Abstract

Combining reflected endoscopic image with spectral data has recently attracted much attention. We use optical fiber bundle probe, galvo-scanning module and imaging spectrometer module to realize a dual-channel endoscope capable of simultaneous acquisition of real-time video data and high throughput hyperspectral data. The frame per second of the video channel is 30, and the wavelength range in the hyperspectral channel is 400 - 750 nm, with 3 nm spectral resolution at 547 nm. To achieve fast hyperspectral imaging, we extract the region of interest (ROI) area from the video channel and utilize it as guidance to drive the galvo-scanning module to obtain the hyperspectral data in the ROI. In this way, the hyperspectral imaging speed for a selected ROI area can be reduced to less than 1 second, making it possible to achieve rapid detection. Utilizing this system, we acquired the hyperspectral image of fingerprints, dorsum of hand and skin melanin nevus, all of which demonstrate the compact dual-channel endoscopy has broad implications for research and therapeutics.

Highlights

  • The importance of histopathological evaluation for disease remains critical

  • The image of the sample was relayed to the detection module, which consists of a video camera and homemade imaging spectrometer by a custom fiber bundle probe

  • By utilizing the spatial image captured by video camera to locate the region of interest (ROI), this system is able to accomplish hyperspectral imaging of an ROI in about 1 s, giving it great potential to be used in clinical applications

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Summary

Introduction

The importance of histopathological evaluation for disease remains critical. the acquisition and recognition of traditional pathological data are time-consuming and must be obtained by a well-trained observer. In order to obtain high-throughput spectral information, hyperspectral endoscopy has been developed [4,5,6]. Dual-Channel, Hyperspectral, Endoscopy it is critical to resolve the issue of reducing spectral resolution to improve the SNR of spectral data in order to develop a fast-spectral detection system with less exposure time. Another way to improve imaging speed is to reduce the spectral resolution of the system. A hyperspectral endoscopy system with high imaging speed and rich spectral information is required to perform accurate clinical diagnoses

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