Laser Confocal Raman Spectroscopy Imaging Technology and System with Anti-Drift Function

Shu Cheng Li, Yun Wang*, Han Cui, Li Rong Qiu, Wei Qian Zhao, Ke Zhu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Confocal Raman technique, which combines confocal microscopy and Raman spectroscopy techniques, plays an important role in the field of physical science, material science, biomedical and cultural relics identification, criminal investigation with high resolution, high sensitivity, and the advantages of tomography. The existing commercial confocal Raman spectrometers have no fixed focus ability so that the sample table drift caused by defocus often appears in the measurement, which affects the measurement results. In view of this problem, a laser confocal Raman spectroscopy detection system with anti-drift capability was developed in this paper. Based on the confocal Raman detection principle, this system could realize auto focus by using Raman axial response curve of the maximum confocal position of the corresponding samples. The spectral intensity extremum position was obtained by curve fitting, and it realized the real-time location of measured samples at the confocal position to improve the effect of Raman spectral imaging. In this paper, we used the single layer graphene samples for single point test and the auto focus could be realized in 5 μm, and the intensity we got has almost no changes. We can say the system has a better ability of anti-drift. We got Raman imaging of silicon step samples. We could find that it had stable single and better lateral resolution, which was obviously superior to the conventional confocal Raman spectrum detection system in long time measurement.

Original languageEnglish
Pages (from-to)3249-3254
Number of pages6
JournalGuang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
Volume37
Issue number10
DOIs
Publication statusPublished - 1 Oct 2017

Keywords

  • Anti-drift
  • Confocal Raman
  • Spectrum imaging

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