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Related papers: Scanning Ultrafast Electron Microscopy: A Novel Te…

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Semiconductor heterojunctions have gained significant attention for efficient optoelectronic devices owing to their unique interfaces and synergistic effects. Interaction between charge carriers with the heterojunction plays a crucial role…

Ultrafast Electron Microscopy (UEM) has been demonstrated to be an effective table-top technique for imaging the temporally-evolving dynamics of matter with subparticle spatial resolution on the time scale of atomic motion. However, imaging…

Optics · Physics 2017-08-02 M. Th. Hassan , J. S. Baskin , B. Liao , A. H. Zewail

A new tool providing material contrast control in scanning electron microscopy (SEM) is demonstrated. The approach is based on deep-UV illumination during SEM imaging and delivers a novel material based contrast as well as higher resolution…

Instrumentation and Detectors · Physics 2016-04-07 Gediminas Seniutinas , Armandas Balcytis , Saulius Juodkazis

The ultrafast dynamics of charge carriers in solids plays a pivotal role in emerging optoelectronics, photonics, energy harvesting, and quantum technology applications. However, the investigation and direct visualization of such…

The dynamics of charge carriers in amorphous semiconductors fundamentally differ from those in crystalline semiconductors due to the lack of long-range order and the high defect density. Despite intensive technology-driven research…

Materials Science · Physics 2017-10-11 Bolin Liao , Ebrahim Najafi , Heng Li , Austin J. Minnich , Ahmed H. Zewail

Time-resolved and ultrafast electron energy-loss spectroscopy (EELS) is an emerging technique for measuring photoexcited carriers, lattice dynamics, and near-fields across femtosecond to microsecond timescales. When performed in either a…

Materials Science · Physics 2025-11-03 Wonseok Lee , Levi D. Palmer , Thomas E. Gage , Scott K. Cushing

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…

Scanning Electron Microscopy (SEM) is indispensable in modern materials science, enabling high-resolution imaging across a wide range of structural, chemical, and functional investigations. However, SEM imaging remains constrained by…

Ultrafast electron microscopy (UEM) has found widespread applications in physics, chemistry, and materials science, enabling real-space imaging of dynamics on ultrafast timescales. Recent advances have pushed the temporal resolution of UEM…

Understanding and actively controlling the spatio-temporal dynamics of non-equilibrium electron clouds is fundamental for the design of light and electron sources, novel high-power electronic devices, and plasma-based applications. However,…

Ultrafast measurement technology provides essential contributions to our microscopic understanding of the properties and functions of solids and nanostructures. Atomic-scale vistas with ever-growing spatial and temporal resolution are…

Mesoscale and Nanoscale Physics · Physics 2020-08-26 Armin Feist , Gero Storeck , Sascha Schäfer , Claus Ropers

Scanning transmission electron microscopy (STEM) has advanced rapidly in the last decade thanks to the ability to correct the major aberrations of the probe forming lens. Now atomic-sized beams are routine, even at accelerating voltages as…

Scanning electron microscopy (SEM) is indispensable in diverse applications ranging from microelectronics to food processing because it provides large depth-of-field images with a resolution beyond the optical diffraction limit. However,…

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

Atomic-scale disorder shapes the potential energy landscape traversed by photoexcited charge carriers, while the carriers themselves also dynamically reshape this landscape. However, resolving ultrafast photocarrier motion at atomic length…

Mesoscale and Nanoscale Physics · Physics 2026-04-29 Vedran Jelic , Kaedon Cleland-Host , Stefanie Adams , Mohamed Hassan , Austin Hayes , Tyler L. Cocker

The scanning electron microscope (SEM) produces an image of a sample by scanning it with a focused beam of electrons. The electrons interact with the atoms in the sample, which emit secondary electrons that contain information about the…

Computer Vision and Pattern Recognition · Computer Science 2017-09-08 Shahar Tsiper , Or Dicker , Idan Kaizerman , Zeev Zohar , Mordechai Segev , Yonina C. Eldar

The perturbation of a semiconductor from the thermodynamic equilibrium often leads to the display of nonlinear dynamics and formation of spatiotemporal patterns due to the spontaneous generation of competing processes. Here, we describe the…

Materials Science · Physics 2019-09-16 Ebrahim Najafi , Amir Jafari , Bolin Liao , Ahmed Zewail

This comprehensive review discusses the development of scanning electron microscopy and the application of this technology in different fields such as biology, nanobiotechnology and biomedical science. Besides being a tool for high…

Quantitative Methods · Quantitative Biology 2023-11-02 Aniruddha Acharya

Automated experiments in scanning transmission electron microscopy (STEM) require rapid image segmentation to optimize data representation for human interpretation, decision-making, site-selective spectroscopies, and atomic manipulation.…

Materials Science · Physics 2024-09-23 Kamyar Barakati , Utkarsh Pratiush , Austin C. Houston , Gerd Duscher , Sergei V. Kalinin

We report resolution enhancement in scanning electron microscopy (SEM) images using a generative adversarial network. We demonstrate the veracity of this deep learning-based super-resolution technique by inferring unresolved features in…

Computer Vision and Pattern Recognition · Computer Science 2019-08-21 Kevin de Haan , Zachary S. Ballard , Yair Rivenson , Yichen Wu , Aydogan Ozcan
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