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Accessing fluid infiltration in nanogranular coatings is an outstanding challenge, of relevance for applications ranging from nanomedicine to catalysis. A sensing platform, allowing to quantify the amount of fluid infiltrated in a…

Analysis of nanoscale liquids, including wetting and flow phenomena, is a scientific challenge with far reaching implications for industrial technologies. We report the conception, development, and application of an integrated platform for…

Instrumentation and Detectors · Physics 2017-11-27 M. Engel , P. W. Bryant , R. F. Neumann , R. Giro , C. Feger , P. Avouris , M. Steiner

The microfluidic probe (MFP) is a non-contact, scanning microfluidic technology for local (bio)chemical processing of surfaces based on hydrodynamically confining nanoliter volumes of liquids over tens of micrometers. We present here a…

Tissues and Organs · Quantitative Biology 2014-08-19 J. F. Cors , R. D. Lovchik , E. Delamarche , G. V. Kaigala

Non-invasive detection of objects embedded inside an optically scattering medium is essential for numerous applications in engineering and sciences. However, in most applications light at visible or near-infrared wavebands is scattered by…

Conventional pressure sensors often integrate two distinct mechanisms to detect static and dynamic stimuli, hindering the development of high fidelity human-machine interfaces. Here, we present an intrinsic static/dynamic triboelectric…

Robotics · Computer Science 2025-07-08 Kequan Xia , Song Yang , Jianguo Lu , Min Yu

In minimally invasive endovascular procedures, contrast-enhanced angiography remains the most robust imaging technique. However, it is at the expense of the patient and clinician's health due to prolonged radiation exposure. As an…

Image and Video Processing · Electrical Eng. & Systems 2024-09-11 Alex Ranne , Liming Kuang , Yordanka Velikova , Nassir Navab , Ferdinando Rodriguez y Baena

We propose a fluid-based registration framework of medical images based on implicit neural representation. By integrating implicit neural representation and Large Deformable Diffeomorphic Metric Mapping (LDDMM), we employ a Multilayer…

Image and Video Processing · Electrical Eng. & Systems 2023-11-28 Chulong Zhang , Xiaokun Liang

Event vision sensors (neuromorphic cameras) output sparse, asynchronous ON/OFF events triggered by log-intensity threshold crossings, enabling microsecond-scale sensing with high dynamic range and low data bandwidth. As a nonlinear system,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Nimrod Kruger , Nicholas Owen Ralph , Gregory Cohen , Paul Hurley

Pneumatic pressure cells with thin metallic spherical diaphragm of shallow spherical shell configuration linked with vibrating wire pickup or vibrating cantilever pickup were reported in the past. In order to enhance the sensitivity of the…

Systems and Control · Computer Science 2012-03-13 Akin Cellatoglu , Balasubramanian Karuppanan

Large-scale microfluidic microsystems with complex three-dimensional (3D) configurations are highly in demand by both fundamental research and industrial application, holding the potentials for fostering a wide range of innovative…

Applied Physics · Physics 2020-01-13 Zijie Lin , Jian Xu , Yunpeng Song , Xiaolong Li , Peng Wang , Wei Chu , Zhenhua Wang , Ya Cheng

Multimode entanglement is an essential resource for quantum information in continuous-variable systems. Light-based quantum technologies will arguably not be built upon table-top bulk setups, but will presumably rather resort to integrated…

We present a microfluidic device that enables trapping, analysis, and on-demand release of individual microparticles through membrane deformation driven by pneumatic actuation. Inspired by Pachinko-style architectures, the system features…

Applied Physics · Physics 2025-07-10 Alexandre Chargueraud , Lars Kool , Jacques Fattaccioli

Endoscopic optical coherence tomography (OCT) is a valuable tool for providing diagnostic images of internal organs and guiding interventions in real time. Miniaturized OCT endoscopes are essential for imaging small and convoluted luminal…

Instrumentation and Detectors · Physics 2023-11-28 Chao Xu , Xin Guan , Syeda Aimen Abbasi , Neng Xia , To Ngai , Li Zhang , Ho-Pui Ho , Sze Hang Calvin Ng , Wu Yuan

As two-dimensional metamaterials, metasurfaces open up new avenues for designing static planar optics. However, the dynamic modulation of metasurfaces in the optical band is required for practical applications. The existing dynamic devices…

An extended aperture has the potential to greatly improve ultrasound imaging performance. This work extends the effective aperture size by coherently compounding the received radio frequency data from multiple transducers. A framework is…

Medical Physics · Physics 2019-11-12 Laura Peralta , Alberto Gomez , Ying Luan , Baehyung Kim , Joseph V. Hajnal , Robert J. Eckersley

The development of wearable sensing systems for sports performance tracking, rehabilitation, and injury prevention has driven growing demand for smart garments that combine comfort, durability, and accurate motion detection. This paper…

Robotics · Computer Science 2026-03-20 Lukas Cha , Ryman Hashem , Ria Prakash , Tanguy Declety , Wenze Zhang , Liang He

In astronomy or biological imaging, refractive index inhomogeneities of e.g. atmosphere or tissues induce optical aberrations which degrade the desired information hidden behind the medium. A standard approach consists in measuring these…

Optics · Physics 2023-06-01 Tengfei Wu , Marc Guillon , Gilles Tessier , Pascal Berto

In this research project we propose a new composite medium, which can visualise the mechanical stress at any stage: before and after damage. The main feature of the proposed stress-tuneable composite is its permittivity (dielectric…

Materials Science · Physics 2007-05-23 L. Panina , S. Sandacci , D. Makhnovskiy

Tactile sensing plays a fundamental role in enabling robots to navigate dynamic and unstructured environments, particularly in applications such as delicate object manipulation, surface exploration, and human-robot interaction. In this…

Robotics · Computer Science 2025-09-18 Annan Zhang , Miguel Flores-Acton , Andy Yu , Anshul Gupta , Maggie Yao , Daniela Rus

The progression of deep learning and the widespread adoption of sensors have facilitated automatic multi-view fusion (MVF) about the cardiovascular system (CVS) signals. However, prevalent MVF model architecture often amalgamates CVS…

Machine Learning · Computer Science 2024-06-14 Qihan Hu , Daomiao Wang , Hong Wu , Jian Liu , Cuiwei Yang
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