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RESEARCH PAPER / 2026-03-04

Label-free in vivo molecular profiling of the human retina by non-resonant Raman spectroscopy.

Ryan Sentosa, Milana Kendrisic, Matthias Salas, Matthias Eibl, Michael Schmitt, Vasyl Shynkar, Wim de Jong, Heiko Stino, Andreas Pollreisz, Michael Kempe, Jürgen Popp, Tilman Schmoll, Marco Andreana, Angelika Unterhuber, Wolfgang Drexler, Rainer A Leitgeb

Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria. · pubmed

Abstract

Early detection of retinal molecular biomarkers is crucial for addressing the unmet clinical need to prevent irreversible neural tissue damage in ophthalmic and neurodegenerative diseases. Among emerging molecular sensing techniques, non-resonant Raman spectroscopy stands out as a naturally label-free and noninvasive method, offering rich biochemical information. However, in vivo detection of non-resonant Raman spectra from retinal tissue has proven to be challenging so far. Previous studies have reported conflicting results, likely due to overwhelming pigment autofluorescence. In this study, we identified the optic nerve head as the optimal retinal location for acquiring non-resonant Raman spectra in the molecular fingerprint region. Through longitudinal intra-subject measurements, we revealed dynamic changes in the molecular composition. Furthermore, a comparative study across age groups enabled the identification of molecular alterations associated with aging. These findings establish a critical foundation for utilizing non-resonant Raman spectroscopy as an early diagnostic tool for the detection of molecular biomarkers associated with ophthalmic and neurodegenerative diseases.

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Research summary

The study identifies the optic nerve head as an optimal location for acquiring non-resonant Raman spectra, revealing molecular alterations associated with aging. This research is relevant as it aims to detect early molecular biomarkers that could help in understanding and potentially addressing age-related neurodegenerative diseases.

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