mL and the detection limit （30） of 1.3 ng/mL.展开更多
The speckle correlation technique(SCT),a noninvasive scattering imaging technique,has attracted widespread attention but is limited by the requirement of narrowband illumination.To address this drawback,we propose a b...The speckle correlation technique(SCT),a noninvasive scattering imaging technique,has attracted widespread attention but is limited by the requirement of narrowband illumination.To address this drawback,we propose a broadband scattering imaging method based on speckle frequency refinement,which can effectively extract the useful components of speckle under broadband illumination.We verified its effectiveness through experiments with 10-400 nm bandwidth illumination.Notably,even under 400 nm bandwidth illumination,comparable to white light,the structural similarity index measure(SSIM)of the reconstruction by our method can stay above 0.6.This method can reconstruct the object using single-shot broadband speckles,demonstrating its potential advantages in practical applications.展开更多
Imaging of surface-enhanced Raman scattering(SERS) nanoparticles(NPs) has been intensively studied for cancer detection due to its high sensitivity, unconstrained low signal-to-noise ratios, and multiplexing detection...Imaging of surface-enhanced Raman scattering(SERS) nanoparticles(NPs) has been intensively studied for cancer detection due to its high sensitivity, unconstrained low signal-to-noise ratios, and multiplexing detection capability. Furthermore, conjugating SERS NPs with various biomarkers is straightforward, resulting in numerous successful studies on cancer detection and diagnosis. However, Raman spectroscopy only provides spectral data from an imaging area without co-registered anatomic context.展开更多
Transforming a scattering medium into a lens for imaging very simple binary objects is possible;however,it remains challenging to image complex grayscale objects,let alone measure 3D continuous distribution objects.He...Transforming a scattering medium into a lens for imaging very simple binary objects is possible;however,it remains challenging to image complex grayscale objects,let alone measure 3D continuous distribution objects.Here,we propose and demonstrate the use of a ground glass diffuser as a scattering lens for imaging complex grayscale fringes,and we employ it to achieve microscopic structured light 3D imaging(MSL3DI).The ubiquitous property of the speckle patterns permits the exploitation of the scattering medium as an ultra-thin scattering lens with a variable focal length and a flexible working distance for microscale object measurement.The method provides a light,flexible,and cost-effective imaging device as an alternative to microscope objectives or telecentric lenses in conventional MSL3DI systems.We experimentally demonstrate that employing a scattering lens allows us to achieve relatively good phase information and robust 3D imaging from depth measurements,yielding measurement accuracy only marginally lower than that of a telecentric lens,typically within approximately 10μm.Furthermore,the scattering lens demonstrates robust performance even when the imaging distance exceeds the typical working distance of a telecentric lens.The proposed method facilitates the application of scattering imaging techniques,providing a more flexible solution for MSL3DI.展开更多
Noninvasive speckle autocorrelation is a promising technique for single-shot optical imaging through scattering media.However,it fails to image multiple distinct targets within an object space through scattering media...Noninvasive speckle autocorrelation is a promising technique for single-shot optical imaging through scattering media.However,it fails to image multiple distinct targets within an object space through scattering media because it is constrained by the tiny effective range of the optical memory effect.We present a method for multi-object single-shot imaging through scattering media that incorporates deep learning into the speckle autocorrelation technique,wherein the field of view(FOV)is customized by recovered autocorrelation sidelobes,and a conventional phase-retrieval algorithm is applied to a complete set of expected speckle autocorrelations to identify multiple target objects and their relative positions.Experiments verify the feasibility of customizing the FOV for imaging through scattering media.Image reconstruction results show that the proposed approach produces superior image quality compared to existing methods.We also demonstrate its generalization capability across different object types and unknown scattering media.展开更多
Single-pixel imaging(SPI)is a prominent scattering media imaging technique that allows image transmission via one-dimensional detection under structured illumination,with applications spanning from long-range imaging ...Single-pixel imaging(SPI)is a prominent scattering media imaging technique that allows image transmission via one-dimensional detection under structured illumination,with applications spanning from long-range imaging to microscopy.Recent advancements leveraging deep learning(DL)have significantly improved SPI performance,especially at low compression ratios.However,most DL-based SPI methods proposed so far rely heavily on extensive labeled datasets for supervised training,which are often impractical in real-world scenarios.Here,we propose an unsupervised learningenabled label-free SPI method for resilient information transmission through unknown dynamic scattering media.Additionally,we introduce a physics-informed autoencoder framework to optimize encoding schemes,further enhancing image quality at low compression ratios.Simulation and experimental results demonstrate that high-efficiency data transmission with structural similarity exceeding 0.9 is achieved through challenging turbulent channels.Moreover,experiments demonstrate that in a 5 m underwater dynamic turbulent channel,USAF target imaging quality surpasses traditional methods by over 13 dB.The compressive encoded transmission of 720×720 resolution video exceeding 30 seconds with great fidelity is also successfully demonstrated.These preliminary results suggest that our proposed method opens up a new paradigm for resilient information transmission through unknown dynamic scattering media and holds potential for broader applications within many other scattering media imaging technologies.展开更多
