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Related papers: Open 2D Electrical Impedance Tomography data archi…

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Impedance-based temperature detection (ITD) is a promising approach for rapid estimation of internal cell temperature based on the correlation between temperature and electrochemical impedance. Previously, ITD was used as part of an…

Systems and Control · Computer Science 2016-06-28 Robert R. Richardson , Shi Zhao , David A. Howey

This tutorial introduces the theoretical and experimental basics of Electromagnetically Induced Transparency (EIT) in thermal alkali vapors. We first introduce a brief phenomenological description of EIT in simple three-level systems of…

Quantum Physics · Physics 2023-03-22 Ran Finkelstein , Samir Bali , Ofer Firstenberg , Irina Novikova

The aim of this paper is to show the feasibility of the D-bar method for real-time 2-D EIT reconstructions. A fast implementation of the D-bar method for reconstructing conductivity changes on a 2-D chest-shaped domain is described.…

Numerical Analysis · Mathematics 2014-04-25 Melody Dodd , Jennifer L. Mueller

Recent years have seen vast progress in the generation and detection of structured light, with potential applications in high capacity optical data storage and continuous variable quantum technologies. Here we measure the transmission of…

Objective: To present the first 3D CGO-based absolute EIT reconstructions from experimental tank data. Approach: CGO-based methods for absolute EIT imaging are compared to traditional TV regularized non-linear least squares reconstruction…

Numerical Analysis · Mathematics 2023-01-05 S. J. Hamilton , P. A. Muller , D. Isaacson , V. Kolehmainen , J. Newell , O. Rajabi Shishvan , G. Saulnier , J. Toivanen

Electrical impedance tomography (EIT) is highly affected by modeling errors regarding electrode positions and the shape of the imaging domain. In this work, we propose a new inclusion detection technique that is completely independent of…

Analysis of PDEs · Mathematics 2018-10-11 Bastian Harrach , Eunjung Lee , Marcel Ullrich

Elastoinertial turbulence (EIT) is a chaotic state that emerges in the flows of dilute polymer solutions. Direct numerical simulation (DNS) of EIT is highly computationally expensive due to the need to resolve the multi-scale nature of the…

Fluid Dynamics · Physics 2025-03-19 Manish Kumar , C. Ricardo Constante-Amores , Michael D. Graham

Electrometry near a dielectric surface is performed using Rydberg electromagnetically induced transparency (EIT). The large polarizability of high n-state Rydberg atoms gives this method extreme sensitivity. We show that adsorbates on the…

Atomic Physics · Physics 2015-05-28 R. P. Abel , C. Carr , U. Krohn , C. S. Adams

Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal conductivity of a physical body from electric boundary measurements. EIT combined with machine learning has shown promise for the…

Single and double electromagnetically induced transparency (EIT) in a medium, consisting of four-level atoms in the inverted-Y configuration, are discussed using mechanical and electrical analogies. A three coupled spring-mass system…

Quantum Physics · Physics 2011-08-02 Joshua Harden , Amitabh Joshi , Juan D. Serna

Electrical Impedance Tomography (EIT) is an emerging non-invasive medical imaging modality. It is based on feeding electrical currents into the patient, measuring the resulting voltages at the skin, and recovering the internal conductivity…

Image and Video Processing · Electrical Eng. & Systems 2020-11-06 Juan Pablo Agnelli , Aynur Çöl , Matti Lassas , Rashmi Murthy , Matteo Santacesaria , Samuli Siltanen

We review developments, issues and challenges in Electrical Impedance Tomography (EIT), for the 4th Workshop on Biomedical Applications of EIT, Manchester 2003. We focus on the necessity for three dimensional data collection and…

Medical Physics · Physics 2008-07-31 William R. B. Lionheart

Electrical Impedance Tomography (EIT) systems are becoming popular because they present several advantages over competing systems. However, EIT leads to images with very low resolution. Moreover, the nonuniform sampling characteristic of…

Computer Vision and Pattern Recognition · Computer Science 2019-05-01 Ricardo A. Borsoi , Julio C. C. Aya , Guilherme H. Costa , José C. M. Bermudez

The Pulmonary Function Test (PFT) is an widely utilized and rigorous classification test for lung function evaluation, serving as a comprehensive tool for lung diagnosis. Meanwhile, Electrical Impedance Tomography (EIT) is a rapidly…

Image and Video Processing · Electrical Eng. & Systems 2023-07-04 Shuzhe Chen , Li Li , Zhichao Lin , Ke Zhang , Ying Gong , Lu Wang , Xu Wu , Maokun Li , Yuanlin Song , Fan Yang , Shenheng Xu

We present experimental observation of electromagnetically induced transparency (EIT) on a single macroscopic artificial "atom" (superconducting quantum system) coupled to open 1D space of a transmission line. Unlike in a optical media with…

Quantum Physics · Physics 2015-05-18 A. A. Abdumalikov, , O. Astafiev , A. M. Zagoskin , Yu. A. Pashkin , Y. Nakamura , J. -S. Tsai

Dynamical evolution and electromagnetically induced transparency (EIT) is investigated here in a three-level $\lambda$-type atomic system including near-dipole-dipole interaction among atoms. The system is driven by the probe and coupling…

Optics · Physics 2018-09-26 Amitabh Joshi , Juan D. Serna

The electromagnetically induced transparency (EIT) phenomenon has been investigated in a $\Lambda$-system of the $^{87}$Rb D$_1$ line in an external transverse magnetic field. Two spectroscopic cells having strongly different values of the…

Dicke narrowing is a phenomena that dramatically reduces the Doppler width of spectral lines, due to frequent velocity-changing collisions. A similar phenomena occurs for electromagnetically induced transparency (EIT) resonances, and…

Quantum Physics · Physics 2007-08-18 M. Shuker , O. Firstenberg , R. Pugatch , A. Ben-Kish , A. Ron , N. Davidson

Objective: Absolute images have important applications in medical Electrical Impedance Tomography (EIT) imaging, but the traditional minimization and statistical based computations are very sensitive to modeling errors and noise. In this…

Analysis of PDEs · Mathematics 2018-08-16 S. J. Hamilton , J. L. Mueller , T. R. Santos