Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語


 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.

MYU Research

(proofreading and recording)

(translation service)

The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 32, Number 11(2) (2020)
Copyright(C) MYU K.K.
pp. 3669-3678
S&M2367 Research Paper of Special Issue
Published: November 18, 2020

Barcode Recognition for Multistrip Lateral Flow Assay Reader [PDF]

Ji-Seong Park, Yong-Oh Lee, Chan-Young Park, Yu-Seop Kim, Ki-Bong Nahm, and Jong-Dae Kim

(Received June 30, 2020; Accepted October 6, 2020)

Keywords: lateral flow strip, barcode, template matching, device-to-device deviation

In this paper, we present a method of recognizing the barcodes of individual strips using a single camera in a quantitative fluorescence analysis system that can process multiple lateral-flow strips simultaneously. The proposed method eliminates the need for multiple scanners or a scanning mechanism. The presence or absence of strips in each slot was determined, and the position of the start bit was detected by template matching to find the barcode area. After the start bit was located, the rest of the bit area was found using the barcode dimensions and the estimated image spatial resolution obtained while calibrating the instrument. The value of each bit was determined using the average along the central line with 60% of the width of the bit area. Sixteen cartridge images were obtained under various illuminations to statistically evaluate the thresholds for the investigation of various parameters, such as the existence of the strip, the successful detection of the start bit position, and each bit value. The threshold values were determined using the two-class mixed Gaussian model to minimize errors. Experimental results show that the error rates for all parameters were negligible.

Corresponding author: Jong-Dae Kim

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Ji-Seong Park, Yong-Oh Lee, Chan-Young Park, Yu-Seop Kim, Ki-Bong Nahm, and Jong-Dae Kim, Barcode Recognition for Multistrip Lateral Flow Assay Reader, Sens. Mater., Vol. 32, No. 11, 2020, p. 3669-3678.

Forthcoming Regular Issues

Forthcoming Special Issues

Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2019 (Bio4Apps 2019) (1)
Guest editor, Hirofumi Nogami and Masaya Miyazaki (Kyushu University)
Conference website

Special Issue on Optical Sensors: Novel Materials, Approaches, and Applications
Guest editor, Yap Wing Fen (Universiti Putra Malaysia)

Special Issue on Intelligent Sensing Control Analysis, Optimization, and Automation (2)
Guest editor, Cheng-Chi Wang (National Chin-Yi University of Technology)

Special Issue on Geomatics Technologies for the Realization of Smart Cities (2)
Guest editor, He Huang and XiangLei Liu (Beijing University of Civil Engineering and Architecture)

Special Issue on Cyber–Physical Systems (CPS) and Internet of Things (IoT)
Guest editor, Yutaka Arakawa (Kyushu University)

Special Issue on Sensors and Materials Emerging Investigators in Japan
Guest editor, Tsuyoshi Minami (The University of Tokyo)

Copyright(C) MYU K.K. All Rights Reserved.