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Scanning transmission electron microscopy (STEM) provides high-resolution visualization of atomic structures as well as various functional imaging modes utilizing phase contrast. In this study we introduce a semicircular aperture in STEM…

Imaging sites around the world generate growing amounts of medical scan data with ever more versatile and affordable technology. Large-scale studies acquire MRI for tens of thousands of participants, together with metadata ranging from…

Machine Learning · Computer Science 2024-04-23 Taro Langner

Transmission electron microscopy (TEM) is a powerful imaging tool that has found broad application in materials science, nanoscience and biology(1-3). With the introduction of aberration-corrected electron lenses, both the spatial…

Ultra-fast transmission electron microscopy (UTEM) combines sub-picosecond time-resolution with the versatility of TEM spectroscopies. It allows one to study the dynamics of materials properties combining complementary techniques. However,…

Materials Science · Physics 2021-08-25 S. Meuret , L. H. G. Tizei , F. Houdellier , S. Weber , Y. Auad , M. Tencé , H. -C. Chang , M. Kociak , A. Arbouet

Electron beam-induced current (EBIC) imaging in the scanning transmission electron microscope (STEM), STEM-EBIC, provides direct access to carrier transport at the nanoscale. While well established in bulk SEM geometries, its application to…

Mesoscale and Nanoscale Physics · Physics 2025-11-17 Sebastian Schneider , Sebastian Beckert , René Hammer , Markus König , Grigore Moldovan , Darius Pohl

Scanning electron microscopy (SEM), a century-old technique, is today a ubiquitous method of imaging the surface of nanostructures. However, most SEM detectors simply count the number of secondary electrons from a material of interest, and…

The transmission matrix (TM) is a representation to describe the light scattering process through a scattering medium. The degree of control elements in TM is correlated with the capacity of evaluating enormous equations with tremendous…

Optics · Physics 2020-11-25 Shu Guo , Hao Zhang , Wenxue Li , Lin Pang

The field of microelectromechanical Systems (MEMS) for photonic integrated circuits (PICs) is reviewed. This field leverages mechanics at the nanometer to micrometer scale to improve existing components and introduce novel functionalities…

The transmission electron microscope facilitates the highest-resolution imaging of any instrument ever created, and its limiting factor is no longer spatial resolution but dose efficiency. Low electron doses avoid sample damage but produce…

Machine Learning · Computer Science 2026-05-08 Georgia Channing , Debora Keller , Marta D. Rossell , Philip Torr , Stig Helveg , Henrik Eliasson

Fine structure analysis of core electron excitation spectra is a cornerstone characterization technique across the physical sciences. Spectra are most commonly measured with synchrotron radiation and X-ray spot sizes on the {\mu}m to mm…

Machine learning has now become an integral part of research and innovation. The field of machine learning density functional theory has continuously expanded over the years while making several noticeable advances. We briefly discuss the…

Chemical Physics · Physics 2021-12-13 Bhupalee Kalita , Kieron Burke

The use of high-frequency bands, combined with antenna arrays containing an extremely large number of elements (XL-MIMO), is pushing current technology to its limits in terms of hardware complexity, latency, and power consumption. A…

Signal Processing · Electrical Eng. & Systems 2025-12-05 Mattia Fabiani , Giulia Torcolacci , Davide Dardari

Transmission electron microscopy at very low energy is a promising way to avoid damaging delicate biological samples with the incident electrons, a known problem in conventional transmission electron microscopy. For imaging in the 0-30 eV…

Materials Science · Physics 2020-09-22 Peter S. Neu , Daniël Geelen , Aniket Thete , Rudolf M. Tromp , Sense Jan van der Molen

Three-dimensional electron diffraction (3D ED) has emerged as a powerful method for solving the structures of sub-micron-sized particles down to nanoparticles. However, it faces technical challenges when applied to beam-sensitive samples or…

We explore the possibility for the reconstruction of the generative physical models describing interactions between atomic units in solids from observational electron microscopy data. Here, scanning transmission electron microscopy (STEM)…

Materials Science · Physics 2021-02-02 M. Chakraborty , M. Ziatdinov , O. Dyck , S. Jesse , A. D. White , S. V. Kalinin

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

We present feasibility study of an accelerator-based ultrafast transmission electron microscope (u-TEM) capable of producing a full field image in a single-shot with simultaneous picosecond temporal resolution and nanometer spatial…

Accelerator Physics · Physics 2014-06-11 D. Xiang , F. Fu , J. Zhang , X. Huang , L. Wang , X. Wang , W. Wan

Fast pixelated detectors incorporating direct electron detection (DED) technology are increasingly being regarded as universal detectors for scanning transmission electron microscopy (STEM), capable of imaging under multiple modes of…

Transition-edge sensors (TESs) are capable of highly accurate single particle energy measurement. TESs have been used for a wide range of photon detection applications, particularly in astronomy, but very little consideration has been given…

Instrumentation and Detectors · Physics 2023-05-11 K. M. Patel , S. Withington , C. N. Thomas , A. G. Shard , D. J. Goldie

Semiconductor imaging and analysis are critical yet understudied in deep learning, limiting our ability for precise control and optimization in semiconductor manufacturing. We introduce a small-scale multimodal framework for analyzing…

Computer Vision and Pattern Recognition · Computer Science 2024-08-26 Sakhinana Sagar Srinivas , Chidaksh Ravuru , Geethan Sannidhi , Venkataramana Runkana