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The determination of minority-carrier lifetimes and surface recombination velocities is essential for the development of semiconductor technologies such as solar cells. The recent development of two-photon time-resolved microscopy allows…

Materials Science · Physics 2016-03-28 Benoit Gaury , Paul Haney

Recent advances in computer vision have shown promising results in image generation. Diffusion probabilistic models in particular have generated realistic images from textual input, as demonstrated by DALL-E 2, Imagen and Stable Diffusion.…

Tracking cells in 3D at high speed continues to attract extensive attention for many biomedical applications, such as monitoring immune cell migration and observing tumor metastasis in flowing blood vessels. Here, we propose a deep…

Optics · Physics 2018-05-16 Kan Liu , Hui Qiao , Jiamin Wu , Haoqian Wang , Lu Fang , Qionghai Dai

Skin modeling is an ongoing research area that highly benefits from modern parallel algorithms. This article aims at applying shape optimization to compute cell size and arrangement for elastic energy minimization of a cellular composite…

Computational Physics · Physics 2020-05-05 Jose Pinzon , Martin Siebenborn , Andreas Vogel

Volumetric biological imaging often involves compromising high temporal resolution at the expense of high spatial resolution when popular scanning methods are used to capture 3D information. We introduce an integrated experimental and image…

Spectroscopic photoemission microscopy is a well-established method to investigate the electronic structure of surfaces. In modern photoemission microscopes the electron optics allows imaging of the image plane, momentum plane, or…

Fluorescence microscopy is an essential tool for the analysis of 3D subcellular structures in tissue. An important step in the characterization of tissue involves nuclei segmentation. In this paper, a two-stage method for segmentation of…

Image and Video Processing · Electrical Eng. & Systems 2020-01-10 David Joon Ho , Shuo Han , Chichen Fu , Paul Salama , Kenneth W. Dunn , Edward J. Delp

3D microscopy is key in the investigation of diverse biological systems, and the ever increasing availability of large datasets demands automatic cell identification methods that not only are accurate, but also can imply the uncertainty in…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Alvaro Gomariz , Tiziano Portenier , César Nombela-Arrieta , Orcun Goksel

Purpose: To develop a framework to reconstruct large-scale volumetric dynamic MRI from rapid continuous and non-gated acquisitions, with applications to pulmonary and dynamic contrast enhanced (DCE) imaging. Theory and Methods: The problem…

Optical coherence tomography offers astounding opportunities to image the complex structure of living tissue, but lacks functional information. We present dynamic full-field optical coherence tomography to image living human induced…

A structural understanding of whole cells in three dimensions at high spatial resolution remains a significant challenge and, in the case of X-rays, has been limited by radiation damage. By alleviating this limitation, cryogenic coherent…

In this work, we extend the SEEDS superpixel algorithm from 2D images to 3D volumes, resulting in 3D SEEDS, a faster, better, and open-source supervoxel algorithm for medical image analysis. We compare 3D SEEDS with the widely used…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Chenhui Zhao , Yan Jiang , Todd C. Hollon

Cellular Electron CryoTomography (CECT) is a 3D imaging technique that captures information about the structure and spatial organization of macromolecular complexes within single cells, in near-native state and at sub-molecular resolution.…

Quantitative Methods · Quantitative Biology 2018-07-04 Kai Wen Wang , Xiangrui Zeng , Xiaodan Liang , Zhiguang Huo , Eric P. Xing , Min Xu

Bright-field microscopy, a cost-effective solution for live-cell culture, is often the only resource available, along with standard CPUs, for many low-budget labs. The inherent challenges of bright-field images -- their noisiness, low…

Quantitative Methods · Quantitative Biology 2025-11-03 Surajit Das , Pavel Zun

A major limitation of two-dimensional scanning electron microscopy (SEM) in imaging porous membranes is its inability to resolve three-dimensional pore architecture and interconnectivity, which are critical factors governing membrane…

Improving the detailed understanding of the underlying properties and functions of biomolecules has recently attracted growing interest, enabled by the possibility of real-space imaging of single, intact macromolecules using Scanning…

Mesoscale and Nanoscale Physics · Physics 2026-03-10 Tim J. Seifert , Dhaneesh Kumar , Markus Etzkorn , Stephan Rauschenbach , Klaus Kern , Kelvin Anggara , Uta Schlickum

Multiphoton microscopy is widely used for live imaging. However, its acquisition speed remains limited by fluorophore emission rates and photodamage. To increase the pixel rate of a two-photon microscope beyond a few megahertz (MHz),…

Diffraction analysis in four dimensional scanning transmission electron microscopy now enables the mapping of local structures including symmetry, strain, and polarization of materials. However, measuring the distribution of these…

Materials Science · Physics 2024-06-19 Tim B. Eldred , Jacob G. Smith , Wenpei Gao

Three-dimensional (3D) images, such as CT, MRI, and PET, are common in medical imaging applications and important in clinical diagnosis. Semantic ambiguity is a typical feature of many medical image labels. It can be caused by many factors,…

Image and Video Processing · Electrical Eng. & Systems 2022-09-19 Lin Wang , Xiufen Ye , Donghao Zhang , Wanji He , Lie Ju , Xin Wang , Wei Feng , Kaimin Song , Xin Zhao , Zongyuan Ge

We present a novel method for identification of the boundary of embryonic cells (blastomeres) in Hoffman Modulation Contrast (HMC) microscopic images that are taken between day one to day three. Identification of boundaries of blastomeres…

Computer Vision and Pattern Recognition · Computer Science 2019-10-15 Shakiba Kheradmand , Parvaneh Saeedi , Jason Au , John Havelock