Detection Imaging Research Articles

Investigation of magnetic noise from conductive shields in the 10–300 kHz frequency range

We present experimental and theoretical investigations of magnetic noise originating from radio-frequency (RF) conductive shields of flat geometry in the inductance-dominated impedance regime below 300 kHz. The measurement is based on a Q-factor determination of a coil that provides a sufficient sensitivity, placed at the position where the shield magnetic noise is measured. The theory is based on calculations of magnetic field and inductance of one or a few flat rings that emulate a conductive shield. The theoretical model is found to be in close agreement with experimental data. It can be used to predict the magnetic noise of a conductive shield with different thicknesses, conductivities, and temperatures at different distances for a wide range of frequencies. Although the model can be generalized for a more arbitrary shield geometry, in its presented form, it can be applied to the magnetic noise predictions when the shield surface curvature is not large. One important conclusion is that the RF conductive shield can generate the magnetic noise much lower than femtotesla, and, thus, it can be used in many precision experiments targeting minute high-frequency magnetic signals, such as detection of magnetic resonance imaging and nuclear quadrupole resonance signals and search for axion dark matter.

Design of the Japanese Comprehensive Health-Economic Assessment for Appropriate Cardiac Imaging Strategy Including Outcome and Cost-Effectiveness in Stable Coronary Artery Disease Study (J-CONCIOUS).

Background: The evaluation of stable coronary artery disease (SCAD) has evolved, and contemporary clinical practice guidelines emphasize the importance of in-depth consideration of procedure indications, risk stratification, and results of non-invasive imaging tests. However, little is known about the appropriate selection of imaging modalities for ischemia evaluation and the comparative cost-effectiveness in real-world clinical practice.Methods and Results: The Japanese Comprehensive Health-Economic Assessment for Appropriate Cardiac Imaging Strategy including Outcome and cost-effectiveness in Stable Coronary Artery Disease Study (J-CONCIOUS), a multicenter observational study, was designed to prospectively enroll 2,500 patients with suspected or known SCAD, register clinical information and administrative records, and follow patients for 3 years. Any diagnostic or cardiac imaging modality (including stress tests using electrocardiography, echocardiography, or myocardial perfusion imaging; coronary computed tomographic angiography; and/or invasive coronary angiography with or without fractional flow reserve assessment) is acceptable. Clinical endpoints, such as all-cause mortality, cardiac death, and non-fatal myocardial infarction, will be obtained, along with quality of life assessment using the Seattle Angina Questionnaire. The cost-effectiveness of individual assessment patterns will be quantified by analysis of Diagnosis Procedure Combination (DPC) data, and quality-adjusted life years and the incremental cost-effectiveness ratio will be calculated.Conclusions: J-CONCIOUS is expected to establish a risk-based and cost-effective imaging strategy for the detection and evaluation of functional myocardial ischemia and/or anatomical coronary imaging in Japan.

Green fluorescent protein-based lactate and pyruvate indicators suitable for biochemical assays and live cell imaging

Glycolysis is the metabolic pathway that converts glucose into pyruvate, whereas fermentation can then produce lactate from pyruvate. Here, we developed single fluorescent protein (FP)-based lactate and pyruvate indicators with low EC50 for trace detection of metabolic molecules and live cell imaging and named them “Green Lindoblum” and “Green Pegassos,” respectively. Green Lindoblum (EC50 of 30 µM for lactate) and Green Pegassos (EC50 of 70 µM for pyruvate) produced a 5.2- and 3.3-fold change in fluorescence intensity in response to lactate and pyruvate, respectively. Green Lindoblum measured lactate levels in mouse plasma, and Green Pegassos in combination with D-serine dehydratase successfully estimated D-serine levels released from mouse primary cultured neurons and astrocytes by measuring pyruvate level. Furthermore, live cell imaging analysis revealed their utility for dual-colour imaging, and the interplay between lactate, pyruvate, and Ca2+ in human induced pluripotent stem cell-derived cardiomyocytes. Therefore, Green Lindoblum and Green Pegassos will be useful tools that detect specific molecules in clinical use and monitor the interplay of metabolites and other related molecules in diverse cell types.

