Low Photon Flux Research Articles

Architectural and Physiological Features to Gain High Yield in an Elite Rice Line YLY1

Identification of traits strongly associated with high yield can help future gene engineering towards improvements of productivity. Here we systematically determine the major architectural and physiological features associated with high yield in two elite historical hybrid rice cultivars, i.e., YLY1 and LYP9. Data from a six-year experiment show that high yield of YLY1 are related to a number of architectural and physiological parameters. Compared to LYP9, YLY1 had 5.5% and 47.3% higher canopy photosynthesis under high and low photosynthetic photon flux densities, respectively, during the grain filling stage, an average 1.5% higher proportion of biomass allocation to above-ground tissues, a 4.5%–10.5% higher photosynthate reserve in leaf sheath before grain filling, and a more efficient photosynthate translocation during grain filling and finally an average 25.2% higher number of productive tillers. These features differ dramatically from features associated with high yield in YLY900 and Yongyou12#, two other high-yielding rice cultivars in China. These identified features and their combinations can support designing new strategies in the future high-yield rice breeding.

Calibration method and photon flux influences tiled flat-panel photon counting detector image uniformity in computed tomography

The aim of this study is to compare how different calibration methods influence the image quality of photon-counting detector computed tomography (PCD-CT) at high and low photon fluxes. We investigate the performance of flat-field correction, signal-to-equivalent thickness calibration (STC), and polynomial correction (PC) methods using polymethyl methacrylate (PMMA) and iron as calibration materials. Two different cylindrical imaging phantoms containing contrast targets were scanned: an agar phantom and a phantom consisting of titanium hip implant embedded in agar. The scans were acquired using 120 kVp, and the energy thresholds of the PCD were set at 10 keV and 60 keV to obtain low energy (10–60 keV), high energy (60–120 keV) and total energy images (10–120 keV). Additionally, virtual monochromatic images (VMIs) with energies between 60–180 keV with 20 keV increments were generated from PC data. The reconstructions were made using filtered back projection, and image quality was assessed by evaluating image noise, contrast-to-noise ratio (CNR), and image uniformity. Overall, STC with PMMA as calibration material yielded the best image quality in terms of CNR and uniformity. Flat-field correction produced uniform reconstruction at low photon flux, but the performance degraded substantially at high flux. STC with iron as calibration material did not improve the reconstructions of the titanium hip implant. The beam hardening effects arising from metal were reduced when the VMI energy was increased while the CNR evaluated from agar phantom decreased with increasing energy of the VMI. Over the methods investigated, STC with PMMA was the most optimal calibration method for PCD-CT, yielding excellent image uniformity with both photon flux conditions.

Defining Intermediates of Nitrogenase MoFe Protein during N2 Reduction under Photochemical Electron Delivery from CdS Quantum Dots.

Coupling the nitrogenase MoFe protein to light-harvesting semiconductor nanomaterials replaces the natural electron transfer complex of Fe protein and ATP and provides low-potential photoexcited electrons for photocatalytic N2 reduction. A central question is how direct photochemical electron delivery from nanocrystals to MoFe protein is able to support the multielectron ammonia production reaction. In this study, low photon flux conditions were used to identify the initial reaction intermediates of CdS quantum dot (QD):MoFe protein nitrogenase complexes under photochemical activation using EPR. Illumination of CdS QD:MoFe protein complexes led to redox changes in the MoFe protein active site FeMo-co observed as the gradual decline in the E0 resting state intensity that was accompanied by an increase in the intensity of a new "geff = 4.5" EPR signal. The magnetic properties of the geff = 4.5 signal support assignment as a reduced S = 3/2 state, and reaction modeling was used to define it as a two-electron-reduced "E2" intermediate. Use of a MoFe protein variant, β-188Cys, which poises the P cluster in the oxidized P+ state, demonstrated that the P cluster can function as a site of photoexcited electron delivery from CdS to MoFe protein. Overall, the results establish the initial steps for how photoexcited CdS delivers electrons into the MoFe protein during reduction of N2 to ammonia and the role of electron flux in the photochemical reaction cycle.

