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In vivo Raman spectroscopy for real-time biochemical assessment of tissue pathology and physiology

Abstract

In vivo Raman spectroscopy (RS) enables fast, label-free evaluation of tissue biochemistry in situ with high molecular specificity. The Raman spectrum provides a chemical ‘fingerprint’ of tissue composition, facilitating investigations of dynamic changes in real-time in various physiological and pathophysiological states. This capability makes in vivo RS a promising approach for rapid diagnostics, surgical guidance and biological research. Despite its numerous advantages, the widespread acceptance of RS for in vivo measurements has been hindered by the lack of a standardized stepwise protocol. This protocol serves as a guide for applying RS in vivo and includes steps for proper instrument selection, system alignment, calibration, system parameter setup, in vivo data collection, instrument cleaning, spectral pre-processing, data analysis and interpretation. Troubleshooting information is described for overcoming challenges in acquiring in vivo RS data due to inherently weak Raman signals, variable tissue optical properties, autofluorescence background and interference from ambient lighting and off-target tissues. Specific steps for applying in vivo RS in the skin, cervix, esophagus and colon are described and can be readily adapted to probe other organs. Typical parameters for acquiring and processing in vivo Raman spectra, as well as example spectral output from different organs, are provided for reference. Ultimately, this standardized protocol serves as a guideline to enhance the repeatability of in vivo RS studies and further expand the adoption of this approach as a research and clinical tool.

Key points

  • This protocol details a standardized procedure for conducting in vivo Raman spectroscopy experiments, enabling label-free analysis of tissue biochemistry in situ with high specificity in the presence of water. The protocol includes applications in diagnostics, therapeutic monitoring and biological research in multiple human organs.

  • Alternative label-free methods for acquiring molecular information from biological tissues include autofluorescence spectroscopy, diffuse reflectance spectroscopy and Fourier transform IR spectroscopy.

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Fig. 1: Procedures for performing an in vivo RS study.
Fig. 2: In vivo Raman system instrumentation.
Fig. 3: Troubleshooting for in vivo RS measurements.
Fig. 4: In vivo RS for human skin assessment.
Fig. 5: In vivo Raman spectra of the human cervix.
Fig. 6: In vivo Raman spectra from human gastrointestinal tissue.

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Data availability

Source data for the figures in this protocol are available at figshare.com with the identifier https://doi.org/10.6084/m9.figshare.29474396 (ref. 114). Source data are provided with this paper.

Code availability

Code for Raman data pre-processing is available at figshare.com with the identifier https://doi.org/10.6084/m9.figshare.29474396 (ref. 114) and at https://github.com/MJLabVBC/in-vivo-raman-spectroscopy.

References

  1. Balas, C. Review of biomedical optical imaging—a powerful, non-invasive, non-ionizing technology for improving in vivo diagnosis. Meas. Sci. Technol. 20, 104020 (2009).

    Article  Google Scholar 

  2. Raman, C. V. & Krishnan, K. S. A new type of secondary radiation. Nature 121, 501–502 (1928).

    Article  CAS  Google Scholar 

  3. Raman, C. V. A change of wave-length in light scattering. Nature 121, 619–619 (1928).

    Article  CAS  Google Scholar 

  4. Kong, K., Kendall, C., Stone, N. & Notingher, I. Raman spectroscopy for medical diagnostics—from in-vitro biofluid assays to in-vivo cancer detection. Adv. Drug Deliv. Rev. 89, 121–134 (2015).

    Article  CAS  PubMed  Google Scholar 

  5. Heng, H. P. S., Shu, C., Zheng, W., Lin, K. & Huang, Z. Advances in real-time fiber-optic Raman spectroscopy for early cancer diagnosis: pushing the frontier into clinical endoscopic applications. Transl. Biophotonics 3, e202000018 (2021).

    Article  Google Scholar 

  6. Pence, I. & Mahadevan-Jansen, A. Clinical instrumentation and applications of Raman spectroscopy. Chem. Soc. Rev. 45, 1958–1979 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Kim, J. A., Wales, D. J. & Yang, G.-Z. Optical spectroscopy for in vivo medical diagnosis—a review of the state of the art and future perspectives. Prog. Biomed. Eng. 2, 042001 (2020).

    Article  Google Scholar 

  8. Croce, A. C. & Bottiroli, G. Autofluorescence spectroscopy and imaging: a tool for biomedical research and diagnosis. Eur. J. Histochem. 58, 2461 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Vishwanath, K. et al. Portable, fiber-based, diffuse reflection spectroscopy (DRS) systems for estimating tissue optical properties. Appl. Spectrosc. 65, 206–215 (2011).