A novel sensitive semi-quantitative virus detection technique was developed using the respiratory syncytial virus(RSV) as an example, through dark-field light scattering imaging of the surface state of the virusinvade...A novel sensitive semi-quantitative virus detection technique was developed using the respiratory syncytial virus(RSV) as an example, through dark-field light scattering imaging of the surface state of the virusinvaded host cells. In this method, anti-RSV-antibody modified gold nanoparticles(Au NPs) could bind with the invading virus on the cell membrane of the infected host cells through the specific antibody-antigen binding. Then,the host cells could be imaged by the localized surface plasmon resonance light scattering properties of Au NPs under a dark-field light scattering microscopy, which could be further used to semi-quantify the invading virus.展开更多
The Lamb shift of a quantum emitter in close proximity to a plasmonic nanostructure can be three or more orders of magnitude larger than that in the free space and is ultra-sensitive to the emitter position and polari...The Lamb shift of a quantum emitter in close proximity to a plasmonic nanostructure can be three or more orders of magnitude larger than that in the free space and is ultra-sensitive to the emitter position and polarization.We demonstrate that this large Lamb shift can be sensitively observed from the scattering or absorption spectrum dip shift of the coupled system when the plasmonic nanoparticle or tip scans the emitter.Using these observations,we propose a scanning optical scattering imaging method based on the plasmonic-enhanced Lamb shift with achieves sub-nanometer resolution.Our method is based on the scattering or absorption spectrum of the plasmon-emitter coupling system,which is free of the fluorescence quenching problem and easier to implement in a plasmon-emitter coupling system.In addition,our scheme works even if the quantum emitter is slightly below the dielectric surface,which can bring about broader applications,such as detecting atoms and molecules or quantum dots above or under a surface.展开更多
A resonance light scattering （RLS） imaging method was proposed based on imaging and measuring the RLS features of single suprahelical species of DNA, and its appfication to DNA assay was also investigated. In acidic...A resonance light scattering （RLS） imaging method was proposed based on imaging and measuring the RLS features of single suprahelical species of DNA, and its appfication to DNA assay was also investigated. In acidic medium, porphine-5,10,15,20-tetrakis（p-phenyltlimethylaminium） （PTPTMA）, could stack along the molecular surface of DNA with the mode of long-range assembly to induce the formation of suprahelical species of DNA, resulting in strong RLS signals in the range of 450-510 nm. Under the excitation of 488 nm fight beam of argon ion laser source, single suprahelical species could be observed with the aid of a common microscope due to the strong scattered fight emitted by the suprahelical species. By capturing the RLS images of the single suprahelical species with a cooled charge coupled device （CCD） camera, and analyzing the RLS data, herein an RLS imaging method of DNA was proposed based on the linear relationship between the counts of suprahelical species in the detection focus plane and the concentration of DNA in nanograms. When 1.8 μmol/L PTPTMA was employed, both calf thymus DNA （ct DNA） and fish sperm DNA （fs DNA） in the range of 25-1100 ng/mL could be detected with the limits of detection lower than 25 ng/mL （3a）. Four synthetic samples were detected satisfactorily with relative standard deviations less than 5.1%.展开更多
Caves located in the buried hill reservoir of granite bedrock in Bongor Basin,Chad,are excessively small and cannot be identifi ed in conventional refl ection wave imaging profi les because their refl ection character...Caves located in the buried hill reservoir of granite bedrock in Bongor Basin,Chad,are excessively small and cannot be identifi ed in conventional refl ection wave imaging profi les because their refl ection characteristics are suppressed by the strong refl ection of the weathering crust at the top of the buried hill.In contrast to refl ection wave imaging,which refl ects the refl ection characteristics of continuous interfaces,scattered wave imaging refl ects the reflection characteristics of discontinuous geological bodies.Scattering waves can be produced in the presence of discontinuous points,such as karst caves,fractures,and stratum vanishing points.Scattering imaging can accurately provide the location of discontinuous abnormal bodies,highlight the seismic reflection characteristics of caves with weak reflections,and eliminate continuous strong reflections to strengthen the ability of seismic data to distinguish discontinuous geological bodies and solve the inability of seismic data from conventional poststack refl ection wave imaging to identify small caves in buried hills.Three-parameter wavelet spectral decomposition technology is used to depict the boundary of caves accurately in accordance with the strong energy spectral characteristics of caves in the section of the scattering imaging seismic data of the granite bedrock buried hill reservoir.Compared with the attributes extracted from conventional refl ection wave poststack seismic data,those acquired from scattering imaging bodies are more reliable and consistent with the actual location of caves on boreholes and have higher resolution.For connected wells,the attributes extracted from the conventional poststack seismic data can only predict whether caves are developed,whereas those calculated from scattering imaging can not only predict whether caves are present but also refl ects the degree of cave development.On the plane,the attributes obtained from scattering imaging calculation are more consistent with the geological law of cave development.On the basis of this fi nding and in accordance with the results of the three-parameter wavelet spectral decomposition of scattering imaging seismic data,the degree of cave development is classifi ed,and the favorable location for reservoir development in the study area is identifi ed.This solution provides an eff ective way to improve the exploration accuracy of cave-type granite buried hill reservoirs.展开更多
