
1.Leibniz Institute of Photonic Technology Jena, Albert-Einstein-Straße 9, 07745, Jena, Germany
2.Department of Trauma, Hand and Reconstructive Surgery, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany
3.Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany
4.Department of Medical Engineering and Biotechnology, University of Applied Sciences - Jena, Carl-Zeiss-Promenade 2, 07745, Jena, Germany
Iwan W. Schie (iwan.schie@leibniz-ipht.de)
Published:31 May 2022,
Published Online:08 April 2022,
Received:30 September 2021,
Revised:09 March 2022,
Accepted:19 March 2022
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Yang, W. et al. Real-time molecular imaging of near-surface tissue using Raman spectroscopy. Light: Science & Applications, 11, 820-831 (2022).
Yang, W. et al. Real-time molecular imaging of near-surface tissue using Raman spectroscopy. Light: Science & Applications, 11, 820-831 (2022). DOI: 10.1038/s41377-022-00773-0.
The steady progress in medical diagnosis and treatment of diseases largely hinges on the steady development and improvement of modern imaging modalities. Raman spectroscopy has attracted increasing attention for clinical applications as it is label-free
non-invasive
and delivers molecular fingerprinting information of a sample. In combination with fiber optic probes
it also allows easy access to different body parts of a patient. However
image acquisition with fiber optic probes is currently not possible. Here
we introduce a fiber optic probe-based Raman imaging system for the real-time molecular virtual reality data visualization of chemical boundaries on a computer screen and the physical world. The approach is developed around a computer vision-based positional tracking system in conjunction with photometric stereo and augmented and mixed chemical reality
enabling molecular imaging and direct visualization of molecular boundaries of three-dimensional surfaces. The proposed approach achieves a spatial resolution of 0.5 mm in the transverse plane and a topology resolution of 0.6 mm
with a spectral sampling frequency of 10 Hz
and can be used to image large tissue areas in a few minutes
making it highly suitable for clinical tissue-boundary demarcation. A variety of applications on biological samples
i.e.
distribution of pharmaceutical compounds
brain-tumor phantom
and various types of sarcoma have been characterized
showing that the system enables rapid and intuitive assessment of molecular boundaries.
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