High-performance Imaging Research Articles

Low Power Intrusion Detection Using Multi-Level Sensor Authentication

Surveillance systems be connected with very less cost and less power IR and PIR sensors, which are more capable to find the false alarms and small inference. Wireless smart cameras become an appropriate solution for the upcoming challenges like the hardware capabilities in terms of low ­ power utilization and high imaging performance and high memory footprint all are very big tasks for the wireless smart cameras. For this reason, wireless surveillance systems still involve a significant aggregate of research in different areas such as mote architectures, video processing algorithms, power management, energy harvesting and distributed engine. Here we evolve a solution for this problem through multilevel sensing architecture. The proposed system to be find the energy interference in the first level. If any unwanted event, it will be occurring at the moment the additional authentication unit become initiate and activities. In this stage, PIR sensor that detects the traces of the event. If the PIR sensor detects the same, it authenticates the event and switches ON the wireless camera. This system has multiple advantages like reduced power consumption, improved event detection accuracy, longer life span and enhanced information clarity.

Cutting-Edge Imaging of Cardiac Metastases from Neuroendocrine Tumors: Lesson from a Case Series

With the increasing availability of high-performance medical imaging for the management of patients with neuroendocrine tumors (NETs), a progressive growth of asymptomatic and incidentally detected cardiac metastases (CMs) has been observed in the recent years. In clinical practice, CMs of NENs are often incidentally detected by whole-body 68Ga-labeled somatostatin analogs or 18F-fluorodihydroxyphenylalanine positron emission tomography/computed tomography, and afterwards accurately characterized by cardiac magnetic resonance (CMR) and/or gated cardiac computed tomography when CMR is contraindicated or not available. The interpreting physician should familiarize with the main imaging features of CM, a finding that may be encountered in NETs patients more than previously thought. Herein, we present a case series of four patients with CMs from small-intestine NETs highlighting strengths and weaknesses of a multimodality imaging approach in clinical practice.

Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field

A unique bifocal compound eye visual system found in the now extinct trilobite, Dalmanitina socialis, may enable them to be sensitive to the light-field information and simultaneously perceive both close and distant objects in the environment. Here, inspired by the optical structure of their eyes, we demonstrate a nanophotonic light-field camera incorporating a spin-multiplexed bifocal metalens array capable of capturing high-resolution light-field images over a record depth-of-field ranging from centimeter to kilometer scale, simultaneously enabling macro and telephoto modes in a snapshot imaging. By leveraging a multi-scale convolutional neural network-based reconstruction algorithm, optical aberrations induced by the metalens are eliminated, thereby significantly relaxing the design and performance limitations on metasurface optics. The elegant integration of nanophotonic technology with computational photography achieved here is expected to aid development of future high-performance imaging systems.

High Performance Image Super-Resolution Using Convolutional Neural Networks and Nonsubsampled Contourlet Transform

High Performance Image Super-Resolution Using Convolutional Neural Networks and Nonsubsampled Contourlet Transform

MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision

BackgroundProfiling the plant root architecture is vital for selecting resilient crops that can efficiently take up water and nutrients. The high-performance imaging tools available to study root-growth dynamics with the optimal resolution are costly and stationary. In addition, performing nondestructive high-throughput phenotyping to extract the structural and morphological features of roots remains challenging.ResultsWe developed the MultipleXLab: a modular, mobile, and cost-effective setup to tackle these limitations. The system can continuously monitor thousands of seeds from germination to root development based on a conventional camera attached to a motorized multiaxis-rotational stage and custom-built 3D-printed plate holder with integrated light-emitting diode lighting. We also developed an image segmentation model based on deep learning that allows the users to analyze the data automatically. We tested the MultipleXLab to monitor seed germination and root growth of Arabidopsis developmental, cell cycle, and auxin transport mutants non-invasively at high-throughput and showed that the system provides robust data and allows precise evaluation of germination index and hourly growth rate between mutants.ConclusionMultipleXLab provides a flexible and user-friendly root phenotyping platform that is an attractive mobile alternative to high-end imaging platforms and stationary growth chambers. It can be used in numerous applications by plant biologists, the seed industry, crop scientists, and breeding companies.