Goafs are threats to safe mining.Their imaging effects or those of other complex geological bodies are often poor in conventional reflected wave images.Hence,accurate detection of goafs has become an important problem...Goafs are threats to safe mining.Their imaging effects or those of other complex geological bodies are often poor in conventional reflected wave images.Hence,accurate detection of goafs has become an important problem,to be solved with a sense of urgency.Based on scattering theory,we used an equivalent offset method to extract Common Scattering Point gathers,in order to analyze different scattering wave characteristics between Common Scattering Point and Common Mid Point gathers and to compare stack and migration imaging effects.Our research results show that the scattering wave imaging method is more efficient than the conventional imaging method and is therefore a more effective imaging method for detecting goafs and other complex geological bodies.It has important implications for safe mining procedures and infrastructures.展开更多
We propose and implement a wide-field vibrational phase contrast detection to obtain imaging of imaginary components of third-order nonlinear susceptibility in a coherent anti-Stokes Raman scattering （CARS） microsco...We propose and implement a wide-field vibrational phase contrast detection to obtain imaging of imaginary components of third-order nonlinear susceptibility in a coherent anti-Stokes Raman scattering （CARS） microscope with full suppression of the non-resonant background. This technique is based on the unique ability of recovering the phase of the generated CARS signal based on holographic recording. By capturing the phase distributions of the generated CARS field from the sample and from the environment under resonant illumination, we demonstrate the retrieval of imaginary components in the CARS microscope and achieve background free coherent Raman imaging.展开更多
A novel method combining visualization particle tracking with image-based dynamic light scattering was developed to achieve the in situ and real-time size measurement of nanobubbles(NBs).First,the in situ size distrib...A novel method combining visualization particle tracking with image-based dynamic light scattering was developed to achieve the in situ and real-time size measurement of nanobubbles(NBs).First,the in situ size distribution of NBs was visualized by dark-field microscopy.Then,real-time size during the preparation was measured using image-based dynamic light scattering,and the longitudinal size distribution of NBs in the sample cell was obtained in a steady state.Results show that this strategy can provide a detailed and accurate size of bubbles in the whole sample compared with the commercial ZetaSizer Nano equipment.Therefore,the developed method is a real-time and simple technology with excellent accuracy,providing new insights into the accurate measurement of the size distribution of NBs or nanoparticles in solution.展开更多
Scattered light imaging through complex turbid media has significant applications in biomedical and optical research.For the past decade,various approaches have been proposed for rapidly reconstructing fullcolor,depth...Scattered light imaging through complex turbid media has significant applications in biomedical and optical research.For the past decade,various approaches have been proposed for rapidly reconstructing fullcolor,depth-extended images by introducing point spread functions(PSFs).However,because most of these methods consider memory effects(MEs),the PSFs have angular shift invariance over certain ranges of angles.This assumption is valid for only thin turbid media and hinders broader applications of these technologies in thick media.Furthermore,the time-variant characteristics of scattering media determine that the PSF acquisition and image reconstruction times must be less than the speckle decorrelation time,which is usually difficult to achieve.We demonstrate that image reconstruction methods can be applied to timevariant thick turbid media.Using the time-variant characteristics,the PSFs in dynamic turbid media within certain time intervals are recorded,and ergodic scattering regimes are achieved and combined as ensemble point spread functions(ePSFs).The ePSF traverses shift-invariant regions in the turbid media and retrieves objects beyond the ME.Furthermore,our theory and experimental results verify that our approach is applicable to thick turbid media with thickness of 1 cm at visible incident wavelengths.展开更多
A visible light imaging Thomson scattering （VIS-TVTS） diagnostic system has been developed for the measurement of plasma electron temperature on the HT-7 tokamak. The system contains a Nd：YAG laser （A = 532 nm, re...A visible light imaging Thomson scattering （VIS-TVTS） diagnostic system has been developed for the measurement of plasma electron temperature on the HT-7 tokamak. The system contains a Nd：YAG laser （A = 532 nm, repetition rate 10 Hz, total pulse duration ≈ 10 ns, pulse energy 〉 1.0 J）, a grating spectrometer, an image intensifier （I.I.） lens coupled with an electron multiplying CCD （EMCCD） and a data acquisition and analysis system. In this paper, the measurement capability of the system is analyzed. In addition to the performance of the system, the capability of measuring plasma electron temperature has been proved. The profile of electron temperature is presented with a spatial resolution of about 0.96 cm （seven points） near the center of the plasma.展开更多
