Continuous Hue-Based Self-Calibration of a Smartphone Spectrometer Applied to Optical Fiber Fabry-Perot Sensor...

Area of Science:

• Optical sensing
• Spectroscopy
• Mobile technology

Background:

• Smartphone spectrometers offer portable and cost-effective optical sensing.
• Traditional calibration requires external light sources and frequent recalibration.
• Temperature fluctuations cause wavelength scale drift in smartphone spectrometers.

Purpose of the Study:

• To develop a novel spectral self-calibration approach for smartphone spectrometers.
• To eliminate the need for repeated external calibration and compensate for temperature drift.
• To enable plug-and-play operation for portable optical sensing.

Main Methods:

• Utilized the relationship between light wavelength and hue features captured by the smartphone's RGB camera.
• Leveraged non-uniformity and overlap of camera RGB filters for self-calibration.
• Demonstrated continuous verification and correction of the wavelength scale.

Main Results:

• Achieved a self-calibration method eliminating the need for frequent recalibration.
• Demonstrated plug-and-play operation and effective temperature drift elimination.
• Experimentally verified nanometer-level optical path difference resolution using an optical fiber Fabry-Perot interferometric sensor.

Conclusions:

• The proposed self-calibration approach significantly enhances the usability and reliability of smartphone spectrometers.
• This method allows for a one-time external calibration, with continuous in-situ correction.
• The technology paves the way for widespread adoption of portable, high-resolution optical sensing.