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

0548489 - ÚPT 2022 RIV US eng J - Článek v odborném periodiku
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
Grant CEP: GA MŠMT(CZ) LO1212; GA MŠMT EF15_003/0000476; GA MŠMT ED0017/01/01
GRANT EU: European Commission(XE) 101016787 - DEEPER
Institucionální podpora: RVO:68081731
Klíčová slova: multimode optical fibre * image reconstruction * wavefront shaping * poisson noise
Obor OECD: Optics (including laser optics and quantum optics)
Impakt faktor: 3.833, rok: 2021
Způsob publikování: 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.
Trvalý link: http://hdl.handle.net/11104/0324622