Imaging through scattering media faces a critical challenge:deep-learning-based methods inherently suppress high-frequency speckle information,limiting the recovery of fine textures and edges.To overcome this spectral...Imaging through scattering media faces a critical challenge:deep-learning-based methods inherently suppress high-frequency speckle information,limiting the recovery of fine textures and edges.To overcome this spectral bias,we introduce the concept of the relative speckle frequency domain(RsFD),which redefines high-frequency features as learnable,adaptive components via frequency-domain decomposition.We demonstrate that independently processing generalized high-frequency speckle components enables neural networks to capture latent target details previously obscured in conventional approaches.Leveraging this principle,we design FDUnet,a dualbranch network comprising a low-frequency sub-network(Lnet)for global structure reconstruction and a relative high-frequency sub-network(RHnet)dedicated to enhancing textures and edges.Experiments confirm FDUnet's superiority:it outperforms state-of-the-art methods in both visual fidelity and quantitative metrics by +5.9% to 8.7% in SSIM and+5.4 to 7.9 dB in PSNR across diverse datasets(MNIST,Fashion-MNIST,FERET).These enhancements translate into notable improvements in the preservation of textures and edges,especially exhibiting exceptional robustness to multimode fiber perturbations.This work bridges the gap between physical priors and neural network learning,unlocking new potentials for high-fidelity applications,such as biomedical endoscopic imaging,in dynamic scattering environments.展开更多
We propose a design method for a diffractive neural network(DNN)for imaging through scattering media,offering robustness against the spatial coherence of illumination,scattering strength,and scattering dynamics.Most t...We propose a design method for a diffractive neural network(DNN)for imaging through scattering media,offering robustness against the spatial coherence of illumination,scattering strength,and scattering dynamics.Most techniques for imaging through scattering media are time-consuming and/or tailored to specific optical conditions.The DNN,composed of layers of diffractive optical elements(DOEs),optically reproduces the intensity distributions of objects behind scattering media without any computational processing.Datasets with randomized optical parameters are provided during the training process to achieve this robustness.We demonstrate the proposed method through numerical calculations and show its promising capability for DOE design.Our study paves the way for unifying and generalizing techniques for imaging through scattering media,which are currently fragmented by specific scenarios,enabling highly flexible imaging independent of optical conditions.展开更多
Non-invasive measurement of the transmission matrix(TM)enables light focusing through scattering media using linear fluorescence signals.However,its speed is limited by the frame rate of the array detector.Although ph...Non-invasive measurement of the transmission matrix(TM)enables light focusing through scattering media using linear fluorescence signals.However,its speed is limited by the frame rate of the array detector.Although photodetectors can achieve fast light focusing,they can only detect single-point signals and are ineffective in scenarios that require speckle information,such as non-invasive focusing.展开更多
Light field imaging has shown significance in research fields for its high-temporal-resolution 3D imaging ability.However,in scenes of light field imaging through scattering,such as biological imaging in vivo and imag...Light field imaging has shown significance in research fields for its high-temporal-resolution 3D imaging ability.However,in scenes of light field imaging through scattering,such as biological imaging in vivo and imaging in fog,the quality of 3D reconstruction will be severely reduced due to the scattering of the light field information.In this paper,we propose a deep learning-based method of scattering removal of light field imaging.In this method,a neural network,trained by simulation samples that are generated by light field imaging forward models with and without scattering,is utilized to remove the effect of scattering on light fields captured experimentally.With the deblurred light field and the scattering-free forward model,3D reconstruction with high resolution and high contrast can be realized.We demonstrate the proposed method by using it to realize high-quality 3D reconstruction through a single scattering layer experimentally.展开更多
基金Supported by Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi Province(2013123)
文摘In this study, fresh pork tenderness, drip-loss, pH value and color parameters （ CIE, a ＊ , b ＊ and L ＊ values） were simultaneously predicted using hyperspectral scattering imaging （HSI） technique. The hyperspectral scattering images of dO fresh pork samples were collected at the wavelength of 400 -I 100 nm, and the scattering profiles were fitted via Lorontzian distribution （ LD ） function to give three parameters a （ asymptotic value ）, b （peak value ） and c （ full width at b/2）. Stepwise discrimination was performed to determine the optimal wavelengths combinations. The LD parameters combinations （a, b and c） of optimal wavelengths were used to establish multi-linear regression （MLR） models to predict the pork attributes. The models were able to predict pork with high correlation coefficients of 0.92 for drip-loss, 0.94, 0.92 and 0.98 respectively for color parameters （ a ＊ , b＊ and L ＊ ）, and for tenderness and pH value the models gave the correlation coefficients of 0.69 and 0.76, respectively. These results showed that the hyperspectral scattering technique was capable of predicting quality parameters of perk. The study provides an efficient means for rapid and nondestructive determination of pork quality simultaneously.
基金supports from the National Natural Science Foundation of China(No.20425517,No.20275032)the Program for New Century Excellent Talents in University(NCET-04-0852)+1 种基金Chun Hui Program(No:[2004]7-24)directed under the Ministry of Education of PRCthe Municipal Science and Technology Committee of Chongqing.
