TY - JOUR
T1 - Self-Reset Image Sensor With a Signal-to-Noise Ratio Over 70 dB and Its Application to Brain Surface Imaging
AU - Pakpuwadon, Thanet
AU - Sasagawa, Kiyotaka
AU - Guinto, Mark Christian
AU - Ohta, Yasumi
AU - Haruta, Makito
AU - Takehara, Hironari
AU - Tashiro, Hiroyuki
AU - Ohta, Jun
N1 - Funding Information:
This work was supported by the Futaba Foundation, the Japan Society for the Promotion of Science (KAKENHI Grant 18H03519 and 21H03809), the Japan Science and Technology Agency (JST), and Core Research for Evolutional Science and Technology Program (CREST, JPMJCR1654). The CMOS chips were designed with the support of the VLSI Design and Education Centre (VDEC), University of Tokyo, in collaboration with the Cadence Corporation and the Mentor Graphics Corporation.
Funding Information:
Funding. This work was supported by the Futaba Foundation, the Japan Society for the Promotion of Science (KAKENHI Grant 18H03519 and 21H03809), the Japan Science and Technology Agency (JST), and Core Research for Evolutional Science and Technology Program (CREST, JPMJCR1654). The CMOS chips were designed with the support of the VLSI Design and Education Centre (VDEC), University of Tokyo, in collaboration with the Cadence Corporation and the Mentor Graphics Corporation.
Publisher Copyright:
© Copyright © 2021 Pakpuwadon, Sasagawa, Guinto, Ohta, Haruta, Takehara, Tashiro and Ohta.
PY - 2021/6/15
Y1 - 2021/6/15
N2 - In this study, we propose a complementary-metal-oxide-semiconductor (CMOS) image sensor with a self-resetting system demonstrating a high signal-to-noise ratio (SNR) to detect small intrinsic signals such as a hemodynamic reaction or neural activity in a mouse brain. The photodiode structure was modified from N-well/P-sub to P+/N-well/P-sub to increase the photodiode capacitance to reduce the number of self-resets required to decrease the unstable stage. Moreover, our new relay board was used for the first time. As a result, an effective SNR of over 70 dB was achieved within the same pixel size and fill factor. The unstable state was drastically reduced. Thus, we will be able to detect neural activity. With its compact size, this device has significant potential to become an intrinsic signal detector in freely moving animals. We also demonstrated in vivo imaging with image processing by removing additional noise from the self-reset operation.
AB - In this study, we propose a complementary-metal-oxide-semiconductor (CMOS) image sensor with a self-resetting system demonstrating a high signal-to-noise ratio (SNR) to detect small intrinsic signals such as a hemodynamic reaction or neural activity in a mouse brain. The photodiode structure was modified from N-well/P-sub to P+/N-well/P-sub to increase the photodiode capacitance to reduce the number of self-resets required to decrease the unstable stage. Moreover, our new relay board was used for the first time. As a result, an effective SNR of over 70 dB was achieved within the same pixel size and fill factor. The unstable state was drastically reduced. Thus, we will be able to detect neural activity. With its compact size, this device has significant potential to become an intrinsic signal detector in freely moving animals. We also demonstrated in vivo imaging with image processing by removing additional noise from the self-reset operation.
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U2 - 10.3389/fnins.2021.667932
DO - 10.3389/fnins.2021.667932
M3 - Article
AN - SCOPUS:85121184730
VL - 15
JO - Frontiers in Neuroscience
JF - Frontiers in Neuroscience
SN - 1662-4548
M1 - 667932
ER -