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Compressive Raman imaging by combining scattering-projection interleaving with context-aware excitation.
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Researchers improved a rapid Raman imaging technique called SIRI by adding context-aware laser excitation, demonstrating its effectiveness for identifying microplastics. Faster and more accurate Raman imaging methods can make environmental microplastic analysis more efficient, supporting broader monitoring programs.
Exciting an object with a laser-focus array and randomly interleaving its scattering projection has been proved to be an effective strategy for speeding up Raman imaging. The so-called scattering interleaved Raman imaging (SIRI) method allows Raman hyperspectral imaging with a single snapshot and exhibits excellent reconstruction fidelity and signal-to-noise ratios (SNRs). Here, we show that the performance of SIRI is significantly improved when combined with context-aware excitation. The experiments on micro-plastics demonstrate that the restriction of Raman excitation within a smaller region of interest as guided by bright-field microscopy improves the signal intensity and the SNR, and it is surprising that the spectral resolution is also significantly improved. The context-aware SIRI method is successfully used for imaging of lipid-producing yeast cells, suggesting that it is a promising analytical tool for studying live cells or tissues.
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