Identification of light sources using machine learning

The identification of light sources represents a task of utmost importance for the development of multiple photonic technologies. Over the last decades, the identification of light sources as diverse as sunlight, laser radiation, and molecule fluorescence has relied on the collection of photon statistics or the implementation of quantum state tomography. In general, this task requires an extensive number of measurements to unveil the characteristic statistical fluctuations and correlation properties of light, particularly in the low-photon flux regime. In this article, we exploit the self-learning features of artificial neural networks and the naive Bayes classifier to dramatically reduce the number of measurements required to discriminate thermal light from coherent light at the single-photon level. We demonstrate robust light identification with tens of measurements at mean photon numbers below one. In terms of accuracy and number of measurements, the methods described here dramatically outperform conventional schemes for characterization of light sources. Our work has important implications for multiple photonic technologies such as light detection and ranging, and microscopy.

Learning to synthesize: robust phase retrieval at low photon counts

The quality of inverse problem solutions obtained through deep learning is limited by the nature of the priors learned from examples presented during the training phase. Particularly in the case of quantitative phase retrieval, spatial frequencies that are underrepresented in the training database, most often at the high band, tend to be suppressed in the reconstruction. Ad hoc solutions have been proposed, such as pre-amplifying the high spatial frequencies in the examples; however, while that strategy improves the resolution, it also leads to high-frequency artefacts, as well as low-frequency distortions in the reconstructions. Here, we present a new approach that learns separately how to handle the two frequency bands, low and high, and learns how to synthesize these two bands into full-band reconstructions. We show that this “learning to synthesize” (LS) method yields phase reconstructions of high spatial resolution and without artefacts and that it is resilient to high-noise conditions, e.g., in the case of very low photon flux. In addition to the problem of quantitative phase retrieval, the LS method is applicable, in principle, to any inverse problem where the forward operator treats different frequency bands unevenly, i.e., is ill-posed.

E-Z isomerization of 3-benzylidene-indolin-2-ones using a microfluidic photo-reactor.

Here, we report controlled E–Z isomeric motion of the functionalized 3-benzylidene-indolin-2-ones under various solvents, temperature, light sources, and most importantly effective enhancement of light irradiance in microfluidic photoreactor conditions. Stabilization of the E–Z isomeric motion is failed in batch process, which might be due to the exponential decay of light intensity, variable irradiation, low mixing, low heat exchange, low photon flux etc. This photo-μ-flow light driven motion is further extended to the establishment of a photostationary state under solar light irradiation.

Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS).

A technology for imaging extremely low photon flux is an unmet need, especially in targeted alpha therapy (TAT) imaging, which requires significantly improved sensitivity to detect as many photons as possible while retaining a reasonable spatial resolution. In scintigraphy using gamma cameras, the radionuclide collimator rejects a large number of photons that are both primary photons and scattered photons, unsuitable for photon-starved imaging scenarios like imaging TAT. In this paper we develop a min-min weighted robust least squares (WRLS) algorithm to solve a general reconstruction problem with uncertainties and validate it with the extreme scenario: collimatorless scintigraphy. Ra-223, a therapeutic alpha emitting radionuclide whose decay chain includes x-ray and gamma-ray photons, is selected for an exploratory study. Full Monte Carlo simulations are performed using Geant4 to obtain realistic projection data with collimatorless scintigraphy geometry. The results show that our proposed min-min WRLS algorithm could successfully reconstruct point sources and extended sources in the collimatorless scintigraphy with a resolution close to its system resolution and figures of merit (FOM) better than the collimator-based scintigraphy for extremely low activity TAT. This approach could be expanded as a 3D algorithm, which could lead to 3D collimatorless SPECT.