    Article  CAS  Google Scholar 

  10. Movasaghi, Z., Rehman, S. & Ur Rehman, Dr. I. Fourier transform infrared (FTIR) spectroscopy of biological tissues. Appl. Spectrosc. Rev. 43, 134–179 (2008).

    Article  CAS  Google Scholar 

  11. Baker, M. J. et al. Using Fourier transform IR spectroscopy to analyze biological materials. Nat. Protoc. 9, 1771–1791 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Cordero, E. In-vivo Raman spectroscopy: from basics to applications. J. Biomed. Opt. 23, 1–23 (2018).

    Article  PubMed  Google Scholar 

  13. Patil, C. A., Pence, I. J., Lieber, C. A. & Mahadevan-Jansen, A. 1064 nm dispersive Raman spectroscopy of tissues with strong near-infrared autofluorescence. Opt. Lett. 39, 303–306 (2014).

    Article  CAS  PubMed  Google Scholar 

  14. Pence, I. J., O’Brien, C. M., Masson, L. E. & Mahadevan-Jansen, A. Application driven assessment of probe designs for Raman spectroscopy. Biomed. Opt. Express 12, 852–871 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Fitzgerald, S., Marple, E. & Mahadevan-Jansen, A. Performance assessment of probe-based Raman spectroscopy systems for biomedical analysis. Biomed. Opt. Express 14, 3597–3609 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Agenant, M. et al. Clinical superficial Raman probe aimed for epithelial tumor detection: phantom model results. Biomed. Opt. Express 5, 1203–1216 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Mo, J., Zheng, W. & Huang, Z. Fiber-optic Raman probe couples ball lens for depth-selected Raman measurements of epithelial tissue. Biomed. Opt. Express 1, 17–30 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Mahadevan-Jansen, A., Mitchell, M. F., Ramanujam, N., Utzinger, U. & Richards-Kortum, R. Development of a fiber optic probe to measure NIR Raman spectra of cervical tissue in vivo. Photochem. Photobiol. 68, 427–431 (1998).

    Article  CAS  PubMed  Google Scholar 

  19. Puppels, G. J. et al. In-vivo tissue characterization by Raman spectroscopy. In Proceedings. Infrared Spectroscopy: New Tool in Medicine Vol. 3257 (eds. Mantsch, H. H. & Jackson, M.) 78–83 (SPIE, San Jose, California, USA, 1998).

  20. Lieber, C. A., Majumder, S. K., Ellis, D. L., Billheimer, D. D. & Mahadevan-Jansen, A. In vivo nonmelanoma skin cancer diagnosis using Raman microspectroscopy. Lasers Surg. Med. 40, 461–467 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Pence, I. J., Vargis, E. & Mahadevan-Jansen, A. Assessing variability of in vivo tissue Raman spectra. Appl. Spectrosc. 67, 789–800 (2013).

    Article  CAS  PubMed  Google Scholar 

  22. Patil, C. A., Kirshnamoorthi, H., Ellis, D. L., Van Leeuwen, T. G. & Mahadevan-Jansen, A. A clinical instrument for combined raman spectroscopy-optical coherence tomography of skin cancers. Lasers Surg. Med. 43, 143–151 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  23. O’Brien, C. M. et al. Development of a visually guided Raman spectroscopy probe for cervical assessment during pregnancy. J. Biophotonics 12, e201800138 (2019).

    Article  PubMed  Google Scholar 

  24. Keller, M. D. et al. Development of a spatially offset Raman spectroscopy probe for breast tumor surgical margin evaluation. J. Biomed. Opt. 16, 077006 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Locke, A. et al. In vivo Raman spectroscopy reveals biochemical composition of the esophageal tissue in pediatric eosinophilic esophagitis. Clin. Transl. Gastroenterol. 15, e00665 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Pence, I. J. et al. Clinical characterization of in vivo inflammatory bowel disease with Raman spectroscopy. Biomed. Opt. Express 8, 524–535 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Utzinger, U. et al. Near-infrared Raman spectroscopy for in vivo detection of cervical precancers. Appl. Spectrosc. 55, 955–959 (2001).

    Article  CAS  Google Scholar 

  28. O’Brien, C. M. et al. In vivo Raman spectroscopy for biochemical monitoring of the human cervix throughout pregnancy. Am. J. Obstet. Gynecol. 218, 528.e1–528.e18 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  29. Masson, L. E. et al. In vivo Raman spectroscopy monitors cervical change during labor. A. J. Obstet. Gynecol. 227, 275.e1–275.e14 (2022).