文摘A laser-induced resonance light scattering （RLS） imaging method to determine heparin is described based on the high light scattering emission power of the aggregation species of heparin with α, β, γ, δ-tetra（4-trimethylaminoniumphenyl）prophyrin （TAPP） in solution, By imaging the light scattering signals of the aggregation species, we proposed the method to determine the heparin with a detection range of 0.02 - 0.6μg/mL and the detection limit （30） of 1.3 ng/mL.
基金supported by the National Natural Science Foundation of China(Nos.62405231,62375212,and62405235)the National Key Laboratory of Infrared Detection Technologies(No.IRDT-23-06)+4 种基金the National Key Laboratory of Space Target Awareness,Fundamental Research Funds for the Central Universities(Nos.XJSJ24028 and XJS222202)the Open Research Fund of Beijing Key Laboratory of Advanced Optical Remote Sensing Technology(No.AORS202405)the China Postdoctoral Science Foundation(No.2024M762527)the Shaanxi Province High-level Innovation and Entrepreneurship Talent Program(No.H02439005)the Natural Science Foundation of Shaanxi(Nos.S2024-JC-JCQN-60 and S2025-JC-QYTS-0107)。
文摘The speckle correlation technique(SCT),a noninvasive scattering imaging technique,has attracted widespread attention but is limited by the requirement of narrowband illumination.To address this drawback,we propose a broadband scattering imaging method based on speckle frequency refinement,which can effectively extract the useful components of speckle under broadband illumination.We verified its effectiveness through experiments with 10-400 nm bandwidth illumination.Notably,even under 400 nm bandwidth illumination,comparable to white light,the structural similarity index measure(SSIM)of the reconstruction by our method can stay above 0.6.This method can reconstruct the object using single-shot broadband speckles,demonstrating its potential advantages in practical applications.
基金National Science Foundation (1808436,1918074,2306708,2237142-CAREER)U.S.Department of Energy (234402)。
文摘Imaging of surface-enhanced Raman scattering(SERS) nanoparticles(NPs) has been intensively studied for cancer detection due to its high sensitivity, unconstrained low signal-to-noise ratios, and multiplexing detection capability. Furthermore, conjugating SERS NPs with various biomarkers is straightforward, resulting in numerous successful studies on cancer detection and diagnosis. However, Raman spectroscopy only provides spectral data from an imaging area without co-registered anatomic context.
基金supported by the National Natural Science Foundation of China(Grant Nos.62275188 and 62505216)the Central Guidance on Local Science and Technology Development Fund(Grant No.YDZJSX2024D019)+1 种基金the International Scientific and Technological Cooperative Project in Shanxi Province(Grant No.202104041101009)the Natural Science Foundation of Shanxi Province of China through Research Project(Grant No.20210302123195).
文摘Transforming a scattering medium into a lens for imaging very simple binary objects is possible;however,it remains challenging to image complex grayscale objects,let alone measure 3D continuous distribution objects.Here,we propose and demonstrate the use of a ground glass diffuser as a scattering lens for imaging complex grayscale fringes,and we employ it to achieve microscopic structured light 3D imaging(MSL3DI).The ubiquitous property of the speckle patterns permits the exploitation of the scattering medium as an ultra-thin scattering lens with a variable focal length and a flexible working distance for microscale object measurement.The method provides a light,flexible,and cost-effective imaging device as an alternative to microscope objectives or telecentric lenses in conventional MSL3DI systems.We experimentally demonstrate that employing a scattering lens allows us to achieve relatively good phase information and robust 3D imaging from depth measurements,yielding measurement accuracy only marginally lower than that of a telecentric lens,typically within approximately 10μm.Furthermore,the scattering lens demonstrates robust performance even when the imaging distance exceeds the typical working distance of a telecentric lens.The proposed method facilitates the application of scattering imaging techniques,providing a more flexible solution for MSL3DI.
基金supported by the National Natural Science Foundation of China(Grant No.62475164)the Guangdong Applied Basic Research Foundation(Grant No.2024A1515010370)+1 种基金the Science and Technology Innovation Commission of Shenzhen(Grant No.JCYJ20240813141402003)the Shenzhen University(Grant Nos.86902-00248 and 868-01032096).
文摘Noninvasive speckle autocorrelation is a promising technique for single-shot optical imaging through scattering media.However,it fails to image multiple distinct targets within an object space through scattering media because it is constrained by the tiny effective range of the optical memory effect.We present a method for multi-object single-shot imaging through scattering media that incorporates deep learning into the speckle autocorrelation technique,wherein the field of view(FOV)is customized by recovered autocorrelation sidelobes,and a conventional phase-retrieval algorithm is applied to a complete set of expected speckle autocorrelations to identify multiple target objects and their relative positions.Experiments verify the feasibility of customizing the FOV for imaging through scattering media.Image reconstruction results show that the proposed approach produces superior image quality compared to existing methods.We also demonstrate its generalization capability across different object types and unknown scattering media.
基金supported by the Natural Science Foundation of China Project(No.62525102).
