Single-photon Tomography Research Articles

Single-photon 3D imaging of room-scale scenes through scattering media

Light detection and ranging (LiDAR) utilizes eye-safe laser beams to perceive the world in three-dimensional (3D) detail, offering machines and computers with an accurate representation of their surroundings. This technology is widely employed in metrology, environmental monitoring, archaeology, and robotics. However, the presence of scattering media in the optical path, such as fog, dust, or translucent plates, will cause light scattering and occlude direct observation of the scene. To address scattering distortions, conventional methods require the prior knowledge of the scattering media or the target location, limiting their applicability outside the laboratory. Leveraging single-photon sensitivity and time-gated technology, single photon LiDAR emerges as a promising solution for active scattering imaging. In this study, we construct a single-photon LiDAR prototype and demonstrate its capability to perform 3D imaging of a room-scale (1.1 m × 1.1 m × 4 m) hidden scene behind a ground glass diffuser located approximately 50 meters away from the imaging system. Incorporating phase function to construct the forward model and considering the system-induced temporal broadening, our method is capable of producing reliable results behind various scattering layers. The results indicate potential applications such as remote non-invasive testing and detection in challenging scenarios.

Integration of single-photon miniature fluorescence microscopy and electrophysiological recording methods for <i>in vivo</i> studying hippocampal neuronal activity

The miniature single-photon fluorescent microscope (miniscope) enables the visualization of calcium activity in vivo in freely moving laboratory animals, providing the capability to track cellular activity during the investigation of memory formation, learning, sleep, and social interactions. However, the use of calcium sensors for in vivo imaging is limited by their relatively slow (millisecond-scale) kinetics, which complicates the recording of high-frequency spike activity. The integration of methods from single-photon miniature fluorescent microscopy with electrophysiological recording, which possesses microsecond resolution, represents a potential solution to this issue. Such a combination of techniques allows for the simultaneous recording of optical and electrophysiological activity in a single animal in vivo. In this study, a flexible polyimide microelectrode was developed and integrated with the gradient lens of the miniscope. The in vivo tests conducted in this research confirmed that the microelectrode combined with the gradient lens facilitates simultaneous single-photon calcium imaging and local field potential recording in the hippocampus of an adult mouse.

Activating Two-Photon Silica Nanoamplifier-Based CHA and FRET for Accurate Ratiometric Bioimaging of Intracellular MicroRNA.

In situ visualization of microRNA (miRNA) in cancer cells and diseased tissues is essential for advancing our comprehension of the onset and progression of associated diseases. Two-photon (TP) imaging, as an imaging technology with high spatiotemporal resolution, deep tissue penetration, and accurate target quantification, has distinctive advantages over single-photon imaging and has attracted increasing attention. Extensive research has been conducted on two-photon dye-doped silica nanoparticles, which exhibit a large two-photon absorption (TPA) cross-section, high fluorescence quantum yield, and excellent biocompatibility. However, the low abundance of RNA in tumor cells leads to insufficient signal output. Based on functional nucleic acid, a catalyzed hairpin self-assembly (CHA) signal amplification strategy, which has simplicity, robustness, and nonenzymatic characteristics, can achieve the amplification of DNA or RNA signals. Here, a two-photon silica nanoamplifier (TP-SNA) utilizing TP dye-doped silica nanoparticles (SiNPs) and functional nucleic acid was constructed, employing triggering catalyzed hairpin self-assembly and fluorescence resonance energy transfer (FRET) for highly sensitive detection and precise TP imaging of endogenous miRNAs in tumor cells and tissues at varying depths. The TP-SNA demonstrated the capability to detect miR-203 with a detection limit of 33 pM. The maximum two-photon tissue penetration depth of the two-photon nanoamplifier was 210 μm. The two-photon nanoamplifier developed in this study makes full use of the advantages of accurate TP ratiometric bioimaging and the CHA signal amplification strategy, which shows good application value for future transformation into clinical diagnosis.