    Article  CAS  Google Scholar 

  30. Haugen, E. J. et al. Biochemical detection of pediatric eosinophilic esophagitis using high wavenumber Raman endoscopy and stimulated Raman microscopy. Sci. Rep. 15, 22471 (2025).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Draga, R. O. P. et al. In vivo bladder cancer diagnosis by high-volume Raman spectroscopy. Anal. Chem. 82, 5993–5999 (2010).

    Article  CAS  PubMed  Google Scholar 

  32. Liu, Y., Ye, F., Yang, C. & Jiang, H. Use of in vivo Raman spectroscopy and cryoablation for diagnosis and treatment of bladder cancer. Spectrochim. Acta A Mol. Biomol. Spectrosc. 308, 123707 (2024).

    Article  CAS  PubMed  Google Scholar 

  33. Stomp-Agenant, M. et al. In vivo Raman spectroscopy for bladder cancer detection using a superficial Raman probe compared to a nonsuperficial Raman probe. J. Biophotonics 15, e202100354 (2022).

    Article  CAS  PubMed  Google Scholar 

  34. Latka, I. et al. Raman spectroscopy for instant bladder tumor diagnosis: system development and in vivo proof-of-principle study in accordance with the European Medical Device Regulation (MDR2017/745). Cancers (Basel) 16, 3238 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Mahadevan-Jansen, A. & Richards-Kortum, R. R. Raman spectroscopy for the detection of cancers and precancers. J. Biomed. Opt. 1, 31–70 (1996).

    Article  CAS  PubMed  Google Scholar 

  36. Duraipandian, S. et al. Simultaneous fingerprint and high-wavenumber confocal Raman spectroscopy enhances early detection of cervical precancer in vivo. Anal. Chem. 84, 5913–5919 (2012).

    Article  CAS  PubMed  Google Scholar 

  37. Robichaux-Viehoever, A. et al. Characterization of Raman spectra measured in vivo for the detection of cervical dysplasia. Appl. Spectrosc. 61, 986–993 (2007).

    Article  CAS  PubMed  Google Scholar 

  38. Vargis, E. et al. Effect of normal variations on disease classification of Raman spectra from cervical tissue. Analyst 136, 2981–2987 (2011).

    Article  CAS  PubMed  Google Scholar 

  39. Bergholt, M. S. et al. Simultaneous fingerprint and high-wavenumber fiber-optic Raman spectroscopy enhances real-time in vivo diagnosis of adenomatous polyps during colonoscopy. J. Biophotonics 9, 333–342 (2016).

    Article  CAS  PubMed  Google Scholar 

  40. Fousková, M. et al. In vivo Raman spectroscopy in the diagnostics of colon cancer. Analyst 148, 2518–2526 (2023).

    Article  PubMed  Google Scholar 

  41. Vališ, J. et al. Automated classification pipeline for real-time in vivo examination of colorectal tissue using Raman spectroscopy. Spectrochim. Acta A Mol. Biomol. Spectrosc. 313, 124152 (2024).

    Article  PubMed  Google Scholar 

  42. Bergholt, M. S. et al. Characterizing variability of in vivo Raman spectroscopic properties of different anatomical sites of normal colorectal tissue towards cancer Diagnosis at Colonoscopy. Anal. Chem. 87, 960–966 (2015).

    Article  CAS  PubMed  Google Scholar 

  43. Lin, K. et al. Rapid fiber-optic Raman spectroscopy for real-time In vivo detection of gastric intestinal metaplasia during clinical gastroscopy. Cancer Prev. Res. (Phila.) 9, 476–483 (2016).

    Article  CAS  PubMed  Google Scholar 

  44. Wang, J. et al. Simultaneous fingerprint and high-wavenumber fiber-optic Raman spectroscopy improves in vivo diagnosis of esophageal squamous cell carcinoma at endoscopy. Sci. Rep. 5, 12957 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Bergholt, M. S. et al. Characterizing variability in in vivo Raman spectra of different anatomical locations in the upper gastrointestinal tract toward cancer detection. J. Biomed. Opt. 16, 037003 (2011).

    Article  PubMed  Google Scholar 

  46. Singh, S. P., Sahu, A., Deshmukh, A., Chaturvedi, P. & Krishna, C. M. In vivo Raman spectroscopy of oral buccal mucosa: a study on malignancy associated changes (MAC)/cancer field effects (CFE). Analyst 138, 4175–4182 (2013).