Extreme ultraviolet time- and angle-resolved photoemission setup with 21.5 meV resolution using high-order harmonic generation from a turn-key Yb:KGW amplifier.

Characterizing and controlling electronic properties of quantum materials require direct measurements of nonequilibrium electronic band structures over large regions of momentum space. Here, we demonstrate an experimental apparatus for time- and angle-resolved photoemission spectroscopy using high-order harmonic probe pulses generated by a robust, moderately high power (20 W) Yb:KGW amplifier with a tunable repetition rate between 50 and 150 kHz. By driving high-order harmonic generation (HHG) with the second harmonic of the fundamental 1025 nm laser pulses, we show that single-harmonic probe pulses at 21.8 eV photon energy can be effectively isolated without the use of a monochromator. The on-target photon flux can reach 5 × 1010 photons/s at 50 kHz, and the time resolution is measured to be 320 fs. The relatively long pulse duration of the Yb-driven HHG source allows us to reach an excellent energy resolution of 21.5 meV, which is achieved by suppressing the space-charge broadening using a low photon flux of 1.5 × 108 photons/s at a higher repetition rate of 150 kHz. The capabilities of the setup are demonstrated through measurements in the topological semimetal ZrSiS and the topological insulator Sb2-xGdxTe3.

TrLRET microscopy: Ultrasensitive imaging of lanthanide luminophores.

In principle, the long emission lifetimes of lanthanide chelates should enable their ultrasensitive detection in biological systems by time-resolved optical microscopy. However, most lanthanide-imaging systems cannot achieve sensitivities that exceed those of conventional fluorescence microscopes, since they are limited by inefficient lanthanide excitation, the low photon flux of excited lanthanide luminophores, and optics-derived background photoluminescence. We recently reported a new lanthanide-imaging modality, trans-reflected illumination with luminescence resonance energy transfer (trLRET), which overcomes each of these constraints. Here we provide a detailed procedure for visualizing endogenous protein expression in zebrafish embryos, using lanthanide-labeled antibodies, Q-switched laser illumination, and trLRET microscopy. These methods allow ultrasensitive molecular imaging in cells and organisms, establishing a new paradigm for biological exploration and discovery.

Infrared light photobiostimulation mediates periodicity in Dirofilaria immitis microfilariae.

Microfilariae (Mfs) of filarial nematode parasites exhibit nocturnal periodicity, with their numbers in peripheral blood peaking at night and decreasing during the day. However, the reason for their appearance at night remains unknown. In this study, in vitro photobiostimulation experiments showed that Mfs exhibited positive phototaxis toward infrared light with lower photon flux densities of infrared light at wavelengths of 890 and 700 nm, in particular, mediating paradoxically higher velocity than intense ones. Microarray analysis revealed that infrared light stimulation influenced gene expression in Mfs and induced significant upregulation of genes, with phosphorylation- and neurogenesis-related genes being highly enriched. Weaker natural infrared beams from the atmosphere only at midnight may induce microfilaria periodicity, and the nature of the periodic pattern is innate and plastic, as demonstrated by artificially changing the light-dark cycle. This is the first report of positive phototaxis toward infrared light in Dirofilaria immitis Mfs. The notable finding is that they moved in union despite the lack of a fluid current inside the container, indicating that infrared light appears to control nocturnal periodicity in D. immitis Mfs. The newly developed culture medium and the adoption of charge-coupled device (CCD) camera and time-lapse VHS videocassette recorder used in this study made possible to be a long observation.

A THz streak camera based on a highly efficient velocity map imaging spectrometer in collinear geometry

In this paper we report on a velocity map imaging spectrometer with the implementation of an on-axis geometry where the electrons travel parallel to the ionizing beam towards the detector. Owing to a usually low photon flux from table-top soft x-ray sources, the instrument is optimized for high detector efficiency and high target density. The collinear design offers the possibility to freely choose the state and orientation of the polarization of light fields in streaking experiments. First results of an experiment using THz pulses for streaking using a Xe gas target are presented and compared to the simulated performance of the spectrometer.