Sub-diffraction-limited single-photon 3D imaging based on domain features extraction network at kilometer-scale distance

Single-photon imaging holds extensive application value, yet its imaging quality is often constrained by low signal-to-background ratios (SBRs). In this paper, we designed a network based on the statistical priors of photons, corresponding to the Gaussian statistical prior along the photon time axis, the Poisson statistical prior of photon counts, the varying receptive field requirements for different SBRs, and the deconvolution for solving the photon point spread function (PSF). We designed multiple modules to handle different photon statistical priors and introduced Selective Kernel Network (SKNet) as the feature extraction unit. This enables our method to accurately restore the true spatial distribution of photons. Compared to other methods, we place greater emphasis on the impact of neighborhood characteristics on photons and feature extraction under low SBR. In addition, we designed FoV Module to do deconvolution for PSF at sub-pixel scanning scenarios for sub-diffraction imaging. Experimental results demonstrate our methods, in particularly, achieved the best implementation results to date at low SBR data, which can achieve denoising while preserving more detail features and our methods also achieved twofold sub-diffraction imaging at a distance of 1.5 km using collected real-world data, thereby showing its immense potential to improve the performance of single-photon imaging systems for kilometer-scale imaging.

Radiation tolerance of a single-photon counting complementary metal-oxide semiconductor image sensor

Radiation tolerance of a single-photon counting complementary metal-oxide semiconductor image sensor

Physics-Informed Masked Autoencoder for active sparse imaging

Imaging technology based on detecting individual photons has seen tremendous progress in recent years, with broad applications in autonomous driving, biomedical imaging, astronomical observation, and more. Comparing with conventional methods, however, it takes much longer time and relies on sparse and noisy photon-counting data to form an image. Here we introduce Physics-Informed Masked Autoencoder (PI-MAE) as a fast and efficient approach for data acquisition and image reconstruction through hardware implementation of the MAE (Masked Autoencoder). We examine its performance on a single-photon LiDAR system when trained on digitally masked MNIST data. Our results show that, with 1.8×10-6\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$1.8\ imes 10^{-6}$$\\end{document} or less detected photons per pulse and down to 9 detected photons per pixel, it achieves high-quality image reconstruction on unseen object classes with 90% physical masking. Our results highlight PI-MAE as a viable hardware accelerator for significantly improving the performance of single-photon imaging systems in photon-starving applications.

Bessel-Beam Single-Photon High-Resolution Imaging in Time and Space

Synchronous laser beam scanning is a common technique used in single-photon imaging where the spatial resolution is primarily determined by the beam divergence angle. In this context, Bessel beams have been investigated as they can overcome the diffraction limit associated with traditional Gaussian beams. Notably, the central spot of a Bessel beam retains its size almost unchanged within a non-diffractive distance. However, the presence of sidelobes in the Bessel beam can negatively impact spatial resolution. To address this challenge, we have developed a single-photon imaging system with high-depth resolution, which allows for the suppression of echo photons from the sidelobe light in the depth image, particularly when their flight time differs from that of the central spot. In our LiDAR setup, we successfully achieved high-resolution scanning imaging with a spatial resolution of approximately 0.5 mm while also demonstrating a high-depth resolution of 12 mm.

Fourier analysis in single photon imaging

Single photon imaging has become an established sensing approach. Compared to intensity imaging, versatile advantages have been demonstrated, such as imaging with high sensitivity, at a high frame rate, and with a high dynamic range. In this paper, we investigate the Fourier analysis of single photon counting at a frame rate of approximately 100 kHz and a high spatial resolution of 512 px × 512 px. We observed signal modulation in raw data as well as in data converted to photon flux, but with the data processing, the signal’s frequency response is affected by significant damping. Thus, analysis sensible to signal frequency should work on the raw single photon counting signal. Furthermore, imaging of magnitude and phase in the Fourier domain can visualize areas of certain signal modulation, and the gradient of the phase angle can reveal the direction of movements. Finally, we have applied our method to real world scenarios by analyzing unmanned aerial vehicle’s motion in outdoor experiments.

A Simulation Method for Underwater SPAD Depth Imaging Datasets.

