Object Function Retrieval by Model-Based Optimization in Fourier Holographic Endoscopy

Thi Van Anh Nguyen, Munkyu Kang, Dinh Hoang Tran, Tran Thinh Le, Youngwoon Choi, Wonshik Choi

Research output: Contribution to journalArticlepeer-review

Abstract

Holographic endoscopes have garnered extensive attention not only for their compactness but also for their high-resolution and wide-field imaging capabilities. However, their practical use is challenging due to the reliance on Fesnel approximations in the underlying image reconstruction protocol, limiting their real-world applications. In this study, we present a model-based optimization algorithm that successfully retrieves an object function in a fiber bundle holographic endoscope. By developing a mathematical model that eliminates the need for approximations, our optimization extends the working range and expands the field of view of a fiber bundle holographic endoscope while preserving its advantages. These advancements significantly enhance the utility and feasibility of holographic endoscopes for various diagnostic procedures.

Original languageEnglish
Pages (from-to)385-394
Number of pages10
JournalACS Photonics
Volume11
Issue number2
DOIs
Publication statusPublished - 2024 Feb 21

Bibliographical note

Publisher Copyright:
© 2024 American Chemical Society.

Keywords

  • biophotonics
  • fiber bundle
  • holographic endoscopy
  • model-based optimization
  • optical imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biotechnology
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Object Function Retrieval by Model-Based Optimization in Fourier Holographic Endoscopy'. Together they form a unique fingerprint.

Cite this