1. Articles from Habib Ammari

    1-2 of 2
    1. A signal separation technique for sub-cellular imaging using dynamic optical coherence tomography

      A signal separation technique for sub-cellular imaging using dynamic optical coherence tomography

      This paper aims at imaging the dynamics of metabolic activity of cells. Using dynamic optical coherence tomography, we introduce a new multiparticle dynamical model to simulate the movements of the collagen and the cell metabolic activity and develop an efficient signal separation technique for sub-cellular imaging. We perform a singular-value decomposition of the dynamic optical images to isolate the intensity of the metabolic activity. We prove that the largest eigenvalue of the associated Casorati matrix corresponds to the collagen. We present several numerical simulations to illustrate and validate our approach.

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    2. Mathematical modeling in full-field optical coherence elastography

      Mathematical modeling in full-field optical coherence elastography

      We provide a mathematical analysis of and a numerical framework for full- field optical coherence elastography, which has unique features including micron-scale resolution, real-time processing, and non-invasive imaging. We develop a novel al- gorithm for transforming volumetric optical images before and after the mechanical solicitation of a sample with sub-cellular resolution into quantitative shear modulus distributions. This has the potential to improve sensitivities and specificity in the biological and clinical applications of optical coherence tomography.

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    1-2 of 2
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  2. Topics in the News

    1. (1 articles) University of Zurich
    2. (1 articles) Yonsei University
    3. (1 articles) University of Vienna
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    Mathematical modeling in full-field optical coherence elastography A signal separation technique for sub-cellular imaging using dynamic optical coherence tomography High space-bandwidth in quantitative phase imaging using partially spatially coherent optical coherence microscopy and deep neural network Optical coherence tomography assessment of macrophages accumulation in non-ST-segment elevation acute coronary syndromes Early disability in ambulatory patients with multiple sclerosis: optical coherence tomography versus visual evoked potentials, a comparative study Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes Atlas of Optical Coherence Tomography for Glaucoma (Textbook) In-vivo analysis of iron-gold composite nanoparticles as potential exogenous contrast agents for Magnetomotive Optical Coherence Tomography (MMOCT) Automatic Classification of Volumetric Optical Coherence Tomography Images via Recurrent Neural Network Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images Circadian variations in pathogenesis of ST-segment elevation myocardial infarction: an optical coherence tomography study Assessing atherothrombotic burden with optical coherence tomography analysis may facilitate post‐PCI prognostication and antiplatelet therapy