Number of the records: 1  

Computational image enhancement of multimode fibre-based holographic endo-microscopy: harnessing the muddy modes

  1. 1.
    0548489 - ÚPT 2022 RIV US eng J - Journal Article
    Tučková, Tereza - Šiler, Martin - Boonzajer Flaes, D. E. - Jákl, Petr - Turtaev, S. - Krátký, Stanislav - Heintzmann, R. - Uhlířová, Hana - Čižmár, Tomáš
    Computational image enhancement of multimode fibre-based holographic endo-microscopy: harnessing the muddy modes.
    Optics Express. Roč. 29, č. 23 (2021), s. 38206-38220. ISSN 1094-4087
    R&D Projects: GA MŠMT(CZ) LO1212; GA MŠMT EF15_003/0000476; GA MŠMT ED0017/01/01
    EU Projects: European Commission(XE) 101016787 - DEEPER
    Institutional support: RVO:68081731
    Keywords : multimode optical fibre * image reconstruction * wavefront shaping * poisson noise
    OECD category: Optics (including laser optics and quantum optics)
    Impact factor: 3.833, year: 2021
    Method of publishing: Open access
    https://www.osapublishing.org/oe/fulltext.cfm?uri=oe-29-23-38206&id=464465

    In imaging geometries, which employ wavefront-shaping to control the light transport through a multi-mode optical fibre (MMF), this terminal hair-thin optical component acts as a minimally invasive objective lens, enabling high resolution laser-scanning fluorescence microscopy inside living tissues at depths hardly accessible by any other light-based technique. Even in the most advanced systems, the diffraction-limited foci scanning the object across the focal plane are contaminated by a stray optical signal carrying typically few tens of % of the total optical power. The stray illumination takes the shape of a randomised but reproducible speckle, and is unique for each position of the focus. We experimentally demonstrate that the performance of imaging a fluorescent object can be significantly improved, when resulting images are computationally post-processed, utilising records of intensities of all speckle-contaminated foci used in the imaging procedure. We present two algorithms based on a regularised iterative inversion and regularised direct pseudo-inversion respectively which lead to enhancement of the image contrast and resolution.
    Permanent Link: http://hdl.handle.net/11104/0324622

     
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.