Plane Animation Simulation of the Interaction between Carbon Nanomaterials and Cell Lysosomes

With the continuous development of cell dynamics, Raman scattering has become more and more common in the application of cell imaging and dynamic changes in chemical substances. This research mainly discusses the plane animation simulation process of the interaction between carbon nanomaterials and cell lysosomes. Twenty parallel HeLa cells were seeded on 40 mm imaging scaffolds. The 15% bovine placental serum cell culture cells are placed in a thermostat for 12 hours at a CO2 concentration of 6%. After washing 4 times, 20 μL of the dual control system is added to the confocal dish, and cycle optimization culture is performed at 2, 4, 6, and 8 hours. It is incubated for 10 hours, 20 hours, and 30 hours (35°C, 6% CO2). Next, the HeLa cells were taken out and seeded on three 30 mm confocal cell culture dishes. CCl4 is added to the initial confocal Petri dish. After heating for 30 minutes, the nanoparticle system is added to the two confocal Petri dishes and circulated within an appropriate time. After washing with PBS, the SERS signal in the cells was imaged with a laser confocal Raman microscope, and the excitation channels were GFP 475 and Cy3 channels. LysoTrackerRed (2p μM) was used for local experiments of cell isotope. Deoxygen (2p μM) was used to induce cell death, and the pH changes in lysosomes in cells were imaged in real time with a confocal microscope. Two distinct peaks in the Raman spectrum were observed at 1246 cm−1 and 1543 cm−1. The research results show that the carbon nanomaterial synthesized by a simple method at room temperature has high stability and is suitable for analysis and detection of imaging with cells as the target.

Facile synthesis of carbon dots from wheat straw for colorimetric and fluorescent detection of fluoride and cellular imaging.

Colorimetric and fluorescent detection of F- have attracted enormous interest owing to their simplicity, low-cost and high selectivity. However, traditional colorimetric and fluorescent sensors mainly based on the insoluble and toxic organic molecules, which is not favorable for sensing F- in water media and living cells. In this work, we designed fluorescent carbon dots (CDs) with excellent water solubility and good biocompatibility as a colorimetric and fluorescent dual-model probe for the detection of F-. The CDs were prepared by a green, one-step hydrothermal strategy from wheat straw without any additives and surface passivation. The obtained CDs exhibited a bright blue fluorescence, special response to F- and low cytotoxicity. More interestingly, a significant color change from light yellow to red can be observed by the naked eye upon addition of F- ions to the CDs solution probably due to the formation of hydrogen bonding between CDs and F-. Besides, the fluorescence of CDs also can be selectively quenched by F- with the detection limit of about 49μM. Additionally, the CDs are also applied to intracellular imaging and sensing of F- in living cells. This strategy may provide a new method for the detection of F- in water media and biological systems.

Covalent-Assembly Based Fluorescent Probes for Detection of hNQO1 and Imaging in Living Cells.

Human NAD(P)H: quinone oxidoreductase (hNQO1) is an important biomarker for human malignant tumors. Detection of NQO1 accurately is of great significance to improve the early diagnosis of cancer and prognosis of cancer patients. In this study, based on the covalent assembly strategy, hNQO1-activated fluorescent probes 1 and 2 are constructed by introducing coumarin precursor 2-cyano-3-(4-(diethylamino)-2-hydroxyphenyl) acrylic acid and self-immolative linkers. Under reaction with hNQO1 and NADH, turn-on fluorescence appears due to in-situ formation of the organic fluorescent compound 7-diethylamino-3-cyanocoumarin, and fluorescent intensity changes significantly. Probe 1 and 2 for detection of hNQO1 are not interfered by other substances and have low toxicity in cells. In addition to quantitative detection of hNQO1 in vitro, they have also been successfully applied to fluorescent imaging in living cells.

Intrinsically Fluorescent Biocompatible Terpolymers for Detection and Removal of Bi(III) and Cell Imaging.

