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Single Molecule Fluorescence Microscopy on Planar Supported Bilayers

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Compressed single pixel imaging in the spatial frequency domain.

Mohammad Torabzadeh¹, Il-Yong Park², Randy A Bartels³

¹Beckman Laser Institute, Laser Microbeam and Medical Program, Irvine, California, United StatesbUniversity of California, Department of Biomedical Engineering, Irvine, California, United States.

Journal of Biomedical Optics

|March 17, 2017

Summary

This summary is machine-generated.

Compressed sensing single pixel spatial frequency domain imaging (cs-SFDI) enables wide-field quantitative imaging of tissue optical properties. This method accurately recovers absorption and scattering coefficients across multiple near-infrared wavelengths.

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Area of Science:

Biomedical Optics
Medical Imaging
Photonics

Background:

Spatial Frequency Domain Imaging (SFDI) is crucial for non-invasively characterizing tissue optical properties.
Traditional SFDI methods often require complex camera systems and can be limited in spectral acquisition speed.
Developing faster, more efficient methods for quantitative tissue optics is essential for clinical applications.

Purpose of the Study:

To introduce and validate a novel compressed sensing single pixel spatial frequency domain imaging (cs-SFDI) technique.
To demonstrate the capability of cs-SFDI for simultaneous multi-wavelength near-infrared (NIR) imaging.
To assess the accuracy of cs-SFDI in quantifying tissue optical properties.

Main Methods:

Development of a compressed sensing approach utilizing a single-element detector for spectral encoding.
Application of cs-SFDI to a tissue phantom over a 35 mm × 35 mm field of view.
Simultaneous acquisition of data at three NIR wavelengths (660, 850, and 940 nm).
Comparison of cs-SFDI results with established camera-based SFDI measurements.

Main Results:

cs-SFDI successfully recovered absorption (μa) and reduced scattering (μs') coefficients.
Accuracy within 7.6% for absorption and 4.3% for reduced scattering compared to camera-based SFDI.
Demonstrated feasibility for wide-field imaging at clinically relevant NIR wavelengths.

Conclusions:

cs-SFDI offers a promising alternative for quantitative tissue optical property characterization.
The technique supports multi- and hyperspectral imaging capabilities.
Potential for dynamic imaging of tissue optical and physiological properties.