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Multispectral imaging is very beneficial in diverse applications, like healthcare and agriculture, since it can capture absorption bands of molecules in different spectral areas. A promising approach for multispectral snapshot imaging are…

图像与视频处理 · 电气工程与系统科学 2024-11-08 Frank Sippel , Jürgen Seiler , André Kaup

We propose a new design for a multi-color, parallelized STED microscope, capable of multiple beam scanning. Our design is based on a common programmable diffracting optical element used to split, shape, and align both the excitation beams…

光学 · 物理学 2015-04-21 Omer Wagner , Ori Cheshnovsky , Yael Roichman

The combination of different imaging modalities into single imaging platforms has a strong potential in biomedical sciences since it permits the analysis of complementary properties of the target sample. Here, we report on an extremely…

光学 · 物理学 2025-01-17 David Alonso , Javier Garcia , Vicente Mico

We present MetaSpectra+, a compact multifunctional camera that supports two operating modes: (1) snapshot HDR + hyperspectral or (2) snapshot polarization + hyperspectral imaging. It utilizes a novel metasurface-refractive assembly that…

图像与视频处理 · 电气工程与系统科学 2026-03-11 Yuxuan Liu , Wei Xu , Qi Guo

Whole slide image (WSI) classification is a crucial problem for cancer diagnostics in clinics and hospitals. A WSI, acquired at gigapixel size, is commonly tiled into patches and processed by multiple-instance learning (MIL) models.…

计算机视觉与模式识别 · 计算机科学 2024-10-10 Doanh C. Bui , Jin Tae Kwak

Automatic medical image segmentation has wide applications for disease diagnosing. However, it is much more challenging than natural optical image segmentation due to the high-resolution of medical images and the corresponding huge…

计算机视觉与模式识别 · 计算机科学 2020-12-18 Ziqiang Li , Rentuo Tao , Qianrun Wu , Bin Li

Recent developments in stimulated emission depletion (STED) microscopy achieved nanometer scale resolution and showed great potential in live cell imaging. Yet, STED nanoscopy techniques are based on single point-scanning. This constitutes…

生物物理 · 物理学 2015-06-16 Bin Yang , Frédéric Przybilla , Michael Mestre , Jean-Baptiste Trebbia , Brahim Lounis

Multifocus microscopy enables recording of entire volumes in a single camera exposure. In dense samples, multifocus microscopy is severely hampered by background haze. Here, we introduce a scalable multifocus method that incorporates…

We address the challenging problem of whole slide image (WSI) classification. WSIs have very high resolutions and usually lack localized annotations. WSI classification can be cast as a multiple instance learning (MIL) problem when only…

计算机视觉与模式识别 · 计算机科学 2021-04-05 Bin Li , Yin Li , Kevin W. Eliceiri

This article experimentally examines different configurations of a novel multi-camera array microscope (MCAM) imaging technology. The MCAM is based upon a densely packed array of "micro-cameras" to jointly image across a large field-of-view…

Multi-spectral imaging, which simultaneously captures the spatial and spectral information of a scene, is widely used across diverse fields, including remote sensing, biomedical imaging, and agricultural monitoring. Here, we introduce a…

We propose a dataset-based photonic simulation framework for multimode waveguide design, enabling ultra-fast simulations with high accuracy. Compared to conventional approaches, our method offers two to three orders of magnitude speed-up in…

光学 · 物理学 2025-11-11 Jaesung Song , Young-Ik Sohn

In computational pathology, multiple instance learning (MIL) is widely used to circumvent the computational impasse in giga-pixel whole slide image (WSI) analysis. It usually consists of two stages: patch-level feature extraction and…

图像与视频处理 · 电气工程与系统科学 2023-09-21 Beidi Zhao , Wenlong Deng , Zi Han , Li , Chen Zhou , Zuhua Gao , Gang Wang , Xiaoxiao Li

Deep-learning techniques have been used widely to alleviate the labour-intensive and time-consuming manual annotation required for pixel-level tissue characterization. Our previous study introduced an efficient single dynamic network -…

图像与视频处理 · 电气工程与系统科学 2023-05-25 Haoju Leng , Ruining Deng , Zuhayr Asad , R. Michael Womick , Haichun Yang , Lipeng Wan , Yuankai Huo

Diffusion MRI (dMRI) is a unique imaging technique for in vivo characterization of tissue microstructure and white matter pathways. However, its relatively long acquisition time implies greater motion artifacts when imaging, for example,…

医学物理 · 物理学 2020-02-26 Yoonmi Hong , Wei-Tang Chang , Geng Chen , Ye Wu , Weili Lin , Dinggang Shen , Pew-Thian Yap

Parallel imaging techniques have been widely used in high-field magnetic resonance imaging (MRI). Multiple receiver coils have been shown to improve image quality and allow accelerated image acquisition. Magnetic resonance imaging at…

医学物理 · 物理学 2008-11-26 V. S. Zotev , P. L. Volegov , A. N. Matlashov , M. A. Espy , J. C. Mosher , R. H. Kraus

Fluorescence microscopy is a powerful tool for imaging biological samples with molecular specificity. In contrast, phase microscopy provides label-free measurement of the sample's refractive index (RI), which is an intrinsic optical…

光学 · 物理学 2022-01-26 Yi Xue , David Ren , Laura Waller

Different imaging modalities are used to extract the diverse information carried in an optical field. Two prominent modalities include bright field and phase contrast microscopy that can visualize the amplitude and phase features of a…

In the effort to aid cytologic diagnostics by establishing automatic single cell screening using high throughput digital holographic microscopy for clinical studies thousands of images and millions of cells are captured. The bottleneck lies…

图像与视频处理 · 电气工程与系统科学 2024-10-28 Julia Sistermanns , Ellen Emken , Gregor Weirich , Oliver Hayden , Wolfgang Utschick

Histopathology whole slide images (WSIs) play a very important role in clinical studies and serve as the gold standard for many cancer diagnoses. However, generating automatic tools for processing WSIs is challenging due to their enormous…

计算机视觉与模式识别 · 计算机科学 2022-09-28 Jingwei Zhang , Xin Zhang , Ke Ma , Rajarsi Gupta , Joel Saltz , Maria Vakalopoulou , Dimitris Samaras