Intrinsically fluorescent biocompatible multifunctional multipurpose terpolymers, i.e., methyl methacrylate-co-methyl 3-(N-isopropylacrylamido)-2-methylpropanoate-co-N-isopropylacrylamide (MMA-co-MNIPAMP-co-NIPAm, 1) and methyl methacrylate-co-methyl 3-(N-hydroxymethylacrylamido)-2-methylpropanoate-co-N-hydroxymethylacrylamide (MMA-co-MNHMAMP-co-NHMAm, 2), were synthesized via in situ-attached acrylamido-ester monomers during polymerization of hydrophobic monomers in water medium. These nonconjugated fluorescent terpolymers presenting aggregation-enhanced emissions (AEEs) were suitable for Bi(III) sensors, Bi(III) removal, cell imaging, and security inks. The fluorescence properties, mechanisms of quenching, interactions of Bi(III) with 1 and 2, and Bi(III) adsorption were explored using theoretical analyses of 1, 2, Bi(III)-1, and Bi(III)-2. Considering the overall properties, 1 was more suitable for diverse prospective applications.

A fluorescent probe using phosphorus-doped graphite carbon nitride nanosheets for the detection of silver ions and cell imaging

The fluorescent phosphorus-doped graphite carbon nitride (P-g-C3N4) nanosheets have been synthesized as a fluorescence probe using an ultrasonic exfoliating method. The as-prepared P-g-C3N4 nanosheets were characterized by multiple analytical techniques such as transmission electron microscopy, X-ray photoelectron spectroscopy, X-ray diffraction, and infrared spectroscopy. The fluorescence intensity of P-g-C3N4 nanosheets decreases with the increase in concentration of silver ions. A good linear relationship was achieved between the corresponding fluorescence intensity of P-g-C3N4 nanosheets and the concentration of silver ions in the range of 20 nmol/L – 3.2 μmol/L. The quenching mechanism of interaction between P-g-C3N4 nanosheets and silver ions was primarily discussed. The proposed fluorescence probe has been successfully applied to detect silver ions in real water samples and the recoveries range from 96.8% to 103.7%.

A Review on Schiff Base Fluorescent Chemosensors for Cell Imaging Applications.

Fluorescent determinations of analytes have proven to be a powerful method due to their simplicity, low cost, detection limit, rapid photoluminescence response, and applicability to bioimaging. Fluorescence imaging as a powerful tool for monitoring biomolecules within the living systems. Schiff base has been extensively used as strongly absorbing and colorful chromophores in the design of chemosensors. In recent years, Schiff base based fluorescent probes have been developed for the detection of various toxic analytes and imaging of various analytes in biological systems. This review gives an overview of the important fluorescent sensors which are based on Schiff base, their approaches for molecular recognition, and their potential application in bioimaging studies.

Synthesis of Novel Fluorescent Carbon Quantum Dots From Rosa roxburghii for Rapid and Highly Selective Detection of o-nitrophenol and Cellular Imaging.

A novel carbon quantum dots (CQDs) were successfully synthesized by one-step hydrothermal reaction using Rosa roxburghii as a biomass-based precursor. The CQDs have an average size of 2.5 nm and a narrow size distribution. They display strong blue fluorescence with a quantum yield of 24.8% and good biocompatibility. Notably, these CQDs were capable of detecting trace o-nitrophenol in surface water and sewage with high sensitivity and specificity. The linear range is 0.08–40 μmol/L, and the limit of detection is 15.2 nmol/L. Furthermore, this CQDs was successfully applied for o-nitrophenol analysis in river water and sewage samples. Additionally, Hep3B cells, a human hepatocellular carcinoma cell line, can be easily imaged with high resolution using the as-prepared CQDs as nanoprobes. These results reveal that the as-prepared CQDs have potential applications for detecting o-nitrophenol and cell imaging.

