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In this article, a new scanning electron microscopy (SEM) image composition technique is described, which can significantly reduce drift related image corruptions. Drift-distortion commonly causes blur and distortions in the SEM images.…

Instrumentation and Detectors · Physics 2010-08-09 Petr Cizmar , Andras E. Vladar , Michael T. Postek

Integrated silicon photonic devices, which manipulate light to transmit and process information on a silicon-on-insulator chip, are highly sensitive to structural variations. Minor deviations during nanofabrication-the precise process of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Rambod Azimi , Yijian Kong , Dusan Gostimirovic , James J. Clark , Odile Liboiron-Ladouceur

Defects in crystalline materials control the properties of materials, and their characterization focuses our strategies to optimize performance. Electron microscopy has served as the backbone of our understanding of defect structure and…

Materials Science · Physics 2019-03-19 Daniel S. Gianola , T. Ben Britton , Stefan Zaefferer

Microfluidic devices offer numerous advantages in medical applications, including the capture of single cells in microwell-based platforms for genomic analysis. As the cost of sequencing decreases, the demand for high-throughput single-cell…

Computational Engineering, Finance, and Science · Computer Science 2024-09-13 Xueying Zhao , Yan Chen , Yuefu Jiang , Amie Radenbaugh , Jamie Moskwa , Devon Jensen

Detecting and analyzing various defect types in semiconductor materials is an important prerequisite for understanding the underlying mechanisms as well as tailoring the production processes. Analysis of microscopy images that reveal…

Computer Vision and Pattern Recognition · Computer Science 2024-02-22 Binh Duong Nguyen , Johannes Steiner , Peter Wellmann , Stefan Sandfeld

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…

Nondestructive evaluation (NDE) techniques are widely used to detect flaws in critical components of systems like aircraft engines, nuclear power plants and oil pipelines in order to prevent catastrophic events. Many modern NDE systems…

Methodology · Statistics 2017-02-02 Ye Tian , Ranjan Maitra , William Q. Meeker , Stephen D. Holland

This paper tackles two key challenges: detecting small, dense, and overlapping objects (a major hurdle in computer vision) and improving the quality of noisy images, especially those encountered in industrial environments. [1, 2]. Our focus…

Computer Vision and Pattern Recognition · Computer Science 2025-09-04 Oussama Messai , Abbass Zein-Eddine , Abdelouahid Bentamou , Mickaël Picq , Nicolas Duquesne , Stéphane Puydarrieux , Yann Gavet

Quality control is of vital importance during electronics production. As the methods of producing electronic circuits improve, there is an increasing chance of solder defects during assembling the printed circuit board (PCB). Many…

Image and Video Processing · Electrical Eng. & Systems 2021-03-26 Qianru Zhang , Meng Zhang , Chinthaka Gamanayake , Chau Yuen , Zehao Geng , Hirunima Jayasekara , Xuewen Zhang , Chia-wei Woo , Jenny Low , Xiang Liu

Scanning transmission electron microscopy (STEM) is now the primary tool for exploring functional materials on the atomic level. Often, features of interest are highly localized in specific regions in the material, such as ferroelectric…

Materials Science · Physics 2021-08-11 Nicole Creange , Ondrej Dyck , Rama K. Vasudevan , Maxim Ziatdinov , Sergei V. Kalinin

Automatic defect detection for 3D printing processes, which shares many characteristics with change detection problems, is a vital step for quality control of 3D printed products. However, there are some critical challenges in the current…

Computer Vision and Pattern Recognition · Computer Science 2023-08-04 Yushuo Niu , Ethan Chadwick , Anson W. K. Ma , Qian Yang

The scanning electron microscope (SEM) recordings of dynamic nano-electromechanical systems (NEMS) are difficult to analyze due to the noise caused by low frame rate, insufficient resolution and blurriness induced by applied electric…

Image and Video Processing · Electrical Eng. & Systems 2023-07-19 Ege Erdem , Berke Demiralp , Hadi S Pisheh , Peyman Firoozy , Ahmet Hakan Karakurt , M. Selim Hanay

Integrated circuit manufacturing is highly complex, comprising hundreds of process steps. Defects can arise at any stage, causing yield loss and ultimately degrading product reliability. Supervised methods require extensive human annotation…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Botong. Zhao , Xubin. Wang , Shujing. Lyu , Yue. Lu

In light of globalized hardware supply chains, the assurance of hardware components has gained significant interest, particularly in cryptographic applications and high-stakes scenarios. Identifying metal lines on scanning electron…

Cryptography and Security · Computer Science 2026-03-18 Christian Gehrmann , Jonas Ricker , Simon Damm , Deruo Cheng , Julian Speith , Yiqiong Shi , Asja Fischer , Christof Paar

The Scanning electron microscope (SEM) and Electron-Dispersive Spectroscope (EDS) are two highly effective instruments in the field of nanoscience and nanotechnology. The quality of these instruments is determined by various factors, with…

Applied Physics · Physics 2023-10-24 Hamidreza Moradi , Fatemeh Mehradnia

Defect engineering has been profoundly employed to confer desirable functionality to materials that pristine lattices inherently lack. Although single atomic-resolution scanning transmission electron microscopy (STEM) images are widely…

Scanning electron microscopy (SEM) is a versatile technique used to image samples at the nanoscale. Conventional imaging by this technique relies on finding the average intensity of the signal generated on a detector by secondary electrons…

Instrumentation and Detectors · Physics 2021-11-04 Akshay Agarwal , John Simonaitis , Vivek K. Goyal , Karl K. Berggren

To coupe with the difficulties in the process of inspection and classification of defects in Printed Circuit Board (PCB), other researchers have proposed many methods. However, few of them published their dataset before, which hindered the…

Computer Vision and Pattern Recognition · Computer Science 2019-01-25 Weibo Huang , Peng Wei

In electronics manufacturing, solder joint defects are a common problem affecting a variety of printed circuit board components. To identify and correct solder joint defects, the solder joints on a circuit board are typically inspected…

Computer Vision and Pattern Recognition · Computer Science 2022-11-21 Hayden Gunraj , Paul Guerrier , Sheldon Fernandez , Alexander Wong

In semiconductor manufacturing, wafer defect maps (WDMs) play a crucial role in diagnosing issues and enhancing process yields by revealing critical defect patterns. However, accurately categorizing WDM defects presents significant…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Yin-Yin Bao , Er-Chao Li , Hong-Qiang Yang , Bin-Bin Jia