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Communication

Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging

1
Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Kashiwa, Chiba 277-8577, Japan
2
Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba 278-8510, Japan
3
Department of Materials Science and Technology, Tokyo University of Science, Katsushika, Tokyo 162-8601, Japan
4
Department of Mechanical Engineering, Tokyo University of Science, Noda, Chiba 278-8510, Japan
5
Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba 277-8577, Japan
6
Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba 277-8577, Japan
7
RIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Arcangelo Merla
Sensors 2021, 21(8), 2649; https://doi.org/10.3390/s21082649
Received: 25 February 2021 / Revised: 1 April 2021 / Accepted: 6 April 2021 / Published: 9 April 2021
(This article belongs to the Special Issue Biomedical Infrared Imaging: From Sensors to Applications Ⅱ)
In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000–1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues. View Full-Text
Keywords: laparoscope; InGaAs camera; multispectral imaging; near infrared; live imaging laparoscope; InGaAs camera; multispectral imaging; near infrared; live imaging
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MDPI and ACS Style

Takamatsu, T.; Kitagawa, Y.; Akimoto, K.; Iwanami, R.; Endo, Y.; Takashima, K.; Okubo, K.; Umezawa, M.; Kuwata, T.; Sato, D.; Kadota, T.; Mitsui, T.; Ikematsu, H.; Yokota, H.; Soga, K.; Takemura, H. Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging. Sensors 2021, 21, 2649. https://doi.org/10.3390/s21082649

AMA Style

Takamatsu T, Kitagawa Y, Akimoto K, Iwanami R, Endo Y, Takashima K, Okubo K, Umezawa M, Kuwata T, Sato D, Kadota T, Mitsui T, Ikematsu H, Yokota H, Soga K, Takemura H. Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging. Sensors. 2021; 21(8):2649. https://doi.org/10.3390/s21082649

Chicago/Turabian Style

Takamatsu, Toshihiro, Yuichi Kitagawa, Kohei Akimoto, Ren Iwanami, Yuto Endo, Kenji Takashima, Kyohei Okubo, Masakazu Umezawa, Takeshi Kuwata, Daiki Sato, Tomohiro Kadota, Tomohiro Mitsui, Hiroaki Ikematsu, Hideo Yokota, Kohei Soga, and Hiroshi Takemura. 2021. "Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging" Sensors 21, no. 8: 2649. https://doi.org/10.3390/s21082649

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