Facile pH-sensitive optical detection of pathogenic bacteria and cell imaging using multi-emissive nitrogen-doped carbon dots

Rapid detection of lethal pathogens is critical to abate the mortality rate of patients suffering from infectious diseases. Herein, we report a pH-sensitive detection of the pathogenic bacteria using multicolor emissive Nitrogen-doped Carbon Dots (NtCD) synthesized by a one-step hydrothermal method. The unique pH-sensitive interaction of NtCD with bacteria was best studied at pH 2. NtCD was competent to detect several pathogenic bacteria such as; Escherichia coli (E. coli), Staphylococcus aureus (S. aureus), Bacillus subtilis (B. subtilis) and Proteus vulgaris (P. vulgaris). The fluorescence spectral investigations of NtCD revealed the excitation dependent emission property with a red-shift. It shows an intense photoluminescent (PL) emission at λex/λem = 340/435 nm. The calculated quantum yield of NtCD was 27.2%. It also possesses multicolor emission at different excitation wavelengths. TEM analysis displayed the uniform spherical morphology of NtCD particles with an average hydrodynamic diameter of 3.11 ± 0.75 nm. The zeta potential of NtCD was measured as −8.4 mV at pH 2. The interaction between NtCD and bacteria was explained on the basis of their zeta potential values. The PL emission response of NtCD tagged bacteria was investigated at λex = 340 nm. It was potentially tagging to both E. coli and S. aureus but with a better response towards E. coli cells. The human squamous epithelial cells (SEC) were deployed as a fitting substitute for achieving NtCD-mammalian cell imaging. Both NtCD tagged bacterial cells and SEC exhibited multicolor emission as well. Mechanistic implications of pH-dependent PL emission property of NtCD and its bacterial interaction were discussed extensively.

In-vivo analysis of iron-gold composite nanoparticles as potential exogenous contrast agents for magnetomotive optical coherence tomography (MMOCT)

Magnetomotive optical coherence tomography (MMOCT) is a functional modification of conventional optical coherence tomography (OCT). It utilizes the nano-scale displacement embedded magnetic nanoparticles (MNPs) and subsequent amplitude and phase changes in OCT interferogram scattered from samples. We report a new robust method for ‘phase-lock-in’ detection of MMOCT signals and subsequent imaging. We validated this method utilizing iron-gold (Fe-Au) composite nanoparticles as an exogenous contrast agent for MMOCT. High contrast and specific background-subtracted images was generated for Fe-Au MNPs targeted samples. MMOCT with MNPs imaging systems was corroborated with tissue phantoms and in-vivo swiss albino mice model with modulating external magnetic field (resonant frequency of 30 Hz). A time-dependent dynamics study of diffusion for MNPs inside the tissue of mice as a function of time and depth is also reported.

Spatial-Polarization-Independent Parametric Up-Conversion of Vectorially Structured Light

Spatial polarization independent (SPI) parametric conversion is the basis of many optical applications, such as SPI frequency interface for communication channels carried by vector modes and upconversion detection for polarization-resolved imaging. However, realizing such conversion remains a challenge. In this proof-of-principle work, we demonstrated SPI parametric upconversion using a polarization Sagnac nonlinear interferometer based on type-II second-harmonic generation (SHG). Our results show that the vector (including both polarization and intensity) profile and associated SOC state of the vector signal beam could be transferred to the SHG beam with a high fidelity. The principle lays a foundation of SPI frequency interface for quantum/classical channels based on vector modes and also paves the way for upconversion detection of polarization-resolved imaging in Mid-/far-infrared region.

Magnetic resonance imaging for pathobiological assessment and interventional treatment of the coronary arteries.

X-ray-based fluoroscopy is the standard tool for diagnostics and intervention in coronary artery disease. In recent years, computed tomography has emerged as a non-invasive alternative to coronary angiography offering detection of coronary calcification and imaging of the vessel lumen by the use of iodinated contrast agents. Even though currently available invasive or non-invasive techniques can show the degree of vessel stenosis, they are unable to provide information about biofunctional plaque properties, e.g. plaque inflammation. Furthermore, the use of radiation and the necessity of iodinated contrast agents remain unfavourable prerequisites. Magnetic resonance imaging (MRI) is a radiation-free alternative to X-ray which offers anatomical and functional imaging contrasts fostering the idea of non-invasive biofunctional assessment of the coronary vessel wall. In combination with molecular contrast agents that target-specific epitopes of the vessel wall, MRI might reveal unique plaque properties rendering it, for example, ‘vulnerable and prone to rupture’. Early detection of these lesions may allow for early or prophylactic treatment even before an adverse coronary event occurs. Besides diagnostic imaging, advances in real-time image acquisition and motion compensation now provide grounds for MRI-guided coronary interventions. In this article, we summarize our research on MRI-based molecular imaging in cardiovascular disease and feature our advances towards real-time MRI-based coronary interventions in a porcine model.

