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Related Experiment Video

Updated: Oct 18, 2025

Single Molecule Fluorescence Microscopy on Planar Supported Bilayers

Single Molecule Fluorescence Microscopy on Planar Supported Bilayers

Published on: October 31, 2015

Full-color photon-counting single-pixel imaging.

Ya-Nan Zhao, Hong-Yun Hou, Jia-Cheng Han

|October 1, 2021

Summary

This summary is machine-generated.

We developed a novel single-pixel imaging method using photon counting and time multiplexing to capture full-color images under extremely low light. This technique enables efficient, high-quality color imaging with minimal light exposure.

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Last Updated: Oct 18, 2025

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Area of Science:

Optics and Photonics
Computational Imaging
Low-Light Imaging Technologies

Background:

Single-pixel imaging (SPI) traditionally struggles with low light levels and color acquisition.
Existing methods often require multiple measurements or higher light intensity for full-color imaging.

Purpose of the Study:

To develop a high-efficiency SPI scheme for full-color imaging at extremely low light levels.
To integrate time-correlated single-photon counting (TCSPC) with time-division multiplexing for enhanced SPI performance.

Main Methods:

Utilized a digital micromirror device for structured illumination with time-delayed laser pulses across three colors.
Employed a photomultiplier tube within a TCSPC module for precise photon-counting detection.
Demodulated spectrum-image-encoded signals using TCSPC's time-resolved capabilities.

Main Results:

Successfully reconstructed high-quality full-color images in a single measurement round.
Demonstrated the scheme's effectiveness under extremely low light conditions.
Showcased potential for further efficiency gains through single-step measurement, high-speed projection, and undersampling strategies.

Conclusions:

The proposed SPI scheme offers a significant advancement in low-light, full-color imaging.
Integration of TCSPC and time-division multiplexing provides a robust solution for spectral and spatial information recovery.
This method paves the way for efficient imaging in light-starved environments.