High-performance medical image secret sharing using super-resolution for CAD systems

High-performance medical image secret sharing using super-resolution for CAD systems

In Situ Fabrication of Cs3Cu2I5: Tl Nanocrystal Films for High-Resolution and Ultrastable X-ray Imaging.

Cs3Cu2I5 nanocrystals (NCs) are considered to be promising materials due to their high photoluminescence efficiency and X-ray hardness. However, the present strategy depends on tedious fabrication with excessive chemical waste. The evasive iodide ion dissociation, inadaptable ligand system, low stability, and relatively low light yield severely impede their applications. Herein, we develop an in situ fabrication strategy for a flexible and large-area Tl-doped Cs3Cu2I5 NC-polymer composite scintillation film with a high light yield (∼48800 photons/MeV) and improved stability. Tween 80 and phosphinic acid successfully inhibit the oxidation of iodide ions, and the films can be stored for at least six months. As a result, a high spatial resolution of 16.3 lp mm-1 and a low detection limit of 305 nGyair s-1 were achieved. A radioluminescence intensity of >80% was maintained after a total irradiation dose of 604.8 Gy. These results indicate the promising application of these copper halide NCs in low-cost, flexible, and high-performance medical imaging.

Freeze-Dried Biopharmaceutical Formulations are Surprisingly Less Stable than Liquid Formulations during Dropping.

This article describes an interesting phenomenon in which optimized freeze-dried (FD) biopharmaceutical formulations are generally more prone to degradation than their liquid counterparts during dropping and proposes an underlying cause for this surprising phenomenon. Two monoclonal antibodies (mAbs) and a fusion protein (FP) were used as model biopharmaceuticals. The stability after dropping stress was determined by ultraviolet-visible (UV-Vis), size exclusion high-performance liquid chromatography (SE-HPLC), micro-flow imaging (MFI), and dynamic light scattering (DLS). Contrary to what we would normally assume, the FD formulations of the three biopharmaceuticals studied here generally showed much higher amounts of protein sub-visible particles (SbVPs) than liquid formulations after applying the same dropping stress as determined by MFI and DLS. Traditional techniques, such as UV-Vis and SE-HPLC, could hardly detect such degradation. We propose that the higher temperature caused by dropping for the FD powders than the liquid formulations was probably one of the root causes for the higher amount of particles formed for the FD powders. We also recommend that dropping stress should be included for early-stage screening and choosing liquid versus FD biopharmaceutical formulations.

Patterning of Wafer-Scale MXene Films for High-Performance Image Sensor Arrays.

As a rapidly growing family of 2D transition metal carbides and nitrides, MXenes are recognized as promising materials for the development of future electronics and optoelectronics. So far, the reported patterning methods for MXene films lack efficiency, resolution, and compatibility, resulting in limited device integration and performance. Here, a high-performance MXene image sensor array fabricated by a wafer-scale combination patterning method of an MXene film is reported. This method combines MXene centrifugation, spin-coating, photolithography, and dry-etching and is highly compatible with mainstream semiconductor processing, with a resolution up to 2µm, which is at least 100 times higher than other large-area patterning methods reported previously. As a result, a high-density integrated array of 1024-pixel Ti3 C2 Tx /Si photodetectors with a detectivity of 7.73 × 1014 Jones and a light-dark current ratio (Ilight /Idark ) of 6.22 × 106 , which is the ultrahigh value among all reported MXene-based photodetectors, is fabricated. This patterning technique paves a way for large-scale high-performance MXetronics compatible with mainstream semiconductor processes.

High-performance imaging with an advanced non-imaging lens based on full-path optical diffraction calculation in two-dimensional space.

High-performance image-forming systems often require high system complexity due to the overdetermined nature of optical aberration correction. What we present here is a novel computational imaging modality which can achieve high-performance imaging using a simple non-image-forming optical system. The presented optical system contains an aspherical non-imaging lens which is designed with the optimal transfer of light radiation between an object and a detector. All spatial frequencies of the object collected by the non-imaging lens are delivered to the detector. No image is formed on the detector, and a full-path optical diffraction calculation method is developed to recover a high-quality image of the object from multiple intensity measurements. The effectiveness and high performance of the proposed imaging modality is verified by the examples.

