BINA

Terpene synthases (TPS) catalyze the first step in the formation of terpenoids, which comprise the largest class of natural products in nature. TPS employ a family of universal natural substrates, composed of isoprenoid units bound to a diphosphate moiety. The intricate structures generated by TPS are the result of substrate binding and folding in the active site, enzyme‐controlled carbocation reaction cascades, and final reaction quenching. A key unaddressed question in class I TPS is the asymmetric nature of the diphosphate‐(Mg2+)3 cluster, which forms a critical part of the active site. In this asymmetric ion‐cluster, two diphosphate oxygens protrude into the active site pocket. The substrate hydrocarbon tail, which is eventually molded into terpenes, can bind to either of these oxygens, yet to which is unknown. Here, we employ structural, bioinformatics, and EnzyDock docking tools to address this enigma. We bring …

Efimov trimers are exotic three-body quantum states that emerge from the different types of three-body continua in the vicinity of two-atom Feshbach resonances. In particular, as the strength of the interaction is decreased to a critical point, an Efimov state merges into the atom-dimer threshold and eventually dissociates into an unbound atom-dimer pair. Here we explore the Efimov state in the vicinity of this critical point using coherent few-body spectroscopy in 7Li atoms using a narrow two-body Feshbach resonance. Contrary to the expectation, we find that the 7Li Efimov trimer does not immediately dissociate when passing the threshold, and survives as a metastable state embedded in the atom-dimer continuum. We identify this behavior with a universal phenomenon related to the emergence of a repulsive interaction in the atom-dimer channel which reshapes the three-body interactions in any system …

Summary Knowledge of immunoglobulin and T cell receptor encoding genes is derived from high-quality genomic sequencing. High-throughput sequencing is delivering large volumes of data, and precise, high-throughput approaches to annotation are needed. Digger is an automated tool that identifies coding and regulatory regions of these genes, with results comparable to those obtained by current expert curational methods. Availability and implementation Digger is published under open source license at https://github.com/williamdlees/Digger and is available as a Python package and a Docker container.

Phase transitions are fundamental features of statistical physics. While the well-studied continuous phase transitions are known to be controlled by external \textit{macroscopic} changes in the order parameter, the origin of abrupt transitions is not yet clear. Here we show that abrupt phase transitions may occur due to a unique internal \textit{microscopic} cascading mechanism, resulting from dependency interactions. We experimentally unveil the underlying mechanism of the abrupt transition in interdependent superconducting networks to be governed by a unique metastable state of a long-living resistance cascading plateau. This plateau is characterized by spontaneous \textit{microscopic} changes that last for \textit{thousands} of seconds, followed by a \textit{macroscopic} phase shift of the system. Similar microscopic mechanisms are expected to be found in a variety of systems showing abrupt transitions.

The paradigm of interdependent networks has recently been manifested in experimentally testable lab setup of interdependent superconducting networks. This system experiences an abrupt transition due to the thermal dissipation between the networks but its underlying mechanism remains elusive. Here we study the critical behavior and the underlying mechanism of the transition, unveiling its unique microscopic nature. The microscopic characteristics of the transition result in a macroscopic long-living plateau that lasts for thousands of seconds and increases with the size of the system. We characterize the critical behavior of the transition and find that the critical exponents are consistent with those predicted theoretically for percolation of abstract interdependent networks and interdependent ferromagnetic networks, supporting a common universal origin of interdependent systems.

Lately, there has been a renewed attention to the study of multimode signals and their ultrafast interactions. One fascinating phenomenon in this field is known as nonlinear multimode dispersive waves. These waves are frequently observed and hold significant applications across diverse physical systems. While the single-mode case of these waves has been widely researched, the multimode scenario remains relatively unexplored. Understanding and studying nonlinear multimode dispersive waves holds great significance in predicting and analyzing wave phenomena within many systems. In our lab, we developed multimode time lens, which can measure the temporal and spatial dynamics of signals inside multimode fibers. We study the interactions of multimode dispersive waves, in both frequency and time domain. We use the multimode time lens we developed to image and analyze the temporal dynamics …

In nanophotonic, small mode volumes, narrow resonance linewidths and field enhancements, fundamentally scales with refractive index values and are key for many implementations involving light-matter interactions. Topological insulators (TI) are a class of insulating materials that host topologically protected surface states, some of which exhibit very high permittivity values. In this talk, I will present my group’s latest results on chalcogenide metaphotonics. I start by discussing Chalcogenide Bi2Te3 and Bi2Se3 TIs nanostructures. Using polarized far-field and near field Nanospectroscopy we reveal that Bi2Se3 nanobeams exhibit mid-infrared resonant modes with 2π phase shifts across the resonance. We further demonstrate that Bi2Te3 metasurfaces exhibit deep-subwavelength resonant modes utilizing their record high index value peaking at n~11. Finally we discuss how the anomalous thermo-optic effect in …

