Yingzheng Liu

Abstract Computational spectrometers, which rely on reconstruction algorithms to decode spectral information from raw sensor data, are of potential use in portable, in-field spectrometry. However, research on such systems primarily focuses on the front-end encoding devices, and back-end decoding hardware remains limited by severe overheads. Here we report an in situ computational spectrometer implemented on a fully integrated 576-Kb memristor chip.

This Letter reports what we believe to be a novel schlieren approach with adaptive temporal resolution. The fundamental concept of this approach is to fuse an event-based camera and a low-speed frame-based camera to generate high-frame-rate videos by leveraging the strengths of both. Using a novel experimental setup, events and frames are accurately aligned in both space and time. The aligned data are then fed into a neural network to generate intermediate frames.

1 Introduction Although sortase A (SrtA) is not essential for bacterial viability, it has attracted broad interest because it functions to display a diverse array of proteins on the bacterial surfaces.[1] These displayed surface proteins interact with the immediate bacterial environment and participate in essential bacterial physiological and pathological processes, for example, biofilm formation and the mediation of host cell entry.[2] Thus, sortase A is an important virulence factor and is...