Simplified retinal 3D projection rendering method and system.

A simplified rendering method and system for retinal 3D projection using view and depth information is proposed and demonstrated. Instead of vertex calculations, image-based techniques, including sub-image shifting, image fusion, and hole filling, combined with the depth information, are used to render the multi-view images in a display space with specific discrete depth coordinates. A set of time-division multiplexing retinal 3D projection systems with dense viewpoints is built. A near-eye display of a 3D scene with complex occlusion relationships is realized using the rendering method and system. The eye box of the retinal projection system is enlarged, and the accommodation response of the eyes is evoked at the same time, which improves the visual experience. Rendering tests are carried out using simple and complex models, which proves the effectiveness of this method. Comparative experiments prove that the proposed retinal projection method can obtain high-performance 3D images comparable to the super multi-view display method while simplifying the rendering process. Additionally, the depth of field of the experimental system can cover most of the vergence accommodation conflict sensitive range of the human eye.

Highly thermal stable RNase A@PbS/ZnS quantum dots as NIR-IIb image contrast for visualizing temporal changes of microvasculature remodeling in flap

Surgeons face great challenges in acquiring high-performance imaging because fluorescence probes with desired thermal stability remains rare. Here, hybrid lead sulfide/zinc sulfide quantum dots (PbS/ZnS QDs) nanostructures emitting in the long-wavelength end of the second near-infrared (NIR-IIb) window were synthesized and conjugated with Ribonuclease-A (RNase A). Such formed RNase A@PbS/ZnS QDs exhibited strong NIR IIb fluorescence and thermal stability, as supported by the photoluminescent emission assessment at different temperatures. This will allow the RNase A@PbS/ZnS QDs to provide stable fluorescence signals for long-time intraoperative imaging navigation, despite often happened, undesirable thermal accumulation in vivo. Compared to NIR-IIa fluorescence imaging, NIR-IIb vascular fluorescence imaging achieved larger penetration depth, higher signal/background ratios and nearly zero endogenous tissue autofluorescence. Moreover, these QDs illustrate the reliability during the real-time and long-time precise assessment of flap perfusion by clearly visualizing microvasculature map. These findings contribute to intraoperative imaging navigation with higher precision and lower risk.Graphical

Comprehensive design analysis and verification of space-based short-wave infrared coded spectrometer via curved prism dispersion.

The spaceborne dispersive spectrometer is widely used in environmental, resource, and ocean observations. The coded spectrometer has higher energy advantages than the dispersion spectrometer, so it has great application prospects. In the current study, we developed an off-axis short-wave infrared coded optical system (SICOS) based on curved prism dispersion, and we further explored the design and optimization of the SICOS structure. Finite element analyses of a space-based short-wave infrared coded spectrometer based on curved prism dispersion (SSICS-CPD), including static simulation, modal analysis, sinusoidal vibration mechanical analysis, and random vibration mechanical analysis, were carried out. Simulation results showed that the SICOS support structure had excellent mechanical and thermal stability. As off-axis optical systems cannot meet the requirements of optical position accuracy through centering processing, a point source microscope and three-coordinate measuring machines were employed to complete the high-precision and rapid assembly of the SSICS-CPD. In addition, verification tests of surface shape error, stress relief, random vibration, and optical design parameters were carried out to validate the high stability and imaging performance of the SSICS-CPD. Results showed that the average modulation transfer function in the full field was 0.43 at 16.67 lp/mm, the spectral smile was <0.2 pixels, and the spectral keystone was <0.1 pixels. The design, analysis, assembly, and verification of the SSICS-CPD provide a useful reference for the development of other spaceborne prism dispersion spectrometers.