Quantum differential ghost microscopy

Quantum correlations become formidable tools for beating classical capacities of measurement. Preserving these advantages in practical systems, where experimental imperfections are unavoidable, is a challenge of the utmost importance. Here we propose and realize a quantum ghost imaging protocol stemming from the differential ghost imaging, a scheme elaborated so far in the limit of bright thermal light, particularly suitable in the relevant case of faint or sparse objects. The extension toward the quantum regime represents an important step as quantum correlations allow low-brightness imaging, desirable for reducing the absorption dose. Furthermore, we optimize the protocol in terms of signal-to-noise ratio, to compensate for the detrimental effects of detection noise and losses. We perform the experiment using spontaneous parametric down conversion light in a microscope configuration. The image is reconstructed exploiting nonclassical intensity correlation in the low photon flux regime, rather than photon pairs detection coincidences. On the one side, we validate the theoretical model and on the other we show the applicability of this technique by imaging biological samples.

Photon-in/photon-out endstation for studies of energy materials at beamline 02B02 of Shanghai Synchrotron Radiation Facility*Project supported by the National Natural Science Foundation of China (Grant No. 11227902) as part of NSFC ME2 beamline project, Science and Technology Commission of Shanghai Municipality, China (Grant No. 14520722100), and the National Natural Science Foundation of China (Grant Nos. 11905283 and U1632269).

A new photon-in/photon-out endstation at beamline 02B02 of the Shanghai Synchrotron Radiation Facility for studying the electronic structure of energy materials has been constructed and fully opened to users. The endstation has the capability to perform soft x-ray absorption spectroscopy in total electron yield and total fluorescence yield modes simultaneously. The photon energy ranges from 40 eV to 2000 eV covering the K-edge of most low Z-elements and the L-edge of 3d transition-metals. The new self-designed channeltron detector allows us to achieve good fluorescence signals at the low photon flux. In addition, we synchronously collect the signals of a standard reference sample and a gold mesh on the upstream to calibrate the photon energy and monitor the beam fluctuation, respectively. In order to cross the pressure gap, in situ gas and liquid cells for soft x-ray absorption spectroscopy are developed to study the samples under realistic working conditions.

Pre-Harvest UV-B Radiation and Photosynthetic Photon Flux Density Interactively Affect Plant Photosynthesis, Growth, and Secondary Metabolites Accumulation in Basil (Ocimum basilicum) Plants

Phenolic compounds in basil (Ocimum basilicum) plants grown under a controlled environment are reduced due to the absence of ultraviolet (UV) radiation and low photosynthetic photon flux density (PPFD). To characterize the optimal UV-B radiation dose and PPFD for enhancing the synthesis of phenolic compounds in basil plants without yield reduction, green and purple basil plants grown at two PPFDs, 160 and 224 μmol·m−2·s−1, were treated with five UV-B radiation doses including control, 1 h·d−1 for 2 days, 2 h·d−1 for 2 days, 1 h·d−1 for 5 days, and 2 h·d−1 for 5 days. Supplemental UV-B radiation suppressed plant growth and resulted in reduced plant yield, while high PPFD increased plant yield. Shoot fresh weight in green and purple basil plants was 12%–51% and 6%–44% lower, respectively, after UV-B treatments compared to control. Concentrations of anthocyanin, phenolics, and flavonoids in green basil leaves increased under all UV-B treatments by 9%–18%, 28%–126%, and 80%–169%, respectively, and the increase was greater under low PPFD compared to high PPFD. In purple basil plants, concentrations of phenolics and flavonoids increased after 2 h·d−1 UV-B treatments. Among all treatments, 1 h·d−1 for 2 days UV-B radiation under PPFD of 224 μmol·m−2·s−1 was the optimal condition for green basil production under a controlled environment.

