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Cell tracking is an essential tool in live-cell imaging to determine single-cell features, such as division patterns or elongation rates. Unlike in common multiple object tracking, in microbial live-cell experiments cells are growing,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-20 Karina Ruzaeva , Jan-Christopher Cohrs , Keitaro Kasahara , Dietrich Kohlheyer , Katharina Nöh , Benjamin Berkels

Scanning transmission electron microscopy (STEM) provides high-resolution visualization of atomic structures as well as various functional imaging modes utilizing phase contrast. In this study we introduce a semicircular aperture in STEM…

Cells grown in culture act as a model system for analyzing the effects of anticancer compounds, which may affect cell behavior in a cell cycle position-dependent manner. Cell synchronization techniques have been generally employed to…

Analysis of PDEs · Mathematics 2019-02-28 Pierre Gabriel , Shawn P. Garbett , Vito Quaranta , Darren R. Tyson , Glenn F. Webb

Cancer is an epidemic worldwide. At present one in four persons has cancer and this statistic will change to one in a two person in the near future. It is now known that war against cancer is the early, curable detection and treatment.…

Tissues and Organs · Quantitative Biology 2017-10-03 Shiva Bhandari , Sri Choudannavar , Ethan Avery , Peeyush Sahay , Prabhakar Pradhan

The in vitro clonogenic assay is a technique to study the ability of a cell to form a colony in a culture dish. By optical imaging, dishes with stained colonies can be scanned and assessed digitally. Identification, segmentation and…

Computer Vision and Pattern Recognition · Computer Science 2022-02-15 Delmon Arous , Stefan Schrunner , Ingunn Hanson , Nina F. J. Edin , Eirik Malinen

Early detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating and segmenting polyp…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Jiaxin Mei , Tao Zhou , Kaiwen Huang , Yizhe Zhang , Yi Zhou , Ye Wu , Huazhu Fu

In the current technological era, the medical profession has emerged as one of the researchers' favorite subject areas, and cancer is one of them. Because there is now no effective treatment for this illness, it is a matter of concern. Only…

Machine Learning · Computer Science 2024-10-23 Praneeth Kumar T , Nidhi Srivastava , Rakshith Mahishi , Chayadevi M L

Computer vision technology is widely used in biological and medical data analysis and understanding. However, there are still two major bottlenecks in the field of cell membrane segmentation, which seriously hinder further research: lack of…

Computer Vision and Pattern Recognition · Computer Science 2020-10-19 Ruohua Shi , Wenyao Wang , Zhixuan Li , Liuyuan He , Kaiwen Sheng , Lei Ma , Kai Du , Tingting Jiang , Tiejun Huang

Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a valuable tool to localize, characterize, and evaluate anomalous prostate tissue. Ultrafast gradient-echo acquisitions of MRI volumes are generated at regular time intervals…

Medical Physics · Physics 2017-10-11 Wuilian Torres , Leonardo Cordero , Miguel Martín-Landrove , Antonio Rueda-Toicen

Investigation of cell structure is hardly imaginable without bright-field microscopy. Numerous modifications such as depth-wise scanning or videoenhancement make this method being state-of-the-art. This raises a question what maximal…

Image and Video Processing · Electrical Eng. & Systems 2020-10-29 Kirill Lonhus , Renata Rychtarikova , Ganna Platonova , Dalibor Stys

Historically, matrix projection models (MPMs) have been employed to study population dynamics with regard to size, age or structure. To work with continuous traits, in the past decade, integral projection models (IPMs) have been proposed.…

Methodology · Statistics 2013-12-30 Alan E. Gelfand , Souparno Ghosh , James S. Clark

The conversion of phase variations in an optical wavefield into intensity information is of fundamental importance for optical imaging technology including microscopy of biological cells. While conventional approaches to phase-imaging…

Optics · Physics 2022-09-07 Lukas Wesemann , Jon Rickett , Timothy J. Davis , Ann Roberts

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

Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted into network nodes, and each node is connected to its k-nearest…

Computer Vision and Pattern Recognition · Computer Science 2020-02-17 Fabricio Breve

Segmenting anatomical structures in medical images plays an important role in the quantitative assessment of various diseases. However, accurate segmentation becomes significantly more challenging in the presence of disease. Disease…

Image and Video Processing · Electrical Eng. & Systems 2025-06-23 Raghav Mehta , Fabio De Sousa Ribeiro , Tian Xia , Melanie Roschewitz , Ainkaran Santhirasekaram , Dominic C. Marshall , Ben Glocker

In the last five decades, iterative phase retrieval methods draw large amount of interest across the research community as a non-interferometric approach to recover quantitative phase distributions from one (or more) intensity measurement.…

Optics · Physics 2020-07-21 Nathaniel Hai , Joseph Rosen

Our research topic is Human segmentation with static camera. This topic can be divided into three sub-tasks, which are object detection, instance identification and segmentation. These sub-tasks are three closely related subjects. The…

Computer Vision and Pattern Recognition · Computer Science 2019-10-30 Jiaxin Xu , Rui Wang , Vaibhav Rakheja

Live cell microscopy sequences exhibit complex spatial structures and complicated temporal behaviour, making their analysis a challenging task. Considering cell segmentation problem, which plays a significant role in the analysis, the…

Computer Vision and Pattern Recognition · Computer Science 2019-01-08 Assaf Arbelle , Tammy Riklin Raviv

Cell imaging and analysis are fundamental to biomedical research because cells are the basic functional units of life. Among different cell-related analysis, cell counting and detection are widely used. In this paper, we focus on one common…

Computer Vision and Pattern Recognition · Computer Science 2019-04-19 Haoyi Liang , Aijaz Naik , Cedric L. Williams , Jaideep Kapur , Daniel S. Weller

Using optical speckle scanning microscopy [1], we demonstrate that clear images of multiple cells can be obtained through biological scattering tissue, with subcellular resolution and good image quality, as long as the size of the imaging…

Optics · Physics 2023-07-19 Xin Yang , Ye Pu , Demetri Psaltis
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