Overview of Segmentation X-Ray Medical Images Using Image Processing Technique

Image processing techniques have been used in a wide variety of applications nowadays to enhance the quality of raw image data. Today, image segmentation or detection of x-tray medical imaging is very popular and challenges task in order to improve the diagnosis and analysis result. An x-ray image is one of the oldest photographic films that is mostly used in medical diagnosis and treatment. An x-ray image is a very useful modality for the physicians and doctors to determine and analyze the bone fracture, which is an important symptom used for diagnosis, but x-ray produces an only medium quality image, which will normally affect the information of the image. This article provides a review study of the medical image segmentation. Based on this study, the advantages and drawback each method clearly explained. This article presents an exhaustive review of these studies and suggests a direction for future developments in order to propose segmentation methods.

Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis.

PurposeTo date, considerable knowledge gaps remain regarding the chest CT imaging features of coronavirus disease 2019 (COVID-19). We performed a systematic review and meta-analysis of results from published studies to date to provide a summary of evidence on detection of COVID-19 by chest CT and the expected CT imaging manifestations.MethodsStudies were identified by searching PubMed database for articles published between December 2019 and February 2020. Pooled CT positive rate of COVID-19 and pooled incidence of CT imaging findings were estimated using a random-effect model.ResultsA total of 13 studies met inclusion criteria. The pooled positive rate of the CT imaging was 89.76% and 90.35% when only including thin-section chest CT. Typical CT signs were ground glass opacities (83.31%), ground glass opacities with mixed consolidation (58.42%), adjacent pleura thickening (52.46%), interlobular septal thickening (48.46%), and air bronchograms (46.46%). Other CT signs included crazy paving pattern (14.81%), pleural effusion (5.88%), bronchiectasis (5.42%), pericardial effusion (4.55%), and lymphadenopathy (3.38%). The most anatomic distributions were bilateral lung infection (78.2%) and peripheral distribution (76.95%). The incidences were highest in the right lower lobe (87.21%), left lower lobe (81.41%), and bilateral lower lobes (65.22%). The right upper lobe (65.22%), right middle lobe (54.95%), and left upper lobe (69.43%) were also commonly involved. The incidence of bilateral upper lobes was 60.87%. A considerable proportion of patients had three or more lobes involved (70.81%).ConclusionsThe detection of COVID-19 chest CT imaging is very high among symptomatic individuals at high risk, especially using thin-section chest CT. The most common CT features in patients affected by COVID-19 included ground glass opacities and consolidation involving the bilateral lungs in a peripheral distribution.

GPR Detection of Tunnel Lining Cavities and Reverse-time Migration Imaging

Tunnel lining cavity is one of the diseases that threaten the safe operation of tunnel, so it has been the attention of test personnel. As a nondestructive testing method, Ground Penetrating Radar (GPR) has been widely used in tunnel lining disease inspection. In order to improve the detection accuracy and success rate of tunnel lining cavities, this paper applies the reverse-time migration (RTM) algorithm to image tunnel lining cavities with high accuracy. Firstly, the principle of GPR pre-stack RTM is described in detail, in which the finite difference time domain (FDTD) method is used to calculate the forward and backward electromagnetic fields, and the normalized cross-correlation imaging condition is used to obtain the RTM results. On this basis, the GPR RTM program is compiled and applied to the simulated dataset of a typical lining cavity GPR model. The comparison of RTM and Kirchhoff migration result showed that the diffracted wave in the steel bar and cavities has good convergence, and the profile’s resolution is improved effectively; In contrast to the Kirchhoff migration result, the RTM result can better focus the radar diffraction wave energy of the steel bars and cavities on the real space location generated by them, weaken the shielding effect of the steel mesh, and suppress multiple interference and clutter scattering waves. Finally, a physical model of lining cavities was detected by GPR, and the RTM algorithm was applied to data processing and interpretation. The RTM delimits the positions of steel mesh and cavities effectively, and the interpretation accuracy of GPR profile has been improved, which provide a scientific and effective way for accurately delimit the scope of tunnel lining cavities.

