Wireless capsule for autofluorescence detection in biological systems

被引:3
|
作者
Al-Rawhani, Mohammed A. [1 ]
Beeley, James [1 ]
Chitnis, Danial [2 ]
Collins, Steve [2 ]
Cumming, David R. S. [1 ]
机构
[1] Univ Glasgow, Sch Engn, Glasgow, Lanark, Scotland
[2] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
基金
英国工程与自然科学研究理事会;
关键词
Autofluorescence endoscopy; Capsule endoscopy; Autofluorescence imaging; SPAD; Non-invasive diagnosis; UPPER GI TRACT; SPECTROSCOPY; CANCER; FLUORESCENCE; ENDOSCOPY;
D O I
10.1016/j.snb.2013.03.037
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Variations in tissue autofluorescence (AF) can be exploited to detect early signs of intestinal cancer, however current endoscopic AF systems are only able to inspect the oesophegus and large intestine. We present the design, fabrication and testing of a pill capable of inducing and detecting AF from mammalian intestinal tissue. The prototype comprises an application specific integrated circuit (ASIC), illumination LED, optical filters to minimise sensor response to crosstalk from the illumination wavelength, a pulse counter/control unit and a radio transmitter. The ASIC implements a single photon avalanche diode detector (SPAD), and integrated high voltage (up to 37.9 V) charge pump power supply. The SPAD is biased above its breakdown voltage to operate in Geiger mode, and exhibits a detection efficiency peak at 465 nm, sufficiently close to human tissue autofluorescence's peak of 520 +/- 10 nm. The ASIC was fabricated using a commercial high-voltage CMOS process. The complete device uses an average power of only 21.4 mW. The implemented system has been characterised against controlled solutions of fluorophores and tested in vitro with biological samples. It has been proven to be capable of inducing and detecting fluorescence in fluorophore solution concentration as low as 1 nM, and with mammalian intestinal tissue. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:203 / 207
页数:5
相关论文
共 50 条
  • [11] Detection of Hookworm Infection in the Wireless Capsule Endoscopy Images
    Sri, R. Sneha
    Oliver, A. Sheryl
    Shanthini, S.
    2017 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL, INSTRUMENTATION AND COMMUNICATION ENGINEERING (ICEICE), 2017,
  • [12] Detection of Uninformative Regions in Wireless Capsule Endoscopy Images
    Alizadeh, Mandi
    Sharzehi, Kaveh
    Talebpour, Alireza
    Soltanian-Zadeh, Hamid
    Eskandari, Hoda
    Maghsoudi, Omid Haji
    2015 41ST ANNUAL NORTHEAST BIOMEDICAL ENGINEERING CONFERENCE (NEBEC), 2015,
  • [13] Automatic Hookworm Detection in Wireless Capsule Endoscopy Images
    Wu, Xiao
    Chen, Honghan
    Gan, Tao
    Chen, Junzhou
    Ngo, Chong-Wah
    Peng, Qiang
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 35 (07) : 1741 - 1752
  • [14] Safety systems in magnetically driven wireless capsule endoscopy
    Salerno, M.
    Mazzocchi, T.
    Ranzani, T.
    Mulana, F.
    Dario, P.
    Menciassi, A.
    2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2013, : 3090 - 3095
  • [15] Decision support systems in Wireless Capsule Endoscopy: Revisited
    Kodogiannis, Vassilis S.
    INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2007, 1 (1-2): : 17 - 31
  • [16] Developing a Portable Autofluorescence Detection System and Its Application in Biological Samples
    Zhou, Jiaxing
    Li, Yunfei
    Zhang, Jinfeng
    Cai, Fuhong
    SENSORS, 2024, 24 (11)
  • [17] Dilated CNN for abnormality detection in wireless capsule endoscopy images
    Nidhi Goel
    Samarjeet Kaur
    Deepak Gunjan
    S. J. Mahapatra
    Soft Computing, 2022, 26 : 1231 - 1247
  • [18] Detection of small colon bleeding in wireless capsule endoscopy videos
    Usman, Muhammad Arslan
    Satrya, G. S.
    Usman, Muhammad Rehan
    Shin, Soo Young
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2016, 54 : 16 - 26
  • [19] Saliency Based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis
    Yuan, Yixuan
    Wang, Jiaole
    Li, Baopu
    Meng, Max Q. -H.
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 34 (10) : 2046 - 2057
  • [20] Improved Wireless Capsule Endoscope Localization with Phase Detection Algorithm
    Oleksy, Pawel
    Januszkiewicz, Lukasz
    2021 SIGNAL PROCESSING SYMPOSIUM (SPSYMPO), 2021, : 206 - 211