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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F21%3A00548489" target="_blank" >RIV/68081731:_____/21:00548489 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26620/21:PU142228

Výsledek na webu

<a href="https://www.osapublishing.org/oe/fulltext.cfm?uri=oe-29-23-38206&id=464465" target="_blank" >https://www.osapublishing.org/oe/fulltext.cfm?uri=oe-29-23-38206&id=464465</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1364/OE.434848" target="_blank" >10.1364/OE.434848</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10306 - Optics (including laser optics and quantum optics)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Optics Express

ISSN

1094-4087

e-ISSN

—

Svazek periodika

29

Číslo periodika v rámci svazku

23

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

15

Strana od-do

38206-38220

Kód UT WoS článku

000716468800098

EID výsledku v databázi Scopus

2-s2.0-85118720511