Conjugated oligomer-based ultrasensitive fluorescent biosensor for activatable imaging of endogenous NQO1 with High catalytic efficiency in cancer cells

Human NAD(P)H: Quinone oxidoreductase 1 (NQO1) is over-expressed in many cancer cells. Thus, it is significant to establish a selective and sensitive method with high signal-to-background ratio for NQO1 detection and cancer diagnosis. Herein, an activatable biosensor based on water-soluble conjugated oligomer (OPFV-TLQ) was designed for highly sensitive detection of NQO1 and visualization imaging of cancer cells. Oligo (ethylene glycol) and the trimethyl lock quinone propionic acid group were modified on the side chain of OPFV-TLQ, which makes the probe possess good water-solubility and low fluorescence background signal, respectively. Interestingly, the benzoquinone can be reduced to hydroquinone by NQO1, which dramatically activates the fluorescence of OPFV-TLQ. Importantly, about 141-fold enhancement in intensity was obtained, which provides one of the highest signal-to-background ratio and the lowest detection limit of 0.068 ng/mL. Additionally, the catalytic constant was 67.71 μM−1 s−1 that is significantly higher than those of other probes, indicating the excellent catalytic efficiency of NQO1. Molecular docking simulation certifies that the probe is an excellent substrate of NQO1. Furthermore, the probe displays high selectivity and biocompatibility, and also has high-fidelity fluorescent signals in NQO1-positive cells. Thus, the biosensor holds great promise in biological applications of cancer cells/tissues imaging and cancer differentiation.

Efficient preparation of nitrogen-doped fluorescent carbon dots for highly sensitive detection of metronidazole and live cell imaging.

Herein, nitrogen-doped carbon dots (N-CDs) emitting blue fluorescence were prepared using L-tartaric acid and triethylenetetramine through a simple and quick microwave-assisted method. The synthesized N-CDs displayed excitation-dependent fluorescence behavior, and their maximum excitation and emission wavelengths were 350 and 425nm, respectively. The obtained N-CDs, which featured excellent fluorescence properties with a high fluorescence quantum yield of 31%, were applied to detect metronidazole (MNZ), which can effectively quench the fluorescence intensity of N-CDs due to the inner filter effect. This phenomenon was used as basis to develop a label-free fluorescent method for rapid MNZ determination, with the limit of detection of 0.22μM and corresponding linear range of 0.5-22μM. Hence, we had established a fluorescence method for MNZ detection and applied it to detect MNZ in real samples with satisfactory results. Finally, N-CDs with superior biocompatibility were applied for cell imaging and MNZ detection by the changes in fluorescence intensity.

Robust ultraclean atomically thin membranes for atomic-resolution electron microscopy

The fast development of high-resolution electron microscopy (EM) demands a background-noise-free substrate to support the specimens, where atomically thin graphene membranes can serve as an ideal candidate. Yet the preparation of robust and ultraclean graphene EM grids remains challenging. Here we present a polymer- and transfer-free direct-etching method for batch fabrication of robust ultraclean graphene grids through membrane tension modulation. Loading samples on such graphene grids enables the detection of single metal atoms and atomic-resolution imaging of the iron core of ferritin molecules at both room- and cryo-temperature. The same kind of hydrophilic graphene grid allows the formation of ultrathin vitrified ice layer embedded most protein particles at the graphene-water interface, which facilitates cryo-EM 3D reconstruction of archaea 20S proteasomes at a record high resolution of ~2.36 Å. Our results demonstrate the significant improvements in image quality using the graphene grids and expand the scope of EM imaging.