In recent years, underwater imaging and vision technologies have received widespread attention, and the removal of the backward-scattering interference caused by impurities in the water has become a long-term research focus for scholars. With the advent of new single-photon imaging devices, single-photon avalanche diode (SPAD) devices, with high sensitivity and a high depth resolution, have become cutting-edge research tools in the field of underwater imaging. However, the high production costs and small array areas of SPAD devices make it very difficult to conduct underwater SPAD imaging experiments. To address this issue, we propose a fast and effective underwater SPAD data simulation method and develop a denoising network for the removal of backward-scattering interference in underwater SPAD images based on deep learning and simulated data. The experimental results show that the distribution difference between the simulated and real underwater SPAD data is very small. Moreover, the algorithm based on deep learning and simulated data for the removal of backward-scattering interference in underwater SPAD images demonstrates effectiveness in terms of both metrics and human observation. The model yields improvements in metrics such as the PSNR, SSIM, and entropy of 5.59 dB, 9.03%, and 0.84, respectively, demonstrating its superior performance.

Neuropathologic Validation and Diagnostic Accuracy of Presynaptic Dopaminergic Imaging in the Diagnosis of Parkinsonism.

Degeneration of the presynaptic nigrostriatal dopaminergic system is one of the main biological features of Parkinson disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD), which can be measured using single-photon emission CT imaging for diagnostic purposes. Despite its widespread use in clinical practice and research, the diagnostic properties of presynaptic nigrostriatal dopaminergic (DAT) imaging in parkinsonism have never been evaluated against the diagnostic gold standard of neuropathology. The aim of this study was to evaluate the diagnostic parameters of DAT imaging compared with pathologic diagnosis in patients with parkinsonism. Retrospective cohort study of patients with DAT imaging for the investigation of a clinically uncertain parkinsonism with brain donation between 2010 and 2021 to the Queen Square Brain Bank (London). Patients with DAT imaging for investigation of pure ataxia or dementia syndromes without parkinsonism were excluded. Those with a pathologic diagnosis of PD, MSA, PSP, or CBD were considered presynaptic dopaminergic parkinsonism, and other pathologies were considered postsynaptic for the analysis. DAT imaging was performed in routine clinical practice and visually classified by hospital nuclear medicine specialists as normal or abnormal. The results were correlated with neuropathologic diagnosis to calculate diagnostic accuracy parameters for the diagnosis of presynaptic dopaminergic parkinsonism. All of 47 patients with PD, 41 of 42 with MSA, 68 of 73 with PSP, and 6 of 10 with CBD (sensitivity 100%, 97.6%, 93.2%, and 60%, respectively) had abnormal presynaptic dopaminergic imaging. Eight of 17 patients with presumed postsynaptic parkinsonism had abnormal scans (specificity 52.9%). DAT imaging has very high sensitivity and negative predictive value for the diagnosis of presynaptic dopaminergic parkinsonism, particularly for PD. However, patients with CBD, and to a lesser extent PSP (of various phenotypes) and MSA (with predominant ataxia), can show normal DAT imaging. A range of other neurodegenerative disorders may have abnormal DAT scans with low specificity in the differential diagnosis of parkinsonism. DAT imaging is a useful diagnostic tool in the differential diagnosis of parkinsonism, although clinicians should be aware of its diagnostic properties and limitations. This study provides Class II evidence that DAT imaging does not accurately distinguish between presynaptic dopaminergic parkinsonism and non-presynaptic dopaminergic parkinsonism.

Review of Back-Side Illuminated 3-D-Stacked SPADs for Time-of-Flight and Single-Photon Imaging

Review of Back-Side Illuminated 3-D-Stacked SPADs for Time-of-Flight and Single-Photon Imaging

Single-photon lidar depth imaging based on sparsity adaptive matching pursuit method

Photon counting lidar has the ability to detect weak echo photons. However, in imaging applications, a small number of echo signals obtained in a very short acquisition time cannot get an accurate image estimation through the photon arrival time distribution histogram. Therefore, high-precision and fast imaging of an object using a small amount of weak echo photon signals is urgent to be solved. In this work, a sparse adaptive matching pursuit (SAMP) algorithm is proposed to process the echo photons without prior information to obtain the effective photon interval, which improves the reconstruction quality and imaging speed. By constructing a non-coaxial scanning imaging system to detect the face model, it has been experimentally proven that the proposed algorithm can achieve depth and reflectance image estimation under the condition of low power and low acquisition time of 4µs per pixel on average, and the mean absolute error (MAE) value is reduced by about 10 times compared to conventional reconstruction algorithm.

