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Scanning Electron Microscopy (SEM) is pivotal in revealing intricate micro- and nanoscale features across various research fields. However, obtaining high-resolution SEM images presents challenges, including prolonged scanning durations and…

Image and Video Processing · Electrical Eng. & Systems 2024-10-08 Tom Reclik , Setareh Medghalchi , Philipp Schumacher , Maximilian Wollenweber , Talal Al-Samman , Sandra Korte-Kerzel , Ulrich Kerzel

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

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

Silicon tracking detectors have grown to cover larger surface areas up to hundreds of square meters, and are even taking over other sub-detectors, such as calorimeters. However, further improvements in tracking detector performance are more…

Instrumentation and Detectors · Physics 2023-08-09 Sungjoon Kim , Vikas Berry , Jessica Metcalfe , Anirudha V. Sumant

The recent development of electron sensitive and pixelated detectors has attracted the use of four-dimensional scanning transmission electron microscopy (4D-STEM). Here, we present a precession electron diffraction assisted 4D-STEM…

Instrumentation and Detectors · Physics 2021-10-04 Jiwon Jeong , Niels Cautaerts , Gerhard Dehm , Christian H. Liebscher

By means of numerical simulations, we demonstrate the innovative use of computational ghost imaging in transmission electron microscopy to retrieve images with a resolution that overcomes the limitations imposed by coherent aberrations. The…

Instrumentation and Detectors · Physics 2024-11-20 P. Rosi , L. Viani , E. Rotunno , S. Frabboni , A. H. Tavabi , R. E. Dunin-Borkowski , A. Roncaglia , V. Grillo

Layered materials (LMs) are at the centre of an ever increasing research effort due to their potential use in a variety of applications. The presence of imperfections, such as bi- or multilayer areas, holes, grain boundaries, isotropic and…

Cutting edge deep learning techniques allow for image segmentation with great speed and accuracy. However, application to problems in materials science is often difficult since these complex models may have difficultly learning physical…

Image and Video Processing · Electrical Eng. & Systems 2019-12-13 James P. Horwath , Dmitri N. Zakharov , Remi Megret , Eric A. Stach

To take advantage of high-resolution optics sensitive to a broad energy range, future X-ray imaging instruments will require thick detectors with small pixels. This pixel aspect ratio affects spectral response in the soft X-ray band, vital…

Modern scientific instruments operate under increasingly extreme constraints on bandwidth, latency, and power. Inference at the sensor edge determines experimental data collection efficiency by deciding which information to save for further…

For large scale applications, hybrid pixel detectors, in which sensor and read-out IC are separate entities, constitute the state of the art in pixel detector technology to date. They have been developed and start to be used as tracking…

Instrumentation and Detectors · Physics 2010-01-22 Norbert Wermes

The three scanning electron microscope diffraction based techniques of electron channelling patterns (ECPs), electron channelling contrast imaging (ECCI), and electron back scatter diffraction (EBSD) are reviewed. The dynamical diffraction…

Materials Science · Physics 2019-04-12 AJ Wilkinson , PB Hirsch

A monolithic active pixel sensor based direct detector that is optimized for the primary beam energies in scanning electron microscopes is implemented for electron back-scattered diffraction (EBSD) applications. The high detection…

With the continuing advances in scientific instrumentation, scanning microscopes are now able to image physical systems with up to sub-atomic-level spatial resolutions and sub-picosecond time resolutions. Commensurately, they are generating…

The existing segmentation techniques require high-fidelity images as input to perform semantic segmentation. Since the segmentation results contain most of edge information that is much less than the acquired images, the throughput gap…

Image and Video Processing · Electrical Eng. & Systems 2021-08-25 Haiyan Liu , Liheng Bian , Jun Zhang

Scanning transmission electron microscopy (STEM) is an indispensable tool for atomic-resolution structural analysis for a wide range of materials. The conventional analysis of STEM images is an extensive hands-on process, which limits…

This is part of a document, which is devoted to the developments of pixel detectors in the context of the International Linear Collider. From the early developments of the MIMOSAs to the proposed DotPix I recall some of the major…

Instrumentation and Detectors · Physics 2020-03-24 Nicolas Fourches , University Paris-Saclay

Accurate temperature measurement at the nanoscale is crucial for thermal management in next-generation microelectronic devices. Existing optical and scanning-probe thermometry techniques face limitations in spatial resolution, accuracy, or…

Computerized tomography (CT) has been used for decades by medical professionals to detect and diagnose injuries and ailments. CT scanners are based on interesting physics, but due to their bulk, cost, and safety, hands on experience with a…

Physics Education · Physics 2021-01-28 Vincent Daley , Owen Paetkau , Mark Paetkau

In the domain of battery research, the processing of high-resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilization of deep…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Ganesh Raghavendran , Bing Han , Fortune Adekogbe , Shuang Bai , Bingyu Lu , William Wu , Minghao Zhang , Ying Shirley Meng