文摘Single-pixel imaging(SPI)is a prominent scattering media imaging technique that allows image transmission via one-dimensional detection under structured illumination,with applications spanning from long-range imaging to microscopy.Recent advancements leveraging deep learning(DL)have significantly improved SPI performance,especially at low compression ratios.However,most DL-based SPI methods proposed so far rely heavily on extensive labeled datasets for supervised training,which are often impractical in real-world scenarios.Here,we propose an unsupervised learningenabled label-free SPI method for resilient information transmission through unknown dynamic scattering media.Additionally,we introduce a physics-informed autoencoder framework to optimize encoding schemes,further enhancing image quality at low compression ratios.Simulation and experimental results demonstrate that high-efficiency data transmission with structural similarity exceeding 0.9 is achieved through challenging turbulent channels.Moreover,experiments demonstrate that in a 5 m underwater dynamic turbulent channel,USAF target imaging quality surpasses traditional methods by over 13 dB.The compressive encoded transmission of 720×720 resolution video exceeding 30 seconds with great fidelity is also successfully demonstrated.These preliminary results suggest that our proposed method opens up a new paradigm for resilient information transmission through unknown dynamic scattering media and holds potential for broader applications within many other scattering media imaging technologies.
基金supported by the National Basic Research Program of China(2011CB933600)Chongqing Fundamental and Advanced Research Project(cstc2013jcyj A50008)the Fundamental Research Funds for the Central Universities(XDJK2015B029)
文摘A novel sensitive semi-quantitative virus detection technique was developed using the respiratory syncytial virus(RSV) as an example, through dark-field light scattering imaging of the surface state of the virusinvaded host cells. In this method, anti-RSV-antibody modified gold nanoparticles(Au NPs) could bind with the invading virus on the cell membrane of the infected host cells through the specific antibody-antigen binding. Then,the host cells could be imaged by the localized surface plasmon resonance light scattering properties of Au NPs under a dark-field light scattering microscopy, which could be further used to semi-quantify the invading virus.
基金supported by the National Key R&D Program of China(Grant No.2021YFA1400800)the Key-Area Research and Development Program of Guangdong Province(Grant No.2018B030329001)+2 种基金the Guangdong Special Support Program(Grant No.2019JC05X397)the Natural Science Foundation of Guangdong(Grant Nos.2021A15150100392018A030313722)。
文摘The Lamb shift of a quantum emitter in close proximity to a plasmonic nanostructure can be three or more orders of magnitude larger than that in the free space and is ultra-sensitive to the emitter position and polarization.We demonstrate that this large Lamb shift can be sensitively observed from the scattering or absorption spectrum dip shift of the coupled system when the plasmonic nanoparticle or tip scans the emitter.Using these observations,we propose a scanning optical scattering imaging method based on the plasmonic-enhanced Lamb shift with achieves sub-nanometer resolution.Our method is based on the scattering or absorption spectrum of the plasmon-emitter coupling system,which is free of the fluorescence quenching problem and easier to implement in a plasmon-emitter coupling system.In addition,our scheme works even if the quantum emitter is slightly below the dielectric surface,which can bring about broader applications,such as detecting atoms and molecules or quantum dots above or under a surface.
基金Project supported by the National Science Foundation for Preeminence Youth in China （No. 20425517）, the National Natural Science Foundation of China （No. 20275032）, the Scientific Research Fund of Chongqing Municipal Education Commission, Chunhui Program directed under the Ministry of Education of China, and the Municipal Science and Technology Committee of Chongqing.
文摘A resonance light scattering （RLS） imaging method was proposed based on imaging and measuring the RLS features of single suprahelical species of DNA, and its appfication to DNA assay was also investigated. In acidic medium, porphine-5,10,15,20-tetrakis（p-phenyltlimethylaminium） （PTPTMA）, could stack along the molecular surface of DNA with the mode of long-range assembly to induce the formation of suprahelical species of DNA, resulting in strong RLS signals in the range of 450-510 nm. Under the excitation of 488 nm fight beam of argon ion laser source, single suprahelical species could be observed with the aid of a common microscope due to the strong scattered fight emitted by the suprahelical species. By capturing the RLS images of the single suprahelical species with a cooled charge coupled device （CCD） camera, and analyzing the RLS data, herein an RLS imaging method of DNA was proposed based on the linear relationship between the counts of suprahelical species in the detection focus plane and the concentration of DNA in nanograms. When 1.8 μmol/L PTPTMA was employed, both calf thymus DNA （ct DNA） and fish sperm DNA （fs DNA） in the range of 25-1100 ng/mL could be detected with the limits of detection lower than 25 ng/mL （3a）. Four synthetic samples were detected satisfactorily with relative standard deviations less than 5.1%.
