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Three-dimensional (3D) imaging of thin, extended specimens at nanometer resolution is critical for applications in biology, materials science, advanced synthesis, and manufacturing. One route to 3D imaging is tomography, which requires a…

Instrumentation and Detectors · Physics 2023-10-23 Deepan Balakrishnan , See Wee Chee , Zhaslan Baraissov , Michel Bosman , Utkur Mirsaidov , N. Duane Loh

Reconstruction based on the stereo camera has received considerable attention recently, but two particular challenges still remain. The first concerns the need to aggregate similar pixels in an effective approach, and the second is to…

Computer Vision and Pattern Recognition · Computer Science 2017-03-31 Lei Fan , Ziyu Pan , Long Chen , Kai Huang

Recent advances in electron microscopy have enabled the imaging of single cells in 3D at nanometer length scale resolutions. An uncharted frontier for in silico biology is the ability to simulate cellular processes using these observed…

Chemical imaging enables label-free visualization of cells, tissues and living systems while providing direct biochemical information that is difficult to obtain with conventional fluorescence microscopy. Despite its promise in applications…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Yongkang Li , Brian Wong , King Wai Chiu , Hanwen Xu , Tangqi Fang , Erin Dunnington , Dan Fu , Sheng Wang

Leaky radiation microscopy (LRM) is used to directly image the surface plasmon-coupled emission (SPCE). When compared with the prism based set-up commonly used in SPCE research, LRM has the advantages of directly giving out the emitting…

Optics · Physics 2015-05-14 D. G. Zhang , X. -C. Yuan , A. Bouhelier

Polarization microscopy provides insights into the structure and orientational organization of biomolecules and their architectures in cells. The above key functional signatures, which are natively 3D, can be only detected in 2D for a…

We present a new technique for obtaining simultaneous multimodal quantitative phase and fluorescence microscopy of biological cells, providing both quantitative phase imaging and molecular specificity using a single camera. Our system is…

Optics · Physics 2019-04-03 Yoav N. Nygate , Gyanendra Singh , Itay Barnea , Natan T. Shaked

3D spatial graphs play a crucial role in biological and clinical research by modeling anatomical networks such as blood vessels,neurons, and airways. However, generating 3D biological graphs while maintaining anatomical validity remains…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Chinmay Prabhakar , Suprosanna Shit , Tamaz Amiranashvili , Hongwei Bran Li , Bjoern Menze

The acquisition of multi-view information of cells is essential for accurate 3D reconstruction of their structures. Rotational manipulation of cells has emerged as an effective technique for obtaining such data. However, most reported…

Optics · Physics 2025-06-10 Yiwei Pan , Yijing Wu , Ziqiang Wang , Yinmei Li , Lei Gong

Essential for improving the accuracy and reliability of bowel cancer screening, three-dimensional (3D) surface reconstruction using capsule endoscopy (CE) images remains challenging due to CE hardware and software limitations. This report…

Computer Vision and Pattern Recognition · Computer Science 2023-07-31 Olivier Rukundo

Current in vivo microscopy allows us detailed spatiotemporal imaging (3D+t) of complete organisms and offers insights into their development on the cellular level. Even though the imaging speed and quality is steadily improving,…

Image and Video Processing · Electrical Eng. & Systems 2020-01-31 Sourabh Bhide , Ralf Mikut , Maria Leptin , Johannes Stegmaier

One of the major challenges in biology concerns the integration of data across length and time scales into a consistent framework: how do macroscopic properties and functionalities arise from the molecular regulatory networks - and how can…

Computational Engineering, Finance, and Science · Computer Science 2015-10-20 Dagmar Iber , Zahra Karimaddini , Erkan Ünal

We consider the problem of accurately identifying cell boundaries and labeling individual cells in confocal microscopy images, specifically, 3D image stacks of cells with tagged cell membranes. Precise identification of cell boundaries,…

Computer Vision and Pattern Recognition · Computer Science 2019-09-06 Jiaxiang Jiang , Po-Yu Kao , Samuel A. Belteton , Daniel B. Szymanski , B. S. Manjunath

Signal transduction and cell function are governed by the spatiotemporal organization of membrane-associated molecules. Despite significant advances in visualizing molecular distributions by 3D light microscopy, cell biologists still have…

Quantitative Methods · Quantitative Biology 2023-04-14 Felix Y. Zhou , Andrew Weems , Gabriel M. Gihana , Bingying Chen , Bo-Jui Chang , Meghan Driscoll , Gaudenz Danuser

We propose a three-dimensional (3D) multimodal medical imaging system that combines freehand ultrasound and structured light 3D reconstruction in a single coordinate system without requiring registration. To the best of our knowledge, these…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Jhacson Meza , Sonia H. Contreras-Ortiz , Lenny A. Romero , Andres G. Marrugo

Fluorescence imaging is the most widely used method for unveiling the molecular composition of biological specimens. However, the weak optical emission of fluorescent probes and the tradeoff between imaging speed and sensitivity is…

Accurate segmentation of live cell images has broad applications in clinical and research contexts. Deep learning methods have been able to perform cell segmentations with high accuracy; however developing machine learning models to do this…

Image and Video Processing · Electrical Eng. & Systems 2022-12-06 Mayur Bhandary , J. Patricio Reyes , Eylul Ertay , Aman Panda

Thin leaves, fine stems, self-occlusion, non-rigid and slowly changing structures make plants difficult for three-dimensional (3D) scanning and reconstruction -- two critical steps in automated visual phenotyping. Many current solutions…

Computer Vision and Pattern Recognition · Computer Science 2017-02-28 Chuong V Nguyen , Jurgen Fripp , David R Lovell , Robert Furbank , Peter Kuffner , Helen Daily , Xavier Sirault

3D reconstruction of medical images is a key technology in medical image analysis and clinical diagnosis, providing structural visualization support for disease assessment and surgical planning. Traditional methods are computationally…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Bin Liu , Wenyan Tian , Huangxin Fu , Zizheng Li , Zhifen He , Bo Li

Conventional 2-D scanning electron microscopy (SEM) is commonly used to rapidly and qualitatively evaluate membrane pore structure. Quantitative 2-D analyses of pore sizes can be extracted from SEM, but without information about 3-D spatial…