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 language | English |
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Pages (from-to) | 385-394 |
Number of pages | 10 |
Journal | ACS Photonics |
Volume | 11 |
Issue number | 2 |
DOIs | |
Publication status | Published - 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