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Spectral molecular imaging is a new imaging technique able to discriminate and quantify different components of tissue simultaneously at high spatial and high energy resolution. Our MARS scanner is an x-ray based small animal CT system…

Recently it was reported that deeply subwavelength features of free space superoscillatory electromagnetic fields can be observed experimentally and used in optical metrology with nanoscale resolution [Science 364, 771 (2019)]. Here we…

Optics · Physics 2019-10-08 T. Pu , V. Savinov , G. Yuan , N. Papasimakis , N. I. Zheludev

Mid-infrared (MIR) spectroscopy is widely recognized as a powerful, non-distractive method for chemical analysis. However, its utility is constrained by a micrometer-scale spatial resolution imposed by the long-wavelength MIR diffraction…

Spectral imaging paves way for various fields and particular in biomedical research. However, spectral imaging mainly depending on spatial or temporal scanning, cannot achieve high temporal, spatial and spectral resolution simultaneously.…

Hyperspectral/multispectral imaging (HSI/MSI) contains rich information clinical applications, such as 1) narrow band imaging for vascular visualisation; 2) oxygen saturation for intraoperative perfusion monitoring and clinical decision…

Computer Vision and Pattern Recognition · Computer Science 2017-07-13 Jianyu Lin , Neil T. Clancy , Daniel S. Elson

Magnetic particle imaging (MPI) is an in-vivo imaging method to detect magnetic nanoparticles for blood vessel imaging and molecular target imaging. Compared with conventional molecular imaging devices (such as nuclear medicine imaging PET…

Medical Physics · Physics 2024-04-26 Guang Jia , Zhongwei Bian , Tianshu Li , Shi Bai , Chenxing Hu , Lixuan Zhao , Peng Gao , Tanping Li , Hui Hui , Jie Tian

In this paper, the problem of compressive imaging is addressed using natural randomization by means of a multiply scattering medium. To utilize the medium in this way, its corresponding transmission matrix must be estimated. To calibrate…

Computer Vision and Pattern Recognition · Computer Science 2016-08-26 Boshra Rajaei , Eric W. Tramel , Sylvain Gigan , Florent Krzakala , Laurent Daudet

The usually reported pixel resolution of single pixel imaging (SPI) varies between $32 \times 32$ and $256 \times 256$ pixels falling far below imaging standards with classical methods. Low resolution results from the trade-off between the…

Optics · Physics 2022-06-22 Rafał Stojek , Anna Pastuszczak , Piotr Wróbel , Rafał Kotyński

Multispectral imaging has been used for numerous applications in e.g., environmental monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical network-based multispectral imaging system trained using deep…

Optics · Physics 2023-04-07 Deniz Mengu , Anika Tabassum , Mona Jarrahi , Aydogan Ozcan

In remote sensing, images acquired by various earth observation satellites tend to have either a high spatial and low spectral resolution or vice versa. Pansharpening is a technique which aims to improve spatial resolution of multispectral…

Computer Vision and Pattern Recognition · Computer Science 2015-11-17 Shailesh Panchal , Rajesh Thakker

Imaging in a broad light-intensity regime with a high signal-to-noise ratio is a key capability in fields as diverse as Quantum Metrology and Astronomy. Achieving high signal-to-noise ratios in quantum imaging leads to surpassing the…

Instrumentation and Detectors · Physics 2023-01-27 Q. Pears Stefano , A. G. Magnoni , J. Estrada , C. Iemmi , D. Rodrigues , J. Tiffenberg

Near-infrared (NIR) hyperspectral imaging is widely used to reveal morphological and chemical information. However, conventional spectral imagers usually rely on costly focal plane arrays and suffer from data redundancy and inefficiencies…

Optics · Physics 2026-05-26 Ben Sun , Kun Huang , Zhibin Zhao , Beibei Dong , Jianan Fang , Heping Zeng

Hyperspectral imaging aims at providing information on both the spatial and the spectral distribution of light, with high resolution. However, state-of-the-art protocols are characterized by an intrinsic trade-off imposing to sacrifice…

Optics · Physics 2024-07-22 Gianlorenzo Massaro , Francesco V. Pepe , Milena D'Angelo

We consider the problem of segmenting an image into superpixels in the context of $k$-means clustering, in which we wish to decompose an image into local, homogeneous regions corresponding to the underlying objects. Our novel approach…

Computer Vision and Pattern Recognition · Computer Science 2021-04-05 Jianchao Zhang , Angelica I. Aviles-Rivero , Daniel Heydecker , Xiaosheng Zhuang , Raymond Chan , Carola-Bibiane Schönlieb

The following article presents a multi-length-scale characterization approach for investigating doping chemistry and spatial distributions within semiconductors, as demonstrated using a state-of-the-art CMOS image sensor. With an intricate…

The resolution limits of classical spectroscopy can be surpassed by quantum-inspired methods leveraging the information contained in the phase of the complex electromagnetic field. Their counterpart in spatial imaging has been widely…

Optics · Physics 2024-09-02 Michał Lipka , Michał Parniak

We present the development and performance of a newly built recoil ion momentum spectrometer to study the fragmentation dynamics of ionized molecules. The spectrometer is based on the two-stage Wiley-McLaren geometry and satisfies both time…

Atomic Physics · Physics 2022-11-23 Avijit Duley , Rohit Tyagi , Sandeep B. Bari , A. H. Kelkar

We propose and experimentally demonstrate a high-efficiency single-pixel imaging (SPI) scheme by integrating time-correlated single-photon counting (TCSPC) with time-division multiplexing to acquire full-color images at extremely low light…

The visualization of pure phase objects by wavefront sensing has important applications ranging from surface profiling to biomedical microscopy, and generally requires bulky and complicated setups involving optical spatial filtering,…

Optics · Physics 2023-08-29 Jianing Liu , Hao Wang , Yuyu Li , Lei Tian , Roberto Paiella

Recent advances in detectors and computer science have enabled the acquisition and the processing of multidimensional datasets, in particular in the field of spectral imaging. Benefiting from these new developments, earth scientists try to…

Materials Science · Physics 2012-06-04 Nicolas Dobigeon , Nathalie Brun
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