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The characterization and analysis of microstructure is the foundation of microstructural science, connecting the materials structure to its composition, process history, and properties. Microstructural quantification traditionally involves…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Elizabeth A. Holm , Ryan Cohn , Nan Gao , Andrew R. Kitahara , Thomas P. Matson , Bo Lei , Srujana Rao Yarasi

Studying the growth and metabolism of microbes provides critical insights into their evolutionary adaptations to harsh environments, which are essential for microbial research and biotechnology applications. In this study, we developed an…

Image and Video Processing · Electrical Eng. & Systems 2025-05-06 Shuang Zhang , Carleton Coffin , Karyn L. Rogers , Catherine Ann Royer , Ge Wang

Atomistic simulations have become a powerful tool in materials research due to the extremely fine spatial and temporal resolution provided by such techniques. In order to understand the fundamental principles which govern material behavior…

Materials Science · Physics 2014-08-26 Jason F. Panzarino , Timothy J. Rupert

Segmentation and analysis of individual pores and grains of mudrocks from scanning electron microscope images is non-trivial because of noise, imaging artifacts, variation in pixel grayscale values across images, and overlaps in grayscale…

Computer Vision and Pattern Recognition · Computer Science 2022-01-02 Abhishek Bihani , Hugh Daigle , Javier E. Santos , Christopher Landry , Masa Prodanovic , Kitty Milliken

Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction is extensively used to reveal structural information of macromolecular complexes. Aiming at the highest achievable resolution, state of the art electron…

Computer Vision and Pattern Recognition · Computer Science 2020-05-04 Ramin Norousi , Stephan Wickles , Thomas Becker , Roland Beckmann , Volker J. Schmid , Achim Tresch

Objectives: An increasing number of CAD/CAM (computer-aided design/computer-aided manufacturing) hybrid materials have been introduced to the dental market in recent years. In addition, CAD/CAM hybrid materials for additive manufacturing…

The recent surge in the adoption of machine learning techniques for materials design, discovery, and characterization has resulted in an increased interest and application of Image Driven Machine Learning (IDML) approaches. In this work, we…

Materials Science · Physics 2021-05-21 Arun Baskaran , Elizabeth J. Kautz , Aritra Chowdhary , Wufei Ma , Bulent Yener , Daniel J. Lewis

Rapidly determining structure-property correlations in materials is an important challenge in better understanding fundamental mechanisms and greatly assists in materials design. In microscopy, imaging data provides a direct measurement of…

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…

Biofouling is a major challenge for sustainable shipping, filter membranes, heat exchangers, and medical devices. The development of fouling-resistant coatings requires the evaluation of their effectiveness. Such an evaluation is usually…

The microstructure analyses of porous media have considerable research value for the study of macroscopic properties. As the premise of conducting these analyses, the accurate reconstruction of microstructure digital model is also an…

Image and Video Processing · Electrical Eng. & Systems 2023-04-26 Zhenchuan Ma , Xiaohai He , Pengcheng Yan , Fan Zhang , Qizhi Teng

Ring artifacts in X-ray micro-CT images are one of the primary causes of concern in their accurate visual interpretation and quantitative analysis. The geometry of X-ray micro-CT scanners is similar to the medical CT machines, except the…

Image and Video Processing · Electrical Eng. & Systems 2024-02-12 Dhruvi Shah , Shruti Mehta , Ashish Agrawal , Shishir Purohit , Bhaskar Chaudhury

Adhesion is a fundamental phenomenon that plays a role in many engineering and biological applications. This paper concerns the use of machine learning to characterize the effective adhesive properties when a thin film is peeled from a…

Applied Physics · Physics 2023-09-04 Maximo Cravero Baraja , Kaushik Bhattacharya

Fingerprint mosaicking, which is the process of combining multiple fingerprint images into a single master fingerprint, is an essential process in modern biometric systems. However, it is prone to errors that can significantly degrade…

Computer Vision and Pattern Recognition · Computer Science 2025-01-10 Laurenz Ruzicka , Alexander Spenke , Stephan Bergmann , Gerd Nolden , Bernhard Kohn , Clemens Heitzinger

Porous materials are widely used in different applications, in particular they are used to create various filters. Their quality depends on parameters that characterize the internal structure such as porosity, permeability and so on.…

Computer Vision and Pattern Recognition · Computer Science 2019-10-18 V. Kokhan , M. Grigoriev , A. Buzmakov , V. Uvarov , A. Ingacheva , E. Shvets , M. Chukalina

Progress in functional materials discovery has been accelerated by advances in high throughput materials synthesis and by the development of high-throughput computation. However, a complementary robust and high throughput structural…

Materials Science · Physics 2021-11-30 Jiadong Dan , Xiaoxu Zhao , Shoucong Ning , Jiong Lu , Kian Ping Loh , N. Duane Loh , Stephen J. Pennycook

Machine learning has emerged as a powerful tool for the analysis of mesoscopic and atomically resolved images and spectroscopy in electron and scanning probe microscopy, with the applications ranging from feature extraction to information…

Many emerging applications in microscale engineering rely on the fabrication of three-dimensional architectures in inorganic materials. Small-scale additive manufacturing (AM) aspires to provide flexible and facile access to these…

Morphology of mitochondria plays critical roles in mediating their physiological functions. Accurate segmentation of mitochondria from 3D electron microscopy (EM) images is essential to quantitative characterization of their morphology at…

Computer Vision and Pattern Recognition · Computer Science 2022-06-16 Yunpeng Xiao , Youpeng Zhao , Ge Yang

The research and development cycle of advanced manufacturing processes traditionally requires a large investment of time and resources. Experiments can be expensive and are hence conducted on relatively small scales. This poses problems for…

Computer Vision and Pattern Recognition · Computer Science 2023-02-17 Scott Howland , Lara Kassab , Keerti Kappagantula , Henry Kvinge , Tegan Emerson