1. Articles from Francisco Romero

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    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. Topics in the News

    1. (6 articles) National Institutes of Health
    2. (2 articles) UC Irvine
    3. (2 articles) Oregon Health & Science University
    4. (2 articles) Zhongping Chen
    5. (2 articles) Yifan Jian
    6. (1 articles) University of Zurich
    7. (1 articles) University of Vienna
    8. (1 articles) UCLA
    9. (1 articles) University of L├╝beck
    10. (1 articles) Pusan National University
    11. (1 articles) Evelyn Regar
    12. (1 articles) Antonios Karanasos
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