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3-demensional (3D) culture model is a valuable in vitro tool to study liver biology, metabolism, organogenesis, tissue morphology, drug discovery and cell-based assays. Compelling evidence suggests that cells cultured in 3D model exhibit…

Tissues and Organs · Quantitative Biology 2019-11-20 Ting Yao , Yi Zhang , Mengjiao Lv , Guoqing Zang , Soon Seng Ng , Xiaohua Chen

Oblique plane microscopy (OPM) enables high speed, volumetric fluorescence imaging through a single-objective geometry. While these advantages have positioned OPM as a valuable tool to probe biological questions in animal models, its…

Cells and tissues are constantly exposed to various chemical and physical signals that intricately regulate various physiological and pathological processes. This study explores the integration of two biophysical methods, Traction Force…

Optical coherence tomography (OCT) is a non-invasive imaging technique that can produce images of the eye at the microscopic level. OCT image segmentation to localise retinal layer boundaries is a fundamental procedure for diagnosing and…

Computer Vision and Pattern Recognition · Computer Science 2016-09-09 Jinming Duan , Christopher Tench , Irene Gottlob , Frank Proudlock , Li Bai

Dynamic full-field optical coherence microscopy (d-FF-OCM) is a label-free imaging technique that captures intrinsic subcellular motions to generate functional contrast. This dynamic approach yields images with fluorescence-like contrast,…

Optics · Physics 2025-08-06 Erikas Tarvydas , Austeja Treciokaite , Egidijus Auksorius

Optical coherence tomography angiography (OCTA) is a novel noninvasive imaging modality for visualization of retinal blood flow in the human retina. Using specific OCTA imaging biomarkers for the identification of pathologies, automated…

Image and Video Processing · Electrical Eng. & Systems 2025-04-09 Anna Breger , Felix Goldbach , Bianca S. Gerendas , Ursula Schmidt-Erfurth , Martin Ehler

Histopathology refers to the examination by a pathologist of biopsy samples. Histopathology images are captured by a microscope to locate, examine, and classify many diseases, such as different cancer types. They provide a detailed view of…

Image and Video Processing · Electrical Eng. & Systems 2020-11-12 Naira Elazab , Hassan Soliman , Shaker El-Sappagh , S. M. Riazul Islam , Mohammed Elmogy

In biomedical optics, it is often of interest to statistically model the amplitude of the speckle using some distributional models with their parameters acting as biomarkers. In this paper, a paradigm shift is being advocated in which a…

Applications · Statistics 2022-01-21 Marcela Niemczyk , D. Robert Iskander

The fast-growing field of soft matter research requires increasingly sophisticated tools for experimental studies. One of the oldest and most widely used tools to study soft matter systems is optical microscopy. Recent advances in optical…

Soft Condensed Matter · Physics 2011-08-17 Taewoo Lee , Bohdan Senyuk , Rahul P. Trivedi , Ivan I. Smalyukh

Biophysical force spectroscopy tools - for example optical tweezers, magnetic tweezers, atomic force microscopy, - have been used to study elastic, mechanical, conformational and dynamic properties of single biological specimens from single…

Biomolecules · Quantitative Biology 2016-06-09 Zhaokun Zhou , Mark C. Leake

A robust model for simulating speckle pattern evolution in optical coherence tomography (OCT) depending on the OCT system parameters and tissue deformation is reported. The model is based on application of close to reality procedures used…

Medical Physics · Physics 2014-11-04 V. Yu. Zaitsev , L. A. Matveev , A. L. Matveyev , G. V. Gelikonov , V. M. Gelikonov

Localization-based imaging has revolutionized fluorescence optical microscopy and has also enabled unprecedented ultrasound images of microvascular structures in deep tissues. Herein, we introduce a new concept of localization optoacoustic…

Optics · Physics 2017-07-10 Xose Luis Dean-Ben , Daniel Razansky

Non-contact measurement of the refractive index and thickness of multilayer biological tissues is of great significance for biomedical applications and can greatly improve medical diagnosis and treatment. In this work, we introduce a…

Optics · Physics 2024-04-19 Yu-Lin Ku , Yao-Gen Shu

Optical diffraction tomography relies on solving an inverse scattering problem governed by the wave equation. Classical reconstruction algorithms are based on linear approximations of the forward model (Born or Rytov), which limits their…

Computational Engineering, Finance, and Science · Computer Science 2017-09-01 Emmanuel Soubies , Thanh-An Pham , Michael Unser

Cell detection is a fundamental task in computational pathology that can be used for extracting high-level medical information from whole-slide images. For accurate cell detection, pathologists often zoom out to understand the tissue-level…

Optical coherence tomography (OCT) and photoacoustic tomography (PAT) are emerging non-invasive biological and medical imaging techniques. It is a recent trend in experimental science to design experiments that perform PAT and OCT imaging…

Analysis of PDEs · Mathematics 2016-04-19 Peter Elbau , Leonidas Mindrinos , Otmar Scherzer

Patients undergoing a mechanical thrombectomy procedure usually have a multi-detector CT (MDCT) scan before and after the intervention. The image quality of the flat panel detector CT (FDCT) present in the intervention room is generally…

Image and Video Processing · Electrical Eng. & Systems 2025-08-28 Hélène Corbaz , Anh Nguyen , Victor Schulze-Zachau , Paul Friedrich , Alicia Durrer , Florentin Bieder , Philippe C. Cattin , Marios N Psychogios

Topo-Tomography (TT) is a synchrotron-based X-ray diffraction imaging technique used to characterize grain shape and crystal orientation in polycrystalline samples. This work aims to provide a decisive and fundamental understanding of 3D…

Computational Physics · Physics 2025-10-13 Zheheng Liu , Nicola Vigano , Henry Proudhon , Wolfgang Ludwig

Optical Coherence Tomography (OCT) provides a unique ability to image the eye retina in 3D at micrometer resolution and gives ophthalmologist the ability to visualize retinal diseases such as Age-Related Macular Degeneration (AMD). While…

Computer Vision and Pattern Recognition · Computer Science 2016-10-13 Stefanos Apostolopoulos , Carlos Ciller , Sandro I. De Zanet , Sebastian Wolf , Raphael Sznitman

Out-of-distribution (OOD) detection is crucial for the safety and reliability of artificial intelligence algorithms, especially in the medical domain. In the context of the Medical OOD (MOOD) detection challenge 2023, we propose a pipeline…

Computer Vision and Pattern Recognition · Computer Science 2023-10-16 Evi M. C. Huijben , Sina Amirrajab , Josien P. W. Pluim
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