The status of nuclear medicine in China: the first official national survey.

The National Nuclear Medicine Quality Control Center of China conducted the first official survey to investigate the nationwide situation of nuclear medicine in 2020. The survey aimed to unveil the current nuclear medicine situation and its quality control in China. The web-based survey was conducted and the data was collected via the National Clinical Improvement System (NCIS) of China from 1st April to 31st May 2021. A total of 808 institutes across 30 provinces responded to the national survey. For human resources, there are 4460 physicians, 3077 technologists, 339 physicists, and 309 radiochemists. There are 887 single-photon imaging instruments, including 823 SPECT or SPECT/CT, and 365 PET instruments including 314 PET/CT. Six hundred twenty-four institutes perform SPECT examinations and 319 institutes perform PET examinations. 60% of SPECT scans are bone scintigraphy. A total of 97% of PET scans use an [18F]F-FDG tracer. Furthermore, 587 institutes provide radionuclide therapy services but only 280 institutes have admission rooms. The top three radionuclide therapies are [131I] therapy of hyperthyroidism with 546 institutes, [89Sr] therapy of bone metastasis with 400 institutes, and [131I] therapy of differentiated thyroid cancer with 286 institutes. Finally, for the frequency of equipment quality control per year, there are about 67 times self-test within the department for SPECT instruments and 111 times for PET instruments on average in each province. There are about three failures of SPECT and five failures of PET on average per year in each province. There are 408 institutes (of 624 SPECT institutes) performing quality control of SPECT radiopharmaceuticals, 216 (of 319) for PET radiopharmaceuticals, and 373 (of 587) for radionuclide therapy. These results of the first official survey towards current status of nuclear medicine in China are the foundation for the establishment of the quality control management system.

A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos

A wide-field microscope with epi-fluorescence and selective plane illumination was combined with a single-photon avalanche diode (SPAD) array camera to enable live-cell fluorescence lifetime imaging (FLIM) using time-correlated single-photon counting (TCSPC). The camera sensor comprised of 192×128\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ ext {192}\ imes \ ext {128}$$\\end{document} pixels, each integrating a single SPAD and a time-to-digital converter. Jointly, they produced a stream of single-photon images of photon arrival times with ≈38 ps\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\approx \ ext {38 ps}$$\\end{document} accuracy. The photon arrival times were subject to systematic delays and nonlinearities, which were corrected by a Monte-Carlo algorithm. The SPAD camera was then applied to FLIM where histogramming the resulting photon arrival times in each pixel resulted in decays compatible with common data processing pipelines for fluorescence lifetime analysis. The capabilities of the TCSPC camera-based FLIM microscope were demonstrated by imaging living unicellular photosynthetic algae and artificial lipid vesicles. Epi-fluorescence illumination enabled rapid fluorescence lifetime imaging of living cells and selective-plane illumination enabled 3-dimensional FLIM of stationary samples.

Nuclear isomers in medicine

Only a small handful of nuclear isomers plays an important role in modern medicine. However, one single isomer (Tc-99m) is in terms of quantitative use almost the foundation of the medical application of radioactive compounds. This single isomer has driven the development of modern nuclear medicine over half a century. It is used for diagnostic imaging every day and all over the world. The nuclear and atomic physics basis for this is explained. The main areas of nuclear medicine (diagnostic single photon imaging, diagnostic positron emitter imaging and therapeutic use) are explained, and the few important isomers used in each category are exposed. Although nuclear medicine is evolving rapidly and making important gains in the management of oncological, cardiological and neurological diseases, new radionuclides and new isomers are rarely introduced. The medical use is confined to a narrow set of radionuclides close to the line of stability, and here, of course, the nuclear properties in general and the characteristics of the isomeric states are well known, and possible medical usage has been considered repeatedly. The nuclear isomers will probably keep their role, but from basic physics point of view, just as useful but trivial example of applied nuclear physics.

