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We present a new digital holographic microscope (DHM) with a low coherent source for the quantitative imaging of smooth and optically rough objects. The experimental design of the microscope uses an in-line experimental geometry based on…

A growing need exists for efficient and accurate methods for detecting defects in semiconductor materials and devices. These defects can have a detrimental impact on the efficiency of the manufacturing process, because they cause critical…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Thibault Lechien , Enrique Dehaerne , Bappaditya Dey , Victor Blanco , Sandip Halder , Stefan De Gendt , Wannes Meert

QU-fitting is a standard model-fitting method to reconstruct distribution of magnetic fields and polarized intensity along a line of sight (LOS) from an observed polarization spectrum. In this paper, we examine the performance of QU-fitting…

Instrumentation and Methods for Astrophysics · Physics 2018-10-31 Yoshimitsu Miyashita , Shinsuke Ideguchi , Shouta Nakagawa , Takuya Akahori , Keitaro Takahashi

Perhaps surprisingly, the total electron microscopy (EM) data collected to date is less than a cubic millimeter. Consequently, there is an enormous demand in the materials and biological sciences to image at greater speed and lower dosage,…

Computer Vision and Pattern Recognition · Computer Science 2016-12-06 Suhas Sreehari , S. V. Venkatakrishnan , Katherine L. Bouman , Jeffrey P. Simmons , Lawrence F. Drummy , Charles A. Bouman

In this paper, we develop a multiscale finite element method for solving flows in fractured media. Our approach is based on Generalized Multiscale Finite Element Method (GMsFEM), where we represent the fracture effects on a coarse grid via…

Numerical Analysis · Mathematics 2015-02-16 Yalchin Efendiev , Seong Lee , Guanglian Li , Jun Yao , Na Zhang

Scanning superconducting quantum interference device microscopy (SSM) is a scanning probe technique that images local magnetic flux, which allows for mapping of magnetic fields with high field and spatial accuracy. Many studies involving…

Instrumentation and Detectors · Physics 2018-01-17 P. Reith , X. Renshaw Wang , H. Hilgenkamp

Quantum defect embedding theory (QDET) is a many-body embedding method designed to describe condensed systems with correlated electrons localized within a given region of space, for example spin defects in semiconductors and insulators.…

Materials Science · Physics 2025-08-28 Siyuan Chen , Victor Wen-zhe Yu , Yu Jin , Marco Govoni , Giulia Galli

Widefield quantum diamond microscopy (WQDM) based on Kohler-illumination has been widely adopted in the field of quantum sensing, however, practical applications are still limited by issues such as unavoidable photodamage and unsatisfied…

Optics · Physics 2023-07-28 Feng Xu , Jialong Chen , Yong Hou , Juan Cheng , Tony KC Hui , Shih-Chi Chen , Zhiqin Chu

The nitrogen vacancy (NV) center in diamond is an increasingly popular quantum sensor for microscopy of electrical current, magnetization, and spins. However, efficient NV-sample integration with a robust, high-quality interface remains an…

Modern semiconductor integrated circuits are increasingly fabricated at untrusted third party foundries. There now exist myriad security threats of malicious tampering at the hardware level and hence a clear and pressing need for new tools…

Digital holographic microscopy (DHM) applied to quantitative phase imaging (QPI) has been successfully demonstrated as a powerful label-free method to analyse the optical properties of cells. Spatially multiplexed interferometric microscopy…

Wide-field magnetic microscopy using nitrogen-vacancy (NV) centers in diamond can yield high-quality magnetic images of DC and AC magnetic fields. The unique combination of micron-scale spatial resolution of scalar or vector fields at room…

Quantitative phase microscopy (QPM) has found significant applications in the field of biomedical imaging which works on the principle of interferometry. The theory behind achieving interference in QPM with conventional light sources such…

Optics · Physics 2021-07-26 Azeem Ahmad , Nikhil Jayakumar , Balpreet Singh Ahluwalia

Solid-state quantum coherent devices are quickly progressing. Superconducting circuits, for instance, have already been used to demonstrate prototype quantum processors comprising a few tens of quantum bits. This development also revealed…

This manuscript presents the Quantum Finite Element Method (Q-FEM) developed for use in noisy intermediate-scale quantum (NISQ) computers and employs the variational quantum linear solver (VQLS) algorithm. The proposed method leverages the…

Quantum Physics · Physics 2025-04-01 Abhishek Arora , Benjamin M. Ward , Caglar Oskay

Color centers in diamond are promising candidates for quantum nanosensing applications. The efficient collection of the optical signal is the key to achieving high sensitivity and resolution, but it is limited by the collection optics.…

Optics · Physics 2020-09-07 Sumin Choi , Victor Leong , Gandhi Alagappan , Leonid Krivitsky

With continuous progression of Moore's Law, integrated circuit (IC) device complexity is also increasing. Scanning Electron Microscope (SEM) image based extensive defect inspection and accurate metrology extraction are two main challenges…

Computer Vision and Pattern Recognition · Computer Science 2023-08-17 Vic De Ridder , Bappaditya Dey , Sandip Halder , Bartel Van Waeyenberge

We propose a method to track signals from quadrant photodiodes (QPD) in heterodyne laser interferometers that employ digital phase-locked loops for phase readout. Instead of separately tracking the four segments from the QPD and then…

Instrumentation and Detectors · Physics 2020-11-17 Gerhard Heinzel , Miguel Dovale Álvarez , Alvise Pizzella , Nils Brause , Juan José Esteban Delgado

It has been a widely growing interest in using silicon carbide (SiC)in high-power electronic devices. Yet, SiC wafers may contain killer defects that could reduce fabrication yield and make the device fall into unexpected failures. To…

Applied Physics · Physics 2024-10-28 Jila Rafighdoost , Dmytro Kolenov , Silvania F. Pereira

With the rapid development of artificial intelligence and autonomous driving technology, the demand for semiconductors is projected to rise substantially. However, the massive expansion of semiconductor manufacturing and the development of…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 YuanFu Yang , Min Sun