Low dynamic range discrete cosine transform (LDR-DCT) for high-performance JPEG image compression

Low dynamic range discrete cosine transform (LDR-DCT) for high-performance JPEG image compression

A Metal-Phenolic Nanosensitizer Performs Hydrogen Sulfide-Reprogrammed Oxygen Metabolism for Cancer Radiotherapy Intensification and Immunogenicity.

Radiotherapy (RT) is hampered by the limited oxygen in tumors, which could be potentiated via reprogramming the oxygen metabolism and increasing the oxygen utilization efficiency. Herein, a metal-phenolic nanosensitizer (Hf-PSP-DTC@PLX) was integrated via an acid-sensitive hydrogen sulfide (H2 S) donor (polyethylene glycol-co-polydithiocarbamates, PEG-DTC) and a hafnium-chelated polyphenolic semiconducting polymer (Hf-PSP) in an amphiphilic polymer (poloxamer F127, PLX). Hf-PSP-DTC@PLX elicited a high imaging performance for precise RT and generated H2 S to reduce the cellular oxygen consumption rate via mitochondrial respiration inhibition, which reprogrammed the oxygen metabolism for improvement of the tumor oxygenation. Then, Hf-sensitization could fully utilize the well-preserved oxygen to intensify RT efficacy and activate immunogenicity. Such a synergistic strategy for improvement of oxygenation and oxygen utilization would have great potential in optimizing oxygen-dependent therapeutics.

A Metal‐Phenolic Nanosensitizer Performs Hydrogen Sulfide‐Reprogrammed Oxygen Metabolism for Cancer Radiotherapy Intensification and Immunogenicity

AbstractRadiotherapy (RT) is hampered by the limited oxygen in tumors, which could be potentiated via reprogramming the oxygen metabolism and increasing the oxygen utilization efficiency. Herein, a metal‐phenolic nanosensitizer (Hf‐PSP‐DTC@PLX) was integrated via an acid‐sensitive hydrogen sulfide (H2S) donor (polyethylene glycol‐co‐polydithiocarbamates, PEG‐DTC) and a hafnium‐chelated polyphenolic semiconducting polymer (Hf‐PSP) in an amphiphilic polymer (poloxamer F127, PLX). Hf‐PSP‐DTC@PLX elicited a high imaging performance for precise RT and generated H2S to reduce the cellular oxygen consumption rate via mitochondrial respiration inhibition, which reprogrammed the oxygen metabolism for improvement of the tumor oxygenation. Then, Hf‐sensitization could fully utilize the well‐preserved oxygen to intensify RT efficacy and activate immunogenicity. Such a synergistic strategy for improvement of oxygenation and oxygen utilization would have great potential in optimizing oxygen‐dependent therapeutics.

A dual DNA tetrahedrons and MnO2 nanosheets sustained entropy-driven DNA amplifier enables high-performance operation in live cells and bodies under a light-gated manner

Benefiting from the low chance of circuit leakage and the sufficient driving forces, the entropy-driven DNA amplifier has attracted great attention in constructing new fluorescent biosensors to operate in live specimen. But unfortunately, this promising signal amplification means still confront with some inevitable defects such as poor accuracy, inferior bio-stability and unsatisfactory biological uptake efficiency. To deal with these challenges, we propose here a series of rewarding sensing designs. First, an exceptional light-gated manner is integrated by embedding the sensing elements with a photocleavage-linker, under which the target specific recognition is capable of being initiated in a faultless control mode under a light irradiation. Then, dual DNA tetrahedrons are employed to anchor the linear DNA probes on their endpoints to significantly improve the enzyme resistance in complex biological medium. After that, a two-dimensional nanomaterial (MnO2 nanosheets) that can be efficiently reduced by biothiols is selected as an auxiliary nanovector to promote the endocytosis. By virtue of these efforts, this special biosensor is endowed with a good assay performance towards an underlying lung cancer related biomarker (microRNA-196a), wherein the sensitivity is as low as 3.2 pM and the specificity owns an identification ability for single-base mismatching. More importantly, our method can be utilized as a high-performance imaging toolbox for reliably detecting the target in live cancer/normal cells and bodies, offering a broad application prospect for cancer diagnosis.

Improved Ultrasound Imaging Performance With Complex Cumulant Analysis.

