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Electron microscopy has shown to be a very powerful tool to map the chemical nature of samples at various scales down to atomic resolution. However, many samples can not be analyzed with an acceptable signal-to-noise ratio because of the…

Image and Video Processing · Electrical Eng. & Systems 2018-02-28 Étienne Monier , Thomas Oberlin , Nathalie Brun , Marcel Tencé , Marta de Frutos , Nicolas Dobigeon

The central problem in cryo-electron microscopy (cryo-EM) is to recover the 3D structure from noisy 2D projection images which requires estimating the missing projection angles (poses). Recent methods attempted to solve the 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 Lin Yao , Ruihan Xu , Zhifeng Gao , Guolin Ke , Yuhang Wang

Photomosaic images are a type of images consisting of various tiny images. A complete form can be seen clearly by viewing it from a long distance. Small tiny images which replace blocks of the original image can be seen clearly by viewing…

Computer Vision and Pattern Recognition · Computer Science 2018-04-10 Yaodong He , Jianfeng Zhou , Shiu Yin Yuen

Single-particle electron cryomicroscopy is an essential tool for high-resolution 3D reconstruction of proteins and other biological macromolecules. An important challenge in cryo-EM is the reconstruction of non-rigid molecules with parts…

Image and Video Processing · Electrical Eng. & Systems 2021-05-31 Amit Moscovich , Amit Halevi , Joakim Andén , Amit Singer

Microwave-based breast cancer detection has been proposed as a complementary approach to compensate for some drawbacks of existing breast cancer detection techniques. Among the existing microwave breast cancer detection methods, machine…

Machine Learning · Statistics 2017-02-27 Hongchao Song , Yunpeng Li , Mark Coates , Aidong Men

Segmentation is one of the most important tasks in image processing. It consist in classify the pixels into two or more groups depending on their intensity levels and a threshold value. The quality of the segmentation depends on the method…

Computer Vision and Pattern Recognition · Computer Science 2014-06-25 Diego Oliva , Erik Cuevas , Gonzalo Pajares , Daniel Zaldivar , Valentin Osuna

The emerging field of connectomics aims to unlock the mysteries of the brain by understanding the connectivity between neurons. To map this connectivity, we acquire thousands of electron microscopy (EM) images with nanometer-scale…

Quantitative Methods · Quantitative Biology 2016-04-04 Stephen M. Plaza , Stuart E. Berg

This study presents a comprehensive workflow for investigating particulate materials through combined 360{\deg} electron tomography (ET), nano-computed X-ray tomography (nanoCT), and micro-computed X-ray tomography (microCT), alongside a…

Single particle reconstruction (SPR) from cryo-electron microscopy (EM) is a technique in which the 3D structure of a molecule needs to be determined from its contrast transfer function (CTF) affected, noisy 2D projection images taken at…

Applications · Statistics 2017-06-30 Tejal Bhamre , Zhizhen Zhao , Amit Singer

In the Reverse Engineering and Hardware Assurance domain, a majority of the data acquisition is done through electron microscopy techniques such as Scanning Electron Microscopy (SEM). However, unlike its counterparts in optical imaging,…

Image and Video Processing · Electrical Eng. & Systems 2020-04-30 Ronald Wilson , Navid Asadizanjani , Domenic Forte , Damon L. Woodard

The application of PhotoEmission Electron Microscopy (PEEM) and Low Energy Electron Microscopy (LEEM) techniques to the study of the electronic and chemical structure of ferroelectric materials is reviewed. Electron optics in both…

Cellular Electron CryoTomography (CECT) is a 3D imaging technique that captures information about the structure and spatial organization of macromolecular complexes within single cells, in near-native state and at sub-molecular resolution.…

Quantitative Methods · Quantitative Biology 2018-07-04 Kai Wen Wang , Xiangrui Zeng , Xiaodan Liang , Zhiguang Huo , Eric P. Xing , Min Xu

Quantitative microstructural characterization is fundamental to materials science, where electron micrograph (EM) provides indispensable high-resolution insights. However, progress in deep learning-based EM characterization has been…

Computer Vision and Pattern Recognition · Computer Science 2025-08-25 Nan wang , Zhiyi Xia , Yiming Li , Shi Tang , Zuxin Fan , Xi Fang , Haoyi Tao , Xiaochen Cai , Guolin Ke , Linfeng Zhang , Yanhui Hong

Scanning Electron Microscopes (SEMs) are widely renowned for their ability to analyze the surface structures of microscopic objects, offering the capability to capture highly detailed, yet only grayscale, images. To create more expressive…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Takuma Nishimura , Andreea Dogaru , Martin Oeggerli , Bernhard Egger

Since the introduction of Direct Electron Detectors (DEDs), the resolution and range of macromolecules amenable to this technique has significantly widened, generating a broad interest that explains the well over a dozen reviews in top…

Computer Vision and Pattern Recognition · Computer Science 2017-01-03 Carlos Oscar S. Sorzano , Jose Maria Carazo

We present {\mu}Split, a dedicated approach for trained image decomposition in the context of fluorescence microscopy images. We find that best results using regular deep architectures are achieved when large image patches are used during…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Ashesh , Alexander Krull , Moises Di Sante , Francesco Silvio Pasqualini , Florian Jug

Imaging techniques is widely used for medical diagnostics. This leads in some cases to a real bottleneck when there is a lack of medical practitioners and the images have to be manually processed. In such a situation there is a need to…

Image and Video Processing · Electrical Eng. & Systems 2019-08-16 Samuel Gunz , Svenja Erne , Eric J. Rawdon , Garyfalia Ampanozi , Till Sieberth , Raffael Affolter , Lars C. Ebert , Akos Dobay

We demonstrate improved detection of small trapped atomic ensembles through advanced post-processing and optimal analysis of absorption images. A fringe removal algorithm reduces imaging noise to the fundamental photon-shot-noise level and…

Atomic Physics · Physics 2010-12-17 C. F. Ockeloen , A. F. Tauschinsky , R. J. C. Spreeuw , S. Whitlock

Cryo-electron microscopy is a technique in structural biology for discovering/determining the 3D structure of small molecules. A key step in this process is detecting common lines of intersection between unknown embedded image planes. We…

Algebraic Geometry · Mathematics 2014-02-25 David Dynerman

Throughout the history of electron microscopy, ribosomes have served as an ideal subject for imaging and technological development, which in turn has driven our understanding of ribosomal biology. Here, we provide a historical perspective…

Biomolecules · Quantitative Biology 2023-08-31 Samantha M. Webster , Mira B. May , Barrett M. Powell , Joseph H. Davis
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