X-ray imaging is a prevalent technique for non-invasively visualizing the interior of the human body and other opaque samples. In most commercial X-ray modalities, an image is formed by measuring the X-rays that pass through the object of interest. However, despite the potential of scattered radiation to provide additional information about the object, it is often disregarded due to its inherent tendency to cause blurring. Consequently, conventional imaging modalities do not measure or utilize these valuable data. In contrast, we propose and experimentally demonstrate a high resolution technique for X-ray computed tomography (CT) that measures scattered radiation by exploiting computational ghost imaging (CGI). We show that the resolution of our method can exceed 500 µm, which is approximately an order of magnitude higher than the typical resolution of X-ray imaging modalities based on scattered radiation …

Visualizing the current distribution in materials is a powerful tool to investigate and understand unconventional transport they exhibit. In the present work, we study a few microns thick devices of the layered chalcogenide material 1T-TaS 2. Pulsed DC excitation of the commensurate charge density wave (CCDW) phase in the system leads to a controllable, non-volatile, resistance-switching states. We use scanning SQUID microscopy to image, in-situ, the local current density map by mapping the field generated by the current flow. The images reveal the presence of electrical domains in the device and their effect on the current flow.

Vertical growth of Zn crystals is widely recognized as a primary factor responsible for the premature failure of aqueous Zn batteries. These vertically aligned sharp-tipped Zn plates can easily pierce the separator, propagating toward the cathode side, and short-circuit the cell. While inhibition of this phenomenon may be achieved by electrolyte engineering or manipulation of the anode’s interface, we propose herein an effective suppression of vertical Zn growth by replacing the conventional separators with highly affordable commercially available printing paper. Based on electrochemical and structural studies followed by small punch measurements, we found that these papers comprise nanometric rigid ceramic particles that act as a physical barrier for the growth of Zn plates, preventing their penetration through the paper-based separator. As a result, the examined cells demonstrate excellent long-term performance …

Quantum reference frames have attracted renewed interest recently, as their exploration is relevant and instructive in many areas of quantum theory. Among the different types, position and time reference frames have captivated special attention. Here, we introduce and analyze a nonrelativistic framework in which each system contains an internal clock in addition to its external (spatial) degree of freedom and, hence, can be used as a spatiotemporal quantum reference frame. We present expressions for expectation values and variances of relevant observables in different perspectives, as well as relations between these quantities in different perspectives in scenarios with no interactions. In particular, we show that even in these simple scenarios the relative uncertainty between clocks affects the relative spatial spread of the systems.

Rapid, highly sensitive, and high-throughput detection of biomarkers at low concentrations is invaluable for the early diagnosis of various diseases. In many sensitive immunoassays, the protocol is time-consuming and requires a complicated and expensive detection system. Previously, we presented a high-throughput optical modulation biosensing (ht-OMB) system, which enables reading a 96-well plate within 10 minutes. In ht-OMB, to aggregate and immobilize the magnetic beads to one spot, a single cylindrical permanent magnet with a sharp tip is positioned under a 96-well plate. To reduce washing and separation steps, the laser beam is manipulated relative to the fixed magnetic beads. Recently, MagBiosense Inc., which commercializes the ht-OMB technology, provided us with a fully automated OMBi detection system. Here, we show the use of the OMBi system for highly sensitive serological (clinical anti …

Temporal optics, and specifically time-lenses and time-stretch systems, revolutionized the field of ultrafast measurements. Over the last years, we utilized time-lenses to measure different quantum schemes and studied the temporal modes of correlated photons with high temporal resolution. We developed temporal schemes based on quantum light, for realizing quantum tomography in the time-domain. We developed low-resolution time-lenses for weak quantum measurements. Finally, we suggest how quantum time-lens can lead to optical deep learning systems. In the talk, I will give an overview of the different types of quantum temporal schemes, elaborate on the future challenges in the field, and discuss the prospects and future applications which may be possible.

Chemotherapy is the gold standard for cancer treatment. However, the specific and safe delivery of chemotherapies to cancer cells remains a great challenge. Gold nanoparticles (GNPs) offer a promising solution as carriers for chemotherapy due to their biocompatibility and distinctive physicochemical properties that facilitate precise drug binding and enhanced tumor penetration through the enhanced permeability and retention effect. Here, we have designed GNPs bound to chemotherapies together with glucose coating and studied their cancer cell killing efficacy in a head and neck squamous cell carcinoma cell line. We found that the GNPs bound to chemotherapy had a higher cancer cell killing efficacy as compared to controls, as well as a bystander effect. This GNP-based platform holds promise, for advancing chemotherapy-based cancer treatments.