    Article  CAS  PubMed  Google Scholar 

  47. Malik, A. et al. In vivo Raman spectroscopy–assisted early identification of potential second primary/recurrences in oral cancers: an exploratory study. Head. Neck 39, 2216–2223 (2017).

    Article  PubMed  Google Scholar 

  48. Shu, C. et al. Deep learning-guided fiberoptic Raman spectroscopy enables real-time In vivo diagnosis and assessment of nasopharyngeal carcinoma and post-treatment efficacy during endoscopy. Anal. Chem. 93, 10898–10906 (2021).

    Article  CAS  PubMed  Google Scholar 

  49. Hanlon, E. B. et al. Prospects for in vivo Raman spectroscopy. Phys. Med. Biol. 45, R1–R59 (2000).

    Article  CAS  PubMed  Google Scholar 

  50. Lemoine, É. et al. Feature engineering applied to intraoperative in vivo Raman spectroscopy sheds light on molecular processes in brain cancer: a retrospective study of 65 patients. Analyst 144, 6517–6532 (2019).

    Article  CAS  PubMed  Google Scholar 

  51. Jermyn, M. et al. Intraoperative brain cancer detection with Raman spectroscopy in humans. Sci. Transl. Med. 7, 274ra19 (2015).

    Article  CAS  PubMed  Google Scholar 

  52. Motz, J. T. et al. In vivo Raman spectral pathology of human atherosclerosis and vulnerable plaque. J. Biomed. Opt. 11, 021003 (2006).

    Article  PubMed  Google Scholar 

  53. Karunakaran, V. et al. Investigating in vivo tumor biomolecular changes following radiation therapy using Raman spectroscopy. ACS Omega 9, 43025–43033 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Horgan, C. C. et al. Integrated photodynamic Raman theranostic system for cancer diagnosis, treatment, and post-treatment molecular monitoring. Theranostics 11, 2006–2019 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Gautam, R. et al. Comparing cervical maturation in preterm and term birth mouse models with Raman spectroscopy (Conference Presentation). In Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry (eds. Petrich, W. & Huang, Z.) (SPIE, San Francisco, California, USA, 2020).

  56. Butler, H. J. et al. Using Raman spectroscopy to characterize biological materials. Nat. Protoc. 11, 664–687 (2016).

    Article  CAS  PubMed  Google Scholar 

  57. Thomas, G. et al. Label-free enhancement of adrenal gland visualization using near-infrared autofluorescence for surgical guidance. World J. Surg. 47, 350–360 (2023).

    Article  PubMed  Google Scholar 

  58. McWade, M. A. et al. A novel optical approach to intraoperative detection of parathyroid glands. Surgery 154, 1371–1377 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  59. Erben, T., Ossig, R., Naim, H. Y. & Schnekenburger, J. What to do with high autofluorescence background in pancreatic tissues—an efficient Sudan black B quenching method for specific immunofluorescence labelling. Histopathology 69, 406–422 (2016).

    Article  PubMed  Google Scholar 

  60. Monroy, G. L. et al. Multimodal handheld probe for characterizing otitis media—integrating Raman spectroscopy and optical coherence tomography. Front. Photon. 3, 929574 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  61. Thomas, R. J. et al. A procedure for laser hazard classification under the Z136.1-2000 American National Standard for Safe Use of Lasers. J. Laser Appl. 14, 57–66 (2002).

    Article  Google Scholar 

  62. Daoust, F. et al. A clinical Raman spectroscopy imaging system and safety requirements for in situ intraoperative tissue characterization. Analyst 148, 1991–2001 (2023).

    Article  CAS  PubMed  Google Scholar 

  63. Laser Institute of America. American National Standard for Safe Use of Lasers. ANSI Z136.1-2014 (2014).

  64. Rådmark, M., Elgcrona, G. & Karlsson, H. Novel narrow linewidth 785 nm diode laser with enhanced spectral purity facilitates low-frequency Raman spectroscopy. In Advanced Chemical Microscopy for Life Science and Translational Medicine (eds. Simpson, G. J., Cheng, J.-X. & Min, W.) 1–7 (SPIE, San Francisco, California, USA, 2020).

  65. Angel, S. M., Carrabba, M. & Cooney, T. F. The utilization of diode lasers for Raman spectroscopy. Spectrochim. Acta A Mol. Biomol. Spectrosc. 51, 1779–1799 (1995).

    Article  Google Scholar 

  66. Bergholt, M. S., Zheng, W. & Huang, Z. Development of a multiplexing fingerprint and high wavenumber Raman spectroscopy technique for real-time in vivo tissue Raman measurements at endoscopy. J. Biomed. Opt. 18, 030502 (2013).

