EconPapers    
Economics at your fingertips  
 

CMOS-based bio-image sensor spatially resolves neural activity-dependent proton dynamics in the living brain

Hiroshi Horiuchi, Masakazu Agetsuma, Junko Ishida, Yusuke Nakamura, Dennis Lawrence Cheung, Shin Nanasaki, Yasuyuki Kimura, Tatsuya Iwata, Kazuhiro Takahashi, Kazuaki Sawada () and Junichi Nabekura ()
Additional contact information
Hiroshi Horiuchi: National Institutes of Natural Sciences
Masakazu Agetsuma: National Institutes of Natural Sciences
Junko Ishida: National Institutes of Natural Sciences
Yusuke Nakamura: Toyohashi University of Technology
Dennis Lawrence Cheung: National Institutes of Natural Sciences
Shin Nanasaki: Toyohashi University of Technology
Yasuyuki Kimura: Toyohashi University of Technology
Tatsuya Iwata: Toyohashi University of Technology
Kazuhiro Takahashi: Toyohashi University of Technology
Kazuaki Sawada: Toyohashi University of Technology
Junichi Nabekura: National Institutes of Natural Sciences

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: Abstract Recent studies have shown that protons can function as neurotransmitters in cultured neurons. To further investigate regional and neural activity-dependent proton dynamics in the brain, the development of a device with both wide-area detectability and high spatial-ltemporal resolution is necessary. Therefore, we develop an image sensor with a high spatial-temporal resolution specifically designed for measuring protons in vivo. Here, we demonstrate that spatially deferent neural stimulation by visual stimulation induced distinct patterns of proton changes in the visual cortex. This result indicates that our biosensor can detect micrometer and millisecond scale changes of protons across a wide area. Our study demonstrates that a CMOS-based proton image sensor with high spatial and temporal precision can be used to detect pH changes associated with biological events. We believe that our sensor may have broad applicability in future biological studies.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-020-14571-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14571-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-14571-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14571-y