The COVID-19 pandemic has emphasized the inability of diagnostic laboratories' testing capacity to keep up with the surging demand. The primary reasons were the lack of reagents (e.g., viral transport media and nucleic acid extraction kits) and the low throughput of the gold-standard molecular detection method (RT-qPCR). While the reagent shortages were eventually resolved, the limited throughput of the RT-qPCR remains a bottleneck for high-throughput testing applications even today. Here, we introduce a rapid saliva-based extraction-free molecular assay, which utilizes a non-invasive saliva sampling and extraction-free sample preparation, a fast endpoint RT-PCR and a high-throughput optical modulation biosensing (ht-OMBi) detection platform. We blindly tested 364 paired nasopharyngeal swabs and saliva samples from suspected SARS-CoV-2 cases in Israel. Compared with the gold standard swab …

Significance Glaucoma, a leading cause of global blindness, disproportionately affects low-income regions due to expensive diagnostic methods. Affordable intraocular pressure (IOP) measurement is crucial for early detection, especially in low- and middle-income countries. Aim We developed a remote photonic IOP biomonitoring method by deep learning of the speckle patterns reflected from an eye sclera stimulated by a sound source. We aimed to achieve precise IOP measurements. Approach IOP was artificially raised in 24 pig eyeballs, considered similar to human eyes, to apply our biomonitoring method. By deep learning of the speckle pattern videos, we analyzed the data for accurate IOP determination. Results Our method demonstrated the possibility of high-precision IOP measurements. Deep learning effectively analyzed the speckle patterns, enabling accurate IOP determination, with the potential for global …

Vertical growth of Zn crystals is widely recognized as a primary factor responsible for the premature failure of aqueous Zn batteries. These vertically aligned sharp-tipped Zn plates can easily pierce the separator, propagating toward the cathode side, and short-circuit the cell. While inhibition of this phenomenon may be achieved by electrolyte engineering or manipulation of the anode’s interface, we propose herein an effective suppression of vertical Zn growth by replacing the conventional separators with highly affordable commercially available printing paper. Based on electrochemical and structural studies followed by small punch measurements, we found that these papers comprise nanometric rigid ceramic particles that act as a physical barrier for the growth of Zn plates, preventing their penetration through the paper-based separator. As a result, the examined cells demonstrate excellent long-term performance …

Liposomes, self-assembled lipid-based nanoparticles, have gained significant attention due to their versatility and potential applications in various biomedical fields. They serve as promising platforms for targeted drug delivery, imaging, and therapeutics. Among the various types of liposomes, radiolabeled liposomes have attracted considerable interest due to their unique capabilities in both therapy and imaging. In therapy, radiolabeled liposomes can effectively transport therapeutic radioactive agents directly to disease sites, allowing for precise and localized treatment. In imaging, radiolabeling enables non-invasive visualization and tracking of liposomes, providing valuable diagnostic information. In this study, we present a technique for surface radiolabeling of liposomes, achieved by introducing a chelating agent onto the liposome surface and optimizing radiolabeling conditions for desired radionuclides …

Superconducting non-granular quasi-one-dimensional (1D) NbN nanowires and relatively wide granular wires of the same material exhibit similar magneto-transport behavior arising from different physical origin. Both types of wires exhibit a broad transition into the superconducting state with non-vanishing resistance well below Tc, and negative magnetoresistance (nMR) decreasing in magnitude with temperature. A distinct behavior between the two wires is revealed in their response to increasing current. In V-I measurements, the 1D wires exhibit finite initial slope, i.e., zero critical current, at all temperatures below the transition, while the granular wires exhibit a nonzero critical current that depends on temperature. Also, the two wires differ from each other in the current dependence of the nMR. In the 1D wires, at low temperature, the nMR decreases monotonically with the current, while in the granular wires the …

Visualizing the current distribution in materials is a powerful tool to investigate and understand unconventional transport they exhibit. In the present work, we study a few microns thick devices of the layered chalcogenide material 1T-TaS 2. Pulsed DC excitation of the commensurate charge density wave (CCDW) phase in the system leads to a controllable, non-volatile, resistance-switching states. We use scanning SQUID microscopy to image, in-situ, the local current density map by mapping the field generated by the current flow. The images reveal the presence of electrical domains in the device and their effect on the current flow.

Traditional methods for measuring blood oxygen use multiple wavelengths, which produce an intrinsic error due to ratiometric measurements. These methods assume that the absorption changes with the wavelength, but in fact the scattering changes as well and cannot be neglected. We found that if one measures in a specific angle around a cylindrical tissue, called the iso-pathlength (IPL) point, the reemitted light intensity is unaffected by the tissue’s scattering. Therefore, the absorption can be isolated from the scattering, which allows the extraction of the subject’s oxygen saturation. In this work, we designed an optical biosensor for reading the light intensity reemitted from the tissue, using a single light source and multiple photodetectors (PDs), with one of them in the IPL point’s location. Using this bio-device, we developed a methodology to extract the arterial oxygen saturation using a single wavelength light source. We proved this method is not dependent on the light source and is applicable to different measurement locations on the body, with an error of 0.5%. Moreover, we tested thirty-eight males and females with the biosensor under normal conditions. Finally, we show the results of measuring subjects in a hypoxic chamber that simulates extreme conditions with low oxygen.