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Moghaddasi M, Perez Coca EE, Ye D, Flores DA, Wu X, Jalal A, Ren Z, Abrinaei F, Hu B. Wide FOV metalens for near-infrared capsule endoscopy: advancing compact medical imaging. NANOPHOTONICS (BERLIN, GERMANY) 2024; 13:4417-4428. [PMID: 39679179 PMCID: PMC11636453 DOI: 10.1515/nanoph-2024-0393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 10/06/2024] [Indexed: 12/17/2024]
Abstract
This study presents the design, fabrication, and characterization of a wide field-of-view (FOV) metalens optimized for capsule endoscopy. The metalens achieved a 165° FOV with a high modulation transfer function (MTF) of 300 lines per millimeter (lp/mm) across the entire FOV, operating in the near-infrared (NIR) narrow-bandpass imaging at 940 nm. The performance of the metalens-based system is evaluated using two bandwidths, 12 nm and 32 nm, showing MTF values of 0.2 and 0.3 at 250 lp/mm, respectively. The metalens-based system maintains a compact form factor with a total track length of 1.4 mm and a diameter of 1.58 mm. Compared to a traditional 108° FOV endoscope, the nano-optic capsule endoscope demonstrated superior performance in terms of FOV, contrast, and resolution. This advancement represents a significant step toward enhancing diagnostic capabilities in medical imaging, offering improved performance in a more compact package compared to conventional optics.
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Affiliation(s)
- Mojtaba Moghaddasi
- National Key Laboratory on Near-Surface Detection, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | | | - Danni Ye
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing102488, China
| | - Diego Alejandro Flores
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing100081, China
| | - Xudong Wu
- National Key Laboratory on Near-Surface Detection, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Abdul Jalal
- National Key Laboratory on Near-Surface Detection, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Ziming Ren
- National Key Laboratory on Near-Surface Detection, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Fahimeh Abrinaei
- Department of Physics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
- Department of Physics, East Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Bin Hu
- National Key Laboratory on Near-Surface Detection, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
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Teramoto A, Hamada S, Ogino B, Yasuda I, Sano Y. Updates in narrow-band imaging for colorectal polyps: Narrow-band imaging generations, detection, diagnosis, and artificial intelligence. Dig Endosc 2022; 35:453-470. [PMID: 36480465 DOI: 10.1111/den.14489] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 12/01/2022] [Indexed: 01/20/2023]
Abstract
Narrow-band imaging (NBI) is an optical digital enhancement method that allows the observation of vascular and surface structures of colorectal lesions. Its usefulness in the detection and diagnosis of colorectal polyps has been demonstrated in several clinical trials and the diagnostic algorithms have been simplified after the establishment of endoscopic classifications such as the Japan NBI Expert Team classification. However, there were issues including lack of brightness in the earlier models, poor visibility under insufficient bowel preparation, and the incompatibility of magnifying endoscopes in certain endoscopic platforms, which had impeded NBI from becoming standardized globally. Nonetheless, NBI continued its evolution and the newest endoscopic platform launched in 2020 offers significantly brighter and detailed images. Enhanced visualization is expected to improve the detection of polyps while universal compatibility across all scopes including magnifying endoscopy will promote the global standardization of magnifying diagnosis. Therefore, knowledge related to magnifying colonoscopy will become essential as magnification becomes standardly equipped in future models, although the advent of computer-aided diagnosis and detection may greatly assist endoscopists to ensure quality of practice. Given that most endoscopic departments will be using both old and new models, it is important to understand how each generation of endoscopic platforms differ from each other. We reviewed the advances in the endoscopic platforms, artificial intelligence, and evidence related to NBI essential for the next generation of endoscopic practice.
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Affiliation(s)
- Akira Teramoto
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Seiji Hamada
- Gastrointestinal Center, Urasoe General Hospital, Okinawa, Japan
| | - Banri Ogino
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Ichiro Yasuda
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Yasushi Sano
- Gastrointestinal Center, Sano Hospital, Hyogo, Japan
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