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Notice of retraction
Vol. 34, No. 8(3), S&M3042

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

Print: ISSN 0914-4935
Online: ISSN 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.
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Sensors and Materials, Volume 31, Number 8(3) (2019)
Copyright(C) MYU K.K.
pp. 2579-2594
S&M1958 Research Paper
https://doi.org/10.18494/SAM.2019.2358
Published: August 30, 2019

Lens-free Dual-color Fluorescent CMOS Image Sensor for Förster Resonance Energy Transfer Imaging [PDF]

Wan Shen Hee, Kiyotaka Sasagawa, Aiki Kameyama, Ayaka Kimura, Makito Haruta, Takashi Tokuda, and Jun Ohta

(Received March 12, 2019; Accepted July 4, 2019)

Keywords: lens-free sensor, CMOS image sensor, hybrid filter, Förster resonance energy transfer (FRET), fluorescence imaging

In this study, a lens-free dual-color bio-imaging system is developed. This system utilizes a small CMOS image sensor chip as the imager. By coupling alternate lines of blue and yellow-green filters coated on photodiodes, we can simultaneously detect cyan and yellow fluorescent lights using the device. By equipping the device with a hybrid filter made of a bandpass interference filter, a fiber optic plate (FOP), and a pale-yellow absorption filter, we can achieve an excitation light extinction ratio of approximately −57 dB. By using fluorescent beads of two different colors, we can confirm the operation of the image sensor. Individual images from the cyan and yellow channels can be obtained after data processing, and subsequently the yellow-to-cyan image ratio can also be determined. The results show that our device can be used to study Förster resonance energy transfer (FRET) and can thus be applied to investigate the progression of diseases such as cancer.

Corresponding author: Kiyotaka Sasagawa


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Cite this article
Wan Shen Hee, Kiyotaka Sasagawa, Aiki Kameyama, Ayaka Kimura, Makito Haruta, Takashi Tokuda, and Jun Ohta, Lens-free Dual-color Fluorescent CMOS Image Sensor for Förster Resonance Energy Transfer Imaging, Sens. Mater., Vol. 31, No. 8, 2019, p. 2579-2594.



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