文摘Caves located in the buried hill reservoir of granite bedrock in Bongor Basin,Chad,are excessively small and cannot be identifi ed in conventional refl ection wave imaging profi les because their refl ection characteristics are suppressed by the strong refl ection of the weathering crust at the top of the buried hill.In contrast to refl ection wave imaging,which refl ects the refl ection characteristics of continuous interfaces,scattered wave imaging refl ects the reflection characteristics of discontinuous geological bodies.Scattering waves can be produced in the presence of discontinuous points,such as karst caves,fractures,and stratum vanishing points.Scattering imaging can accurately provide the location of discontinuous abnormal bodies,highlight the seismic reflection characteristics of caves with weak reflections,and eliminate continuous strong reflections to strengthen the ability of seismic data to distinguish discontinuous geological bodies and solve the inability of seismic data from conventional poststack refl ection wave imaging to identify small caves in buried hills.Three-parameter wavelet spectral decomposition technology is used to depict the boundary of caves accurately in accordance with the strong energy spectral characteristics of caves in the section of the scattering imaging seismic data of the granite bedrock buried hill reservoir.Compared with the attributes extracted from conventional refl ection wave poststack seismic data,those acquired from scattering imaging bodies are more reliable and consistent with the actual location of caves on boreholes and have higher resolution.For connected wells,the attributes extracted from the conventional poststack seismic data can only predict whether caves are developed,whereas those calculated from scattering imaging can not only predict whether caves are present but also refl ects the degree of cave development.On the plane,the attributes obtained from scattering imaging calculation are more consistent with the geological law of cave development.On the basis of this fi nding and in accordance with the results of the three-parameter wavelet spectral decomposition of scattering imaging seismic data,the degree of cave development is classifi ed,and the favorable location for reservoir development in the study area is identifi ed.This solution provides an eff ective way to improve the exploration accuracy of cave-type granite buried hill reservoirs.
基金Financial support for this work,provided by the Key National Project(No.2008ZX05035)the State Science and Technology Support Program,the National Natural Science Foundation of China (Nos.40574057,40874054,40804026)the State Basic Research and Development Program of China(No.2007CB209406)
文摘Goafs are threats to safe mining.Their imaging effects or those of other complex geological bodies are often poor in conventional reflected wave images.Hence,accurate detection of goafs has become an important problem,to be solved with a sense of urgency.Based on scattering theory,we used an equivalent offset method to extract Common Scattering Point gathers,in order to analyze different scattering wave characteristics between Common Scattering Point and Common Mid Point gathers and to compare stack and migration imaging effects.Our research results show that the scattering wave imaging method is more efficient than the conventional imaging method and is therefore a more effective imaging method for detecting goafs and other complex geological bodies.It has important implications for safe mining procedures and infrastructures.
基金Supported by the National Natural Science Foundation of China under Grant Nos 11174019,61322509 and 11121091the National Basic Research Program of China under Grant No 2013CB921904
文摘We propose and implement a wide-field vibrational phase contrast detection to obtain imaging of imaginary components of third-order nonlinear susceptibility in a coherent anti-Stokes Raman scattering （CARS） microscope with full suppression of the non-resonant background. This technique is based on the unique ability of recovering the phase of the generated CARS signal based on holographic recording. By capturing the phase distributions of the generated CARS field from the sample and from the environment under resonant illumination, we demonstrate the retrieval of imaginary components in the CARS microscope and achieve background free coherent Raman imaging.
基金The National Key Research and Development Program of China(No.2017YFA0104302)the National Natural Science Foundation of China(No.51832001,61821002,81971750).
文摘A novel method combining visualization particle tracking with image-based dynamic light scattering was developed to achieve the in situ and real-time size measurement of nanobubbles(NBs).First,the in situ size distribution of NBs was visualized by dark-field microscopy.Then,real-time size during the preparation was measured using image-based dynamic light scattering,and the longitudinal size distribution of NBs in the sample cell was obtained in a steady state.Results show that this strategy can provide a detailed and accurate size of bubbles in the whole sample compared with the commercial ZetaSizer Nano equipment.Therefore,the developed method is a real-time and simple technology with excellent accuracy,providing new insights into the accurate measurement of the size distribution of NBs or nanoparticles in solution.
基金supported by the National Natural Science Foundation of China(Grant Nos.61991452 and 12074444)the Guangdong Major Project of Basic and Applied Basic Research(Grant No.2020B0301030009)+1 种基金the Guangdong Basic and Applied Basic Research Foundation(Grant No.2020A1515011184)the Guangzhou Basic and Applied Basic Research Foundation(Grant No.202102020987).
文摘Scattered light imaging through complex turbid media has significant applications in biomedical and optical research.For the past decade,various approaches have been proposed for rapidly reconstructing fullcolor,depth-extended images by introducing point spread functions(PSFs).However,because most of these methods consider memory effects(MEs),the PSFs have angular shift invariance over certain ranges of angles.This assumption is valid for only thin turbid media and hinders broader applications of these technologies in thick media.Furthermore,the time-variant characteristics of scattering media determine that the PSF acquisition and image reconstruction times must be less than the speckle decorrelation time,which is usually difficult to achieve.We demonstrate that image reconstruction methods can be applied to timevariant thick turbid media.Using the time-variant characteristics,the PSFs in dynamic turbid media within certain time intervals are recorded,and ergodic scattering regimes are achieved and combined as ensemble point spread functions(ePSFs).The ePSF traverses shift-invariant regions in the turbid media and retrieves objects beyond the ME.Furthermore,our theory and experimental results verify that our approach is applicable to thick turbid media with thickness of 1 cm at visible incident wavelengths.