A Fully Integrated Negative Output Voltage Charge Pump for Implantable Single Photon Imagers

A Fully Integrated Negative Output Voltage Charge Pump for Implantable Single Photon Imagers

Development of a near-infrared single-photon 3D imaging LiDAR based on 64×64 InGaAs/InP array detector and Risley-prism scanner.

A near-infrared single-photon lidar system, equipped with a 64×64 resolution array and a Risley prism scanner, has been engineered for daytime long-range and high-resolution 3D imaging. The system's detector, leveraging Geiger-mode InGaAs/InP avalanche photodiode technology, attains a single-photon detection efficiency of over 15% at the lidar's 1064 nm wavelength. This efficiency, in tandem with a narrow pulsed laser that boasts a single-pulse energy of 0.5 mJ, facilitates 3D imaging capabilities for distances reaching approximately 6 kilometers. The Risley scanner, composing two counter-rotating wedge prisms, is designed to perform scanning measurements across a 6-degree circular field-of-view. Precision calibration of the scanning angle and the beam's absolute direction was achieved using a precision dual-axis turntable and a collimator, culminating in 3D imaging with an exceptional scanning resolution of 28 arcseconds. Additionally, this work has developed a novel spatial domain local statistical filtering framework, specifically designed to separate daytime background noise photons from the signal photons, enhancing the system's imaging efficacy in varied lighting conditions. This paper showcases the advantages of array-based single-photon lidar image-side scanning technology in simultaneously achieving high resolution, a wide field-of-view, and extended detection range.

Time-multiplexing single-photon imaging lidar with single-pixel detector

A time-multiplexing technique is proposed and demonstrated for single-photon imaging lidar, utilizing a large-area single-pixel single-photon detector to simultaneously detect the multi-pixel echoes. In this time-division multiplexing lidar, the echo signals from different pixels of the fiber array are delayed through fibers of varying lengths, merged into a fiber bundle, and then sequentially detected by the large-area single-pixel detector. In the experimental demonstration, a two-detector system capable of imaging 122 pixels using single-photon imaging lidar was showcased in three-dimensional imaging. Furthermore, the spectral broadening caused by multimode fiber dispersion was analyzed. Imaging of four different targets at a distance of 80 m was experimentally validated. This time-multiplexing technique can greatly reduce the number of single-photon detectors required in imaging lidar systems, making it suitable for low-cost lidar applications.

A 64-pixel mid-infrared single-photon imager based on superconducting nanowire detectors.

A large-format mid-infrared single-photon imager with very low dark count rates would enable a broad range of applications in fields like astronomy and chemistry. Superconducting nanowire single-photon detectors (SNSPDs) are a mature photon-counting technology as demonstrated by their figures of merit such as high detection efficiencies and very low dark count rates. However, scaling SNSPDs to large array sizes for mid-infrared applications requires sophisticated readout architectures in addition to superconducting materials development. In this work, an SNSPD array design that combines a thermally coupled row-column multiplexing architecture with a thermally coupled time-of-flight transmission line was developed for mid-infrared applications. The design requires only six cables and can be scaled to larger array sizes. The demonstration of a 64-pixel array shows promising results for wavelengths between 3.4 μm and 10 μm, which will enable the use of this single-photon detector technology for a broad range of new applications.

PE-RASP: range image stitching of photon-efficient imaging through reconstruction, alignment, stitching integration network based on intensity image priors.

Single photon imaging integrates advanced single photon detection technology with Laser Radar (LiDAR) technology, offering heightened sensitivity and precise time measurement. This approach finds extensive applications in biological imaging, remote sensing, and non-visual field imaging. Nevertheless, current single photon LiDAR systems encounter challenges such as low spatial resolution and a limited field of view in their intensity and range images due to constraints in the imaging detector hardware. To overcome these challenges, this study introduces a novel deep learning image stitching algorithm tailored for single photon imaging. Leveraging the robust feature extraction capabilities of neural networks and the richer feature information present in intensity images, the algorithm stitches range images based on intensity image priors. This innovative approach significantly enhances the spatial resolution and imaging range of single photon LiDAR systems. Simulation and experimental results demonstrate the effectiveness of the proposed method in generating high-quality stitched single-photon intensity images, and the range images exhibit comparable high quality when stitched with prior information from the intensity images.