Ultrasound localization microscopy (ULM) breaks the acoustic diffraction limit. However, the temporal resolution of ULM is relatively low because of a long data-acquisition time. Inspired by super-resolution optical fluctuation imaging (SOFI), in this paper, we propose a method for ultrasound imaging with improved imaging performance, which is achieved by using cumulant analysis. Specifically, to eliminate the axial oscillations, here, the cumulant analysis framework is extended, which is used to process the complex-valued analytic signals rather than the real-valued signals. The results from the numerical simulations and in vitro physical phantom experiments indicate that by generalizing cumulant analysis to complex-valued signals, a high imaging performance is achieved with an improvement of ∼35%-42% (lateral direction) and ∼41%-42% (axial direction) in the resolution compared with the temporal mean envelope image, in terms of full-width-half-max (FWHM). In particularly, the axial oscillations appearing in the real cumulant images are effectively eliminated by the complex cumulant analysis. Moreover, the proposed method can easily take advantage of SOFI. In the phantom experiment, a short data-acquisition time (∼2 sec) is enough to obtain the improved spatial resolution. The proposed method offers an implementation of US with high spatial resolution, fast data-acquisition speed, and axial oscillations removal characteristics. The method provides the potential in US imaging fast biological processes in vivo.

Vmeasur: A software package for experimental and clinical measurement of mesenteric lymphatic contractile function over an extended vessel length.

Conventionally, in vivo mesenteric lymphatic contractile function is measured using a high magnification transmission microscope (field of view 0.3-1.5mm), which precludes visualization of extended lengths of vessels embedded in mesenteric fat. Existing software is not optimized for imaging at a low magnification using a contrast agent. We aimed to develop a simple and clinically transferable method for in situ visualization, image analysis, and quantitative assessment of mesenteric lymphatic contractile function over an extended area. Subserosal injection of various blue dyes was taken up by mesenteric lymphatics and visualized under a stereomicroscope (25×), allowing for video recording of 1.4×1.1cm of intact mesentery. A new R package ("vmeasur") that combines multiple high-performance image analyses into a single workflow was developed. The edges of each vessel were determined by applying an automated threshold to each frame (with real-time manual verification). The vessel width at every point in each frame was plotted to provide contractile parameters over time and along the lymphatic vessel length. Contractile parameters and their differences along the length of the vessel were accurately calculated in a rodent model. In a human mesenteric lymphatic, the algorithm was also able to measure changes in diameter over length. This software offers a low cost, rapid, and accessible method to measure lymphatic contractile function over a wide area, showing differences in contractility along the length of a vessel. Because the presence of mesenteric fat has less of an impact on imaging, due to the use of an exogenous contrast agent, there is potential for clinical application.

NIR-I fluorescence imaging tumorous methylglyoxal by an activatable nanoprobe based on peptide nanotubes by FRET process

Methylglyoxal (MGO), a glycolysis metabolite with high reactivity, can nonenzymatically modify proteins, lipids and nucleic acids etc., and it is closely related to the development of tumors. The accurate detection and high-performance optical imaging of MGO from deep tumor issues is of great significance for understanding their roles in tumor initiation and progression. Herein, we have presented a nanoprobe D/I-PNTs with emission in the first near infrared (NIR-I) region by employing a fluorescence resonance energy transfer (FRET) process between a far-red emission MGO probe and IR783 based on peptide nanotubes. The nanoplatform extended the emission range of MGO probe through FRET process and avoided complex molecular design and synthesis. The biocompatible peptide nanotubes improved the water solubility of MGO probe. D/I-PNTs was sensitive to MGO with a detection limit of 272 nM and enabled high-resolution NIR-I fluorescence imaging of MGO induced by glyoxalase I (GLO1) inhibitor in tumor with higher penetration depth (∼4 mm) than that in visible (Vis) region (∼3 mm). Most importantly, the FRET process based on the structure characteristics of peptide nanotubes can be a universal approach to realize the extension of emission wavelength and ratio detection of target analytes, which will be a promising strategy for bioimaging in deep tissue with high contrast.