High Sound Pressure Piezoelectric Micromachined Ultrasonic Transducers Using Sputtered Potassium Sodium Niobate

Advances in High Sound Pressure Piezoelectric Micromachined Ultrasonic Transducers Academic Background Ultrasonic transducers are widely used in object detection, non-destructive testing (NDT), biomedical imaging, and therapeutic treatments. Compared to traditional bulk ultrasonic transducers, piezoelectric micromachined ultrasonic transducers (PMU...

Root-Inspired, Template-Confined Additive Printing for Fabricating High-Robust Conformal Electronics

Root-Inspired, Template-Constrained Additive Printing for Fabricating Highly Robust Conformal Electronics Academic Background With the rapid development of emerging application scenarios such as smart robotics, smart skins, and integrated sensing systems, the application of conformal electronic devices on freeform surfaces has become crucial. Howev...

Revolutionary Self-Powered Transducing Mechanism for Long-Lasting and Stable Glucose Monitoring: Achieving Selective and Sensitive Bacterial Endospore Germination in Microengineered Paper-Based Platforms

Revolutionary Self-Powered Glucose Monitoring Mechanism: Microengineered Paper-Based Platform with Microbial Spores Academic Background Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels, which can lead to severe complications such as cardiovascular diseases, retinopathy, kidney failure, and neuropathy. The glob...

Automated Analysis of Ultrastructure through Large-Scale Hyperspectral Electron Microscopy

Automated Analysis of Ultrastructure through Large-Scale Hyperspectral Electron Microscopy

Automated Analysis of Ultrastructure: A Study Based on Large-Scale Hyperspectral Electron Microscopy Academic Background Electron Microscopy (EM) is a key technique for studying biological ultrastructure, revealing the fine details of cells at biomolecular resolution. In recent years, advancements in automation and digitization have enabled EM to c...

Coupling the Thermal Acoustic Modes of a Bubble to an Optomechanical Sensor

Coupling the Thermal Acoustic Modes of a Bubble to an Optomechanical Sensor Academic Background The acoustic behavior of bubbles in liquids has long been a significant research topic in physics and engineering. The vibrational modes of bubbles are not only closely related to acoustic phenomena in nature but also have broad applications in fields su...

Putting Piezoelectric Sensors into Fano Resonances

Piezoelectric resonance sensors are widely used in chemical and biological sensing applications. They operate by detecting the resonant frequency shift of piezoelectric resonators caused by the deposition of analytes on their surfaces. To detect minute changes in analytes, resonators require a high quality factor (Q factor). Traditionally, methods ...

Fiber Optics-Based Surface Enhanced Raman Spectroscopy Sensors for Rapid Multiplex Detection of Foodborne Pathogens in Raw Poultry

Fiber Optics-Based Surface Enhanced Raman Spectroscopy Sensors for Rapid Multiplex Detection of Foodborne Pathogens in Raw Poultry Academic Background Foodborne illnesses are a significant global public health challenge, with Salmonella being one of the leading pathogens causing such diseases. In the United States alone, Salmonella results in 1.35 ...

Fabrication and In Vivo Testing of a Sub-mm Duckbill Valve for Hydrocephalus Treatment

Fabrication and In Vivo Testing of a Sub-mm Duckbill Valve for Hydrocephalus Treatment Academic Background Hydrocephalus is a complex pathological condition characterized by the accumulation of cerebrospinal fluid (CSF) in the cranium due to an imbalance between CSF production and absorption. This accumulation leads to increased intracranial pressu...

Ultrahigh-Field Animal MRI System with Advanced Technological Update

Technological Updates in Ultrahigh-Field Animal MRI Systems Academic Background Animal magnetic resonance imaging (MRI) systems play a crucial role in preclinical research, typically offering superior imaging performance compared to conventional human MRI systems. However, achieving high performance in these systems is challenging due to the multif...

Robust Self-Supervised Denoising of Voltage Imaging Data Using CellMincer

Academic Background Voltage imaging is a powerful technique for studying neuronal activity, but its effectiveness is often constrained by low signal-to-noise ratios (SNR). Traditional denoising methods, such as matrix factorization, impose rigid assumptions about noise and signal structures, while existing deep learning approaches fail to fully cap...