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A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

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Published on: May 30, 2016

Complementary Fourier Single-Pixel Imaging.

Dong Zhou¹, Jie Cao¹, Huan Cui¹

¹Key Laboratory of Biomimetic Robots and Systems, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)

|October 13, 2021

Summary

This summary is machine-generated.

Complementary Fourier single-pixel imaging (CFSI) enhances imaging efficiency and quality by reducing measurements. This novel approach offers robust, real-time imaging capabilities, outperforming conventional Fourier single-pixel imaging methods.

Keywords:

Fourier patterns complementary nature phase-shift algorithm single-pixel imaging

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Area of Science:

Optics and Photonics
Computational Imaging
Image Reconstruction

Background:

Single-pixel imaging (SPI) offers advantages like wide spectrum and scattering robustness.
Fourier single-pixel imaging (FSI) reconstructs images under sub-Nyquist sampling but faces quality-efficiency trade-offs.

Purpose of the Study:

To introduce Complementary Fourier Single-Pixel Imaging (CFSI) for improved imaging efficiency and robustness.
To reduce measurement requirements in Fourier single-pixel imaging while maintaining image quality.

Main Methods:

CFSI combines complementary Fourier patterns with a digital micromirror device.
It utilizes a four-step phase-shift algorithm and differential measurement for spectral value calculation.
Requires only two phase-shifted patterns to acquire one Fourier spectral value.

Main Results:

CFSI significantly reduces the number of measurements compared to traditional FSI methods.
Experimental and simulation results demonstrate CFSI's superior performance.
The method shows robustness to noise through differential measurements.

Conclusions:

CFSI provides an effective alternative for real-time, high-quality imaging.
The technique balances imaging quality and efficiency, overcoming limitations of conventional FSI.
CFSI offers a promising direction for advanced single-pixel imaging applications.