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Updated: Dec 29, 2025

Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States
Published on: January 19, 2024
CMOS-based bio-image sensor spatially resolves neural activity-dependent proton dynamics in the living brain
Hiroshi Horiuchi1,2, Masakazu Agetsuma1, Junko Ishida1
1Division of Homeostatic Development, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan.
Researchers developed a novel CMOS image sensor to measure proton dynamics in the brain. This biosensor detects pH changes with high spatial-temporal resolution, revealing distinct proton patterns during neural activity.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Sensor Technology
Background:
- Emerging evidence suggests protons act as neurotransmitters in cultured neurons.
- Understanding brain proton dynamics requires tools with high spatial-temporal resolution and wide-area coverage.
- Current methods are insufficient for in vivo measurement of proton activity in specific brain regions.
Purpose of the Study:
- To develop a novel image sensor for in vivo proton measurement in the brain.
- To investigate regional and neural activity-dependent proton dynamics with high precision.
- To demonstrate the sensor's capability in detecting localized pH changes during neural stimulation.
Main Methods:
- Development of a CMOS-based image sensor with high spatial and temporal resolution.
- In vivo application of the sensor to measure proton changes in the visual cortex.
- Utilizing visual stimulation to induce spatially differential neural activity and observe corresponding proton dynamics.
Main Results:
- The developed biosensor successfully detected distinct patterns of proton changes in the visual cortex.
- Demonstrated micrometer and millisecond scale detection of proton changes across a wide area.
- Confirmed the sensor's ability to capture pH variations linked to specific biological events.
Conclusions:
- A CMOS-based proton image sensor offers high spatial and temporal precision for biological measurements.
- The sensor can detect in vivo pH changes associated with neural activity.
- This technology holds significant potential for future biological and neuroscience research.
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