A photomultiplier tube test stand and on-site measurements to characterise the performance of Photonis XP3062 photomultiplier tubes at increased background light conditions and lower gain

Photomultiplier tubes (PMTs) are widely used in astroparticle physics experiments to detect light flashes (e.g. fluorescence or Cherenkov light) from extensive air showers (EASs) initiated by statistically rare very high energy cosmic particles when travelling through the atmosphere. Their high amplification factor (gain) allows the detection of very low photon fluxes down to single photons. At the same time this sensitivity causes the gain and signal-to-noise ratio to decrease with collected charge over the lifetime of the PMT (referred to as "ageing"). To avoid fast ageing, many experiments limit the PMT operation to reasonably low night sky background (NSB) conditions. However, in order to collect more event statistics at the highest energies, it is desirable to extend the measurement cycle into (part of) nights with higher NSB levels. In case the signal-to-noise ratio remains large enough in the subsequent reconstruction of the EAS events, lowering the PMT gain in such conditions can be an option to avoid faster ageing. In this paper, performance studies under high NSB with Photonis XP3062 PMTs, as used in the fluorescence detector of the Pierre Auger Observatory, are presented. The results suggest that lowering the PMT gain by a factor of 10 while increasing the NSB level by a similar factor does not significantly affect the PMT performance and ageing behaviour so that detection and offline reconstruction of EASs are still possible. Adjusting the PMT gain according to a changing NSB level throughout a night has been shown to be possible and it follows a predictable behaviour. This allows to extend the measurement cycles of experiments, based on PMTs of type Photonis XP3062 or comparable and exposed to the NSB, to enhance the sensitivity especially at the highest energies where events are very rare.

Plasmon-Driven Reaction Mechanisms: Hot Electron Transfer versus Plasmon-Pumped Adsorbate Excitation

Photochemistry that can be driven at low incident photon flux on optically excited plasmonic nanoparticles is attracting increasing research interest because of the fundamental need to combine surface reaction and in situ spectroscopy as well as the opportunity that plasmon-driven reactions may offer a pathway for efficient conversion of solar energy into fuel. In mechanistic studies of plasmon-driven reactions to date, a great deal of emphasis is given to hot electron transfer. The results summarized in this Feature Article indicate that photochemistry on plasmonic nanoparticles can be induced by hot electron transfer from the nanoparticle to an unoccupied orbital of the adsorbate and/or by plasmon-pumped electron transition from an occupied molecular orbital to an unoccupied molecular orbital of the adsorbate. The branching photochemical reaction of para-aminothiophenol on the plasmonic gold surface depending on the presence of a cetyltrimethylammonium bromide surface ligand that influences the hot elec...

Quantum imaging with sub-Poissonian light: challenges and perspectives in optical metrology

Non-classical correlations in optical beams offer an unprecedented opportunity for surpassing the conventional limits of sensitivity and resolution in optical measurements and imaging, especially, but not only, when low photon flux, down to the single photon, is measured. We review the principles of quantum imaging and sensing techniques that exploit sub-Poissonian photon statistics and non-classical photon number correlation, presenting some state-of-the-art achievements in the field. These quantum photonics protocols have the potential to trigger major steps in many applications, such as microscopy and biophotonics, and represent an important opportunity for a new deal in radiometry and photometry.

