Literature DB >> 34059774

Intensity correlation OCT is a classical mimic of quantum OCT providing up to twofold resolution improvement.

Sylwia M Kolenderska1, Piotr Kolenderski2.   

Abstract

Quantum Optical Coherence Tomography (Q-OCT) uses quantum properties of light to provide several advantages over its classical counterpart, OCT: it achieves a twice better axial resolution with the same spectral bandwidth and it is immune to even orders of dispersion. Since these features are very sought-after in OCT imaging, many hardware and software techniques have been created to mimic the quantum behaviour of light and achieve these features using traditional OCT systems. The most recent, purely algorithmic scheme-an improved version of Intensity Correlation Spectral Domain OCT named ICA-SD-OCT-showed even-order dispersion cancellation and reduction of artefacts. The true capabilities of this method were unfortunately severely undermined, both in terms of its relation to Q-OCT and its main performance parameters. In this work, we provide experimental demonstrations as well as numerical and analytical arguments to show that ICA-SD-OCT is a true classical equivalent of Q-OCT, more specifically its Fourier domain version, and therefore it enables a true two-fold axial resolution improvement. We believe that clarification of all the misconceptions about this very promising algorithm will highlight the great value of this method for OCT and consequently lead to its practical applications for resolution- and quality-enhanced OCT imaging.

Entities:  

Year:  2021        PMID: 34059774     DOI: 10.1038/s41598-021-90837-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  1 in total

1.  Single photon detection system for visible and infrared spectrum range.

Authors:  Alexander Divochiy; Marta Misiaszek; Yury Vakhtomin; Pavel Morozov; Konstantin Smirnov; Philipp Zolotov; Piotr Kolenderski
Journal:  Opt Lett       Date:  2018-12-15       Impact factor: 3.776

  1 in total

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