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We demonstrate the feasibility of coincidence measurements in a conventional transmission electron microscope, revealing the temporal correlation between electron energy loss spectroscopy (EELS) and energy dispersive X-ray (EDX)…

Instrumentation and Detectors · Physics 2019-05-01 Daen Jannis , Knut Müller-Caspary , Armand Béché , Andreas Oelsner , Johan Verbeeck

Development in lattice strain mapping using four-dimensional scanning transmission electron microscopy (4D-STEM) method now offers improved precision and feasibility. However, automatic and accurate diffraction analysis is still challenging…

Materials Science · Physics 2022-01-04 Sihan Wang , Tim Eldred , Jacob Smith , Wenpei Gao

Single-beam scanning electron microscopes (SEM) are widely used to acquire massive data sets for biomedical study, material analysis, and fabrication inspection. Datasets are typically acquired with uniform acquisition: applying the…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Lu Mi , Hao Wang , Yaron Meirovitch , Richard Schalek , Srinivas C. Turaga , Jeff W. Lichtman , Aravinthan D. T. Samuel , Nir Shavit

Exploring the structural, chemical, and physical properties of matter on the nano- and atomic scales has become possible with the recent advances in aberration-corrected electron energy-loss spectroscopy (EELS) in scanning transmission…

Directed atomic fabrication using an aberration-corrected scanning transmission electron microscope (STEM) opens new pathways for atomic engineering of functional materials. In this approach, the electron beam is used to actively alter the…

Strain has a strong effect on the properties of materials and the performance of electronic devices. Their ever shrinking size translates into a constant demand for accurate and precise measurement methods with very high spatial resolution.…

Seeking the external equitable partitions (EEPs) of networks under unknown structures is an emerging problem in network analysis. The special structure of EEPs has found widespread applications in many fields such as cluster synchronization…

Optimization and Control · Mathematics 2025-11-25 Wenshun Teng , Qingna Li

This paper investigates the problem of sampling and reconstructing bandpass signals using time encoding machine(TEM). It is shown that the sampling in principle is equivalent to periodic non-uniform sampling (PNS). Then the TEM parameters…

Information Theory · Computer Science 2023-02-16 Zhong Liu , Feng Xi , Shengyao Chen

Metal mono-chalcogenide compounds offer a large variety of electronic properties depending on chemical composition, number of layers and stacking-order. Among them, the InSe has attracted much attention due to the promise of outstanding…

Efficient estimation of line spectral from quantized samples is of significant importance in information theory and signal processing, e.g., channel estimation in energy efficient massive MIMO systems and direction of arrival estimation.…

Information Theory · Computer Science 2019-09-04 Jiang Zhu , Qi Zhang , Xiangming Meng

Strong nanoscale light-matter interaction is often accompanied by ultra-confined photonic modes and large momentum polaritons existing far beyond the light cone. A direct probe of such phenomena is difficult due to the momentum mismatch of…

The diverse spectrum of material characteristics including band gap, mechanical moduli, color, phonon and electronic density of states, along with catalytic and surface properties are intricately intertwined with the atomic structure and…

Materials Science · Physics 2023-11-28 Mehmet Ali Sarsil , Mubashir Mansoor , Mert Saracoglu , Servet Timur , Mustafa Urgen , Onur Ergen

The absence of robust segmentation frameworks for noisy liquid phase transmission electron microscopy (LPTEM) videos prevents reliable extraction of particle trajectories, creating a major barrier to quantitative analysis and to connecting…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Alexander Wang , Max Xu , Risha Goel , Zain Shabeeb , Isabel Panicker , Vida Jamali

Electron energy-loss spectroscopy (EELS) is a powerful tool for imaging chemical variations at the nanoscale. Here, we investigate a polymer/organic small molecule-blend used as absorber layer in an organic solar cell and employ EELS for…

Scanning electron microscopy (SEM) has been widely utilized in the field of materials science due to its significant advantages, such as large depth of field, wide field of view, and excellent stereoscopic imaging. However, at high…

Due to the increasing demand for low power and higher sampling rates, low resolution quantization for data acquisition has drawn great attention recently. Consequently, line spectral estimation (LSE) with multiple measurement vectors (MMVs)…

Signal Processing · Electrical Eng. & Systems 2022-06-08 Ning Zhang , Jiang Zhu , Zhiwei Xu

As the continual experimental advances made in Electron energy loss spectroscopy (EELS) and cathodoluminescence (CL) open the door to practical exploitations of plasmonic effects in metal nanoparticles, there is an increasing need for…

Mesoscale and Nanoscale Physics · Physics 2016-05-31 Yu Luo , Matthias Kraft , J. B. Pendry

Scanning Transmission Electron Microscopes (STEMs) acquire 2D images of a 3D sample on the scale of individual cell components. Unfortunately, these 2D images can be too noisy to be fused into a useful 3D structure and facilitating good…

Image and Video Processing · Electrical Eng. & Systems 2022-03-30 Hannah Kniesel , Timo Ropinski , Tim Bergner , Kavitha Shaga Devan , Clarissa Read , Paul Walther , Tobias Ritschel , Pedro Hermosilla

Low voltage transmission electron microscopy (<=80 kV) has many applications in imaging beam-sensitive samples, such as metallic nanoparticles, which may become damaged at higher voltages. To improve resolution, spherical aberration can be…

Instrumentation and Detectors · Physics 2022-07-27 Frances Quigley , Patrick McBean , Peter O'Donovan , Jonathan J. P. Peters , Lewys Jones

Data acquired from multi-channel sensors is a highly valuable asset to interpret the environment for a variety of remote sensing applications. However, low spatial resolution is a critical limitation for previous sensors and the constituent…

Computer Vision and Pattern Recognition · Computer Science 2018-07-17 Savas Ozkan , Berk Kaya , Gozde Bozdagi Akar
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