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Related Experiment Video

Updated: Sep 12, 2025

Wide-field Single-photon Optical Recording in Brain Slices Using Voltage-sensitive Dye

Wide-field Single-photon Optical Recording in Brain Slices Using Voltage-sensitive Dye

Published on: June 20, 2019

Optical segmentation-based compressed readout of neuronal voltage dynamics.

Seonghoon Kim^1,2,3, Jongmin Yoon^4,5, Gwanho Ko^4,5

¹School of Biological Sciences, Seoul National University, Seoul, 08826, Republic of Korea. kim@tsinghua.edu.cn.

Nature Communications

|August 5, 2025

Summary

This summary is machine-generated.

This study introduces a novel imaging pipeline that compresses data acquisition by assigning each region of interest (ROI) to a single detector pixel. This method enables faster, more efficient recording of biological dynamics, like neuronal voltage signals.

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Last Updated: Sep 12, 2025

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Published on: November 29, 2012

Area of Science:

Neuroscience
Biophysics
Optical Imaging

Background:

Functional imaging typically involves time-series image acquisition and quantification of intensity traces for regions of interest (ROIs).
Conventional methods often result in inefficient data acquisition, discarding significant amounts of collected data during intensity trace quantification.

Purpose of the Study:

To develop a novel, conceptually different acquisition pipeline for functional imaging.
To enable optimally compressed acquisition of intensity traces by assigning each ROI to a single detector pixel.

Main Methods:

Implementation of a detection module with spatial light modulators and a microlens array.
Segmentation of images into subimages, with each subimage encoding the signal for a specific ROI via angular shifts.
Utilizing single-pixel readout for compressed intensity trace acquisition per ROI.

Main Results:

Achieved spatial compression that maximizes temporal information capture without sacrificing spatial details of ROIs.
Demonstrated the recording of circuit-scale neuronal voltage dynamics at sampling rates exceeding 5 kHz.
Successfully revealed individual action potential waveforms and submillisecond temporal delays within subcellular structures.

Conclusions:

The proposed novel acquisition pipeline offers a significant improvement in data acquisition efficiency for functional imaging.
This approach allows for high-speed, high-resolution recording of complex biological dynamics, such as neuronal activity.
The method has the potential to advance our understanding of neural circuit function and dynamics at unprecedented temporal scales.