Self-Reset Image Sensor With a Signal-to-Noise Ratio Over 70 dB and Its Application to Brain Surface Imaging

Thanet Pakpuwadon, Kiyotaka Sasagawa, Mark Christian Guinto, Yasumi Ohta, Makito Haruta, Hironari Takehara, Hiroyuki Tashiro, Jun Ohta

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number667932
JournalFrontiers in Neuroscience
Volume15
DOIs
Publication statusPublished - Jun 15 2021

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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