Quantum efficiency and spatial noise tradeoffs for III–V focal plane arrays

Recent advances in quantum well detector materials such as SLS, QWIP, and QDIP photodetectors have made the performance of those technologies competitive with traditional MCT and InSb detectors while offering the potential of lower unit costs. Some III–V focal plane arrays operating in the MWIR spectral region have already achieved similar quantum efficiency performance as MCT and InSb devices, and are therefore, highly competitive for those applications. In the LWIR spectral region, quantum efficiency performance for III–V FPAs still lags MCT devices by a significant margin, but recent improvements have begun to close this gap. In addition, the improved spatial noise and operability typically associated with III–V devices can mitigate some of the shortfall in quantum efficiency when assessing overall system level performance. This paper will seek to quantify this tradeoff based on the most recent reported results for both III–V and MCT devices in order to help focus future research.This paper will first seek to quantify the current state of MCT and III–V (primarily SLS) FPAs in both MWIR and LWIR using a detailed literature survey to assess recent results, particularly in terms of reported quantum efficiency and spatial noise (quantified as residual fixed pattern noise). This data is then used to bound system-level performance modeling using the US Army’s Night Vision Integrated Performance Model (NV-IPM), which calculates image contrast and spatial frequency content using data from the target/background, intervening atmosphere, and system components. The modeling analyzes various tradeoffs in quantum efficiency and spatial noise under relevant operating conditions, including scenarios with both high and low target photon fluxes, and using realistic constraints for integration time (based on both frame rate and ROIC parameters). The results of this analysis are then compared to the current state of the art performance for both III–V and MCT FPAs to determine relative performance between the material systems and to recommend areas of improvement for each. This will provide insights to the FPA development community regarding the most pressing needs for improvements to each material system.

Resilience in the functional responses of Axonopus affinis Chase (Poaceae) to diurnal light variation in an overgrazed grassland

Overgrazed grasslands of Southern Brazil are responsible in part for the degradation, low productivity and loss of biodiversity of the grassland ecosystems submitted to such management. Axonopus affinis Chase, the carpet grass, is a dominant creeping grass species in overgrazed grasslands. The species readily spreads, is highly tolerant of frequent defoliation and to trampling. In any natural environment, different light intensity regimes vary considerably along the day. Such phenomenon requires a high level of plasticity, resistance, and resilience from plants. Within this context, the aim of this study was to describe the mechanisms of photochemical activity in Axonopus affinis (Poaceae) in response to natural variations in daylight. Here we report hysteresis related functional behavior in overgrazed grasslands. This study was conducted in grassland vegetation within an experimental overgrazed area from the Embrapa Pecuária Sul, Bagé/Rio Grande do Sul, Brazil (austral spring 2014). By means of preferential sampling, homogeneous areas with a 90% dominance of Axonopus affinis Chase were selected. In the present study 60 sample units were analyzed (young leaves, non-damaged and fully expanded). Photochemical variables and OJIP curves were sampled in two distinct conditions along one day, under light intensities labeled as: 1 – high photosynthetic photon flux density (HI), when under full sunlight; and 2 - low photosynthetic photon flux density (LI), when under cloudy days. It was possible to quantify and identify the alternative stable states of A. affinis in response to light resource availability, expanding the interpretation of the multivariate analysis (triangular trajectory) and therefore, contributing to univariate metrics (bimodal trajectory). In this study, HI produced hysteretic behavior while LI of dynamic photoinhibition in A. affinis. The ΔF/Fm′ variable was the most important mechanism to explain the plasticity of A. affinis in HI and LI (R2 > 0.98 in function of the PCoA coordinates). However, the non-photochemical quenching activity was responsible for the stability in the OJIP curve. Therefore, A. affinis presented photochemical mechanisms that contribute to the occupation and dominance of overgrazed grasslands with different light regimes.

Few-photon computed x-ray imaging

X-rays are a ubiquitous imaging modality in clinical diagnostics and industrial inspections, thanks to their high penetration power. Conventional transmission-based x-ray radiography or computed tomography systems collect approximately 103–104 counts per pixel to ensure sufficient signal to noise ratio. The recent development of energy sensitive photon counting detectors has made x-ray imaging at low photon fluxes possible. In this paper, we report a photon-counting scheme that records the time stamp of individual photons, which follows a negative binomial distribution, and demonstrate the reconstruction based on the few-photon statistics. The x-ray projection and tomography reconstruction from measurements of ∼16 photons per beam show potential for using photon counting detectors for dose-efficient x-ray imaging applications.