Observing perineuronal nets like structures via coaxial scattering quantitative interference imaging at multiple wavelengths.

Perineuronal nets (PNNs) are important functional structures on the surface of nerve cells. Observation of PNNs usually requires dyeing or fluorescent labeling. As a network structure with a micron grid and sub-wavelength thickness but no special optical properties, quantitative phase imaging (QPI) is the only purely optical method for high-resolution imaging of PNNs. We proposed a Scattering Quantitative Interference Imaging (SQII) method which measures the geometric rather than transmission or reflection phase during the scattering process to visualize PNNs. Different from QIP methods, SQII method is sensitive to scattering and not affected by wavelength changes. Via geometric phase shifting method, we simplify the phase shift operation. The SQII method not only focuses on interference phase, but also on the interference contrast. The singularity points and phase lines of the scattering geometric phase depict the edges of the network structure and can be found at the valley area of the interference contrast parameter SINDR under different wavelengths. Our SQII method has its unique imaging properties, is very simple and easy to implement and has more worth for promotion.

Quantification and characterization of an ultrasound-induced polarization wavefront aberration in the phase space.

Light propagation wavefront and photon composition variations occur when the beam encounters acoustic waves, bringing mechanical and chemical inhomogeneity-induced light-intensity modulation, while phase variations, which carry more information about the acoustic-optical coupling in the medium, are often overlooked. This paper investigates the coupling of the light beam with the propagating ultrasound and the polarization aberration of the optical wave induced by the ultrasound. A model was developed to express the variation of the ultrasound-induced polarization aberration (UIPA). The ultrasound-induced refractive index variation of the sample was observed in both the simulation and experiments. The phase differences in various ultrasound states (valley dominant state, peak dominant state) are characterized in detail. The UIPA expressed in the phase space provides a way to quantify multidimensional polarization information of the ultrasound-tagged optical waves and allows refraction-sensitive polarization parametric imaging, which may be exploited for directional high-contrast photoacoustic imaging with ultrasound tagging.

Surface plasmon resonance sensor based on polarization parameter SPR imaging.

Using polarization surface plasmon resonance (SPR) imaging as a sensor has the advantage of large throughput in detection, but its sensitivity has always been inferior to other SPR sensors. The high contrast of the two polarization parameters' images related to scattering determines the high sensitivity of this new polarization SPR imaging sensor. It provides a new direction for solving the issue of low sensitivity in polarization SPR imaging. The sensor system was optimized by numerical simulation, whilst the baseline noise and sensitivity of the system were obtained by saline solution and virus detection. When the reflective index of the NaCl solution is within the range of 1.3331 to 1.36, the average sensitivity can reach 9300 RIU-1, and the maximum sensitivity can reach 13000 RIU-1. Using this new polarization SPR imaging sensor, the H1N1 virus was differentiated, showing its promising application potential within the field of biomedicine.

Asymmetric parameter enhancement in the split-ring cavity array for virus-like particle sensing.

Quantitative detection of virus-like particles under a low concentration is of vital importance for early infection diagnosis and water pollution analysis. In this paper, a novel virus detection method is proposed using indirect polarization parametric imaging method combined with a plasmonic split-ring nanocavity array coated with an Au film and a quantitative algorithm is implemented based on the extended Laplace operator. The attachment of viruses to the split-ring cavity breaks the structural symmetry, and such asymmetry can be enhanced by depositing a thin gold film on the sample, which allows an asymmetrical plasmon mode with a large shift of resonance peak generated under transverse polarization. Correspondingly, the far-field scattering state distribution encoded by the attached virus exhibits a specific asymmetric pattern that is highly correlated to the structural feature of the virus. By utilizing the parametric image sinδ to collect information on the spatial photon state distribution and far-field asymmetry with a sub-wavelength resolution, the appearance of viruses can be detected. To further reduce the background noise and enhance the asymmetric signals, an extended Laplace operator method which divides the detection area into topological units and then calculates the asymmetric parameter is applied, enabling easier determination of virus appearance. Experimental results show that the developed method can provide a detection limit as low as 56 vp/150µL on a large scale, which has great potential in early virus screening and other applications.

Co-optimization method to improve lateral resolution in photoacoustic computed tomography.

In biomedical imaging, photoacoustic computed tomography (PACT) has recently gained increased interest as this imaging technique has good optical contrast and depth of acoustic penetration. However, a spinning blur will be introduced during the image reconstruction process due to the limited size of the ultrasonic transducers (UT) and a discontinuous measurement process. In this study, a damping UT and adaptive back-projection co-optimization (CODA) method is developed to improve the lateral spatial resolution of PACT. In our PACT system, a damping aperture UT controls the size of the receiving area, which suppresses image blur at the signal acquisition stage. Then, an innovative adaptive back-projection algorithm is developed, which corrects the undesirable artifacts. The proposed method was evaluated using agar phantom and ex-vivo experiments. The results show that the CODA method can effectively compensate for the spinning blur and eliminate unwanted artifacts in PACT. The proposed method can significantly improve the lateral spatial resolution and image quality of reconstructed images, making it more appealing for wider clinical applications of PACT as a novel, cost-effective modality.

Gold-viral particle identification by deep learning in wide-field photon scattering parametric images.

The ability to identify virus particles is important for research and clinical applications. Because of the optical diffraction limit, conventional optical microscopes are generally not suitable for virus particle detection, and higher resolution instruments such as transmission electron microscopy (TEM) and scanning electron microscopy (SEM) are required. In this paper, we propose a new method for identifying virus particles based on polarization parametric indirect microscopic imaging (PIMI) and deep learning techniques. By introducing an abrupt change of refractivity at the virus particle using antibody-conjugated gold nanoparticles (AuNPs), the strength of the photon scattering signal can be magnified. After acquiring the PIMI images, a deep learning method was applied to identify discriminating features and classify the virus particles, using electron microscopy (EM) images as the ground truth. Experimental results confirm that gold-virus particles can be identified in PIMI images with a high level of confidence.

Label-free sensing of virus-like particles below the sub-diffraction limit by wide-field photon state parametric imaging of a gold nanodot array.

A parallel four-quadrant sensing method utilizing a specially designed gold nanodot array is created for sensing virus-like particles with a sub-diffraction limit size (∼100 nm) in a wide-field image. Direct label-free sensing of viruses using multiple four-quadrant sensing channels in parallel in a wide-field view enables the possibility of high-throughput onsite screening of viruses.