Piezospectroscopic imaging with a tunable Fabry-Perot filter and Tikhonov reconstruction

Area of Science:

• Materials Science
• Spectroscopy
• Optical Imaging

Background:

• Accurate measurement of local crystal lattice stress is crucial for understanding material properties.
• Current techniques for stress mapping are often slow and labor-intensive.
• Multispectral imaging and data inversion are established but require integration for advanced applications.

Purpose of the Study:

• To develop a fast and accurate method for pixel-level spectral measurement.
• To demonstrate a novel approach for piezospectroscopic imaging.
• To enable rapid mapping of local stress in materials.

Main Methods:

• Combined multispectral imaging with a tunable filter and regularized data inversion.
• Utilized a tilt-tunable Fabry-Perot interference filter for data acquisition.
• Employed regularization techniques to address ill-conditioned data inversion problems.

Main Results:

• Achieved high peak wavelength accuracy (0.01 nm) for spectral reconstruction.
• Successfully demonstrated the technique using ruby R(1)- and R(2)-line fluorescence.
• The method provides 2 to 3 orders of magnitude faster stress mapping compared to current techniques.

Conclusions:

• The developed technique offers a significant advancement in piezospectroscopic imaging.
• This novel approach enables rapid and precise characterization of local stress in materials.
• The method has the potential to revolutionize materials analysis and stress engineering.