基金supported by National Natural Science Foundation of China(Nos.11075187,11275233)National Magnetic Confinement Fusion Science Program of China(Nos.2013GB112003,2011GB101003)
文摘A visible light imaging Thomson scattering （VIS-TVTS） diagnostic system has been developed for the measurement of plasma electron temperature on the HT-7 tokamak. The system contains a Nd：YAG laser （A = 532 nm, repetition rate 10 Hz, total pulse duration ≈ 10 ns, pulse energy 〉 1.0 J）, a grating spectrometer, an image intensifier （I.I.） lens coupled with an electron multiplying CCD （EMCCD） and a data acquisition and analysis system. In this paper, the measurement capability of the system is analyzed. In addition to the performance of the system, the capability of measuring plasma electron temperature has been proved. The profile of electron temperature is presented with a spatial resolution of about 0.96 cm （seven points） near the center of the plasma.
基金National Natural Science Foundation of China(62362037)Fundamental Research Funds for the Central Universities(30919011401,30920010001)+3 种基金Natural Science Foundation of Jiangxi Province(20224ACB202011)Jiangsu Province Key Research and Development Project(BE2023817)Hong Kong Research Grant Council(15217721,15125724,C7074-21GF)Hong Kong Polytechnic University(P0045680,P0043485,P0045762,P0049101)。
文摘Imaging through scattering media faces a critical challenge:deep-learning-based methods inherently suppress high-frequency speckle information,limiting the recovery of fine textures and edges.To overcome this spectral bias,we introduce the concept of the relative speckle frequency domain(RsFD),which redefines high-frequency features as learnable,adaptive components via frequency-domain decomposition.We demonstrate that independently processing generalized high-frequency speckle components enables neural networks to capture latent target details previously obscured in conventional approaches.Leveraging this principle,we design FDUnet,a dualbranch network comprising a low-frequency sub-network(Lnet)for global structure reconstruction and a relative high-frequency sub-network(RHnet)dedicated to enhancing textures and edges.Experiments confirm FDUnet's superiority:it outperforms state-of-the-art methods in both visual fidelity and quantitative metrics by +5.9% to 8.7% in SSIM and+5.4 to 7.9 dB in PSNR across diverse datasets(MNIST,Fashion-MNIST,FERET).These enhancements translate into notable improvements in the preservation of textures and edges,especially exhibiting exceptional robustness to multimode fiber perturbations.This work bridges the gap between physical priors and neural network learning,unlocking new potentials for high-fidelity applications,such as biomedical endoscopic imaging,in dynamic scattering environments.
基金Japan Society for the Promotion of Science(JP20H05890,JP22H05197,JP23H05444,JP23K26567)。
文摘We propose a design method for a diffractive neural network(DNN)for imaging through scattering media,offering robustness against the spatial coherence of illumination,scattering strength,and scattering dynamics.Most techniques for imaging through scattering media are time-consuming and/or tailored to specific optical conditions.The DNN,composed of layers of diffractive optical elements(DOEs),optically reproduces the intensity distributions of objects behind scattering media without any computational processing.Datasets with randomized optical parameters are provided during the training process to achieve this robustness.We demonstrate the proposed method through numerical calculations and show its promising capability for DOE design.Our study paves the way for unifying and generalizing techniques for imaging through scattering media,which are currently fragmented by specific scenarios,enabling highly flexible imaging independent of optical conditions.
基金National Natural Science Foundation of China(62275188)Central Guidance on Local Science and Technology Development Fund(YDZJSX2024D019)。
文摘Non-invasive measurement of the transmission matrix(TM)enables light focusing through scattering media using linear fluorescence signals.However,its speed is limited by the frame rate of the array detector.Although photodetectors can achieve fast light focusing,they can only detect single-point signals and are ineffective in scenarios that require speckle information,such as non-invasive focusing.
基金This work was supported by the National Natural Science Foundation of China(NSFC)(No.62075106)Tianjin Natural Science Foundation(No.19JCZDJC36600)Tianjin Key R&D Program(No.19YFZCSY00250).
文摘Light field imaging has shown significance in research fields for its high-temporal-resolution 3D imaging ability.However,in scenes of light field imaging through scattering,such as biological imaging in vivo and imaging in fog,the quality of 3D reconstruction will be severely reduced due to the scattering of the light field information.In this paper,we propose a deep learning-based method of scattering removal of light field imaging.In this method,a neural network,trained by simulation samples that are generated by light field imaging forward models with and without scattering,is utilized to remove the effect of scattering on light fields captured experimentally.With the deblurred light field and the scattering-free forward model,3D reconstruction with high resolution and high contrast can be realized.We demonstrate the proposed method by using it to realize high-quality 3D reconstruction through a single scattering layer experimentally.
