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Raman ChemLighter: Fiber optic Raman probe imaging in combination with augmented chemical reality
Author(s) -
Yang Wei,
Mondol Abdullah S.,
Stiebing Clara,
Marcu Laura,
Popp Jürgen,
Schie Iwan W.
Publication year - 2019
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201800447
Subject(s) - raman spectroscopy , optical fiber , chemical imaging , sample (material) , augmented reality , data acquisition , computer science , raman microspectroscopy , fiber , materials science , optics , artificial intelligence , chemistry , hyperspectral imaging , physics , telecommunications , chromatography , composite material , operating system
Raman spectroscopy using fiber optic probe combines non‐contacted and label‐free molecular fingerprinting with high mechanical flexibility for biomedical, clinical and industrial applications. Inherently, fiber optic Raman probes provide information from a single point only, and the acquisition of images is not straightforward. For many applications, it is highly crucial to determine the molecular distribution and provide imaging information of the sample. Here, we propose an approach for Raman imaging using a handheld fiber optic probe, which is built around computer vision–based assessment of positional information and simultaneous acquisition of spectroscopic information. By combining this implementation with real‐time data processing and analysis, it is possible to create not only fiber‐based Raman imaging but also an augmented chemical reality image of the molecular distribution of the sample surface in real‐time. We experimentally demonstrated that using our approach, it is possible to determine and to distinguish borders of different bimolecular compounds in a short time. Because the method can be transferred to other optical probes and other spectroscopic techniques, it is expected that the implementation will have a large impact for clinical, biomedical and industrial applications.