    Article  PubMed  Google Scholar 

  67. Masson, L. E. et al. Dual excitation wavelength system for combined fingerprint and high wavenumber Raman spectroscopy. Analyst 143, 6049–6060 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Santos, L. F., Wolthuis, R., Koljenović, S., Almeida, R. M. & Puppels, G. J. Fiber-optic probes for in vivo Raman spectroscopy in the high-wavenumber region. Anal. Chem. 77, 6747–6752 (2005).

    Article  CAS  PubMed  Google Scholar 

  69. Wang, J., Bergholt, M. S., Zheng, W. & Huang, Z. Development of a beveled fiber-optic confocal Raman probe for enhancing in vivo epithelial tissue Raman measurements at endoscopy. Opt. Lett. 38, 2321–2323 (2013).

    Article  CAS  PubMed  Google Scholar 

  70. Patil, C. A., Bosschaart, N., Keller, M. D., Van Leeuwen, T. G. & Mahadevan-Jansen, A. Combined Raman spectroscopy and optical coherence tomography device for tissue characterization. Opt. Lett. 33, 1135–1137 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  71. Matousek, P. et al. Noninvasive Raman spectroscopy of human tissue in vivo. Appl. Spectrosc. 60, 758–763 (2006).

    Article  CAS  PubMed  Google Scholar 

  72. Wang, S. et al. Monte Carlo simulation of in vivo Raman spectral measurements of human skin with a multi-layered tissue optical model. J. Biophotonics 7, 703–712 (2014).

    Article  CAS  PubMed  Google Scholar 

  73. Gautam, R. et al. Assessment of spatially offset Raman spectroscopy to detect differences in bone matrix quality. Spectrochim. Acta A Mol. Biomol. Spectrosc. 303, 123240 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Fitzgerald, S. T. Noninvasive Characterization of Otitis Media with Image-Guided Raman Spectroscopy. PhD thesis, Vanderbilt Univ. (2024).

  75. Singh, B. et al. Application of vibrational microspectroscopy to biology and medicine. Chem. Biol. 102, 232–244 (2012).

  76. Ramírez-elías, M. G., Alda, J. & González, F. J. Noise and artifact characterization of in vivo Raman spectroscopy skin measurements. Appl. Spectrosc. 66, 650–655 (2012).

    Article  PubMed  Google Scholar 

  77. Vulchi, R. T., Morgunov, V., Junjuri, R. & Bocklitz, T. Artifacts and anomalies in Raman spectroscopy: a review on origins and correction procedures. Molecules 29, 4748 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Kramida, A. & Ralchenko, Y. NIST Atomic Spectra Database, NIST Standard Reference Database 78. National Institute of Standards and Technology https://www.nist.gov/pml/atomic-spectra-database (1999).

  79. E13 Committee. Standard Guide for Raman Shift Standards for Spectrometer Calibration https://store.astm.org/e1840-96r22.html (2022).

  80. Lakowicz, J. R. Instrumentation for Fluorescence Spectroscopy. In Principles of Fluorescence Spectroscopy (ed. Lakowicz, J. R.) 25–61. (Springer US, Boston, MA, USA, 1999).

  81. Serdar, C. C., Cihan, M., Yücel, D. & Serdar, M. A. Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies. Biochem. Med. (Zagreb) 31, 010502 (2021).

    Article  PubMed  Google Scholar 

  82. Gautam, R., Vanga, S., Ariese, F. & Umapathy, S. Review of multidimensional data processing approaches for Raman and infrared spectroscopy. EPJ Techn. Instrum. 2, 8 (2015).

    Article  Google Scholar 

  83. Fang, S. et al. Recent progress and applications of Raman spectrum denoising algorithms in chemical and biological analyses: a review. Trends Analyt. Chem. 172, 117578 (2024).

    Article  CAS  Google Scholar 

  84. Lieber, C. A. & Mahadevan-Jansen, A. Automated method for subtraction of fluorescence from biological Raman spectra. Appl. Spectrosc. 57, 1363–1367 (2003).

    Article  CAS  PubMed  Google Scholar 

  85. Felten, J. et al. Vibrational spectroscopic image analysis of biological material using multivariate curve resolution–alternating least squares (MCR-ALS). Nat. Protoc. 10, 217–240 (2015).

    Article  CAS  PubMed  Google Scholar 

  86. Zhao, J., Carrabba, M. M. & Allen, F. S. Automated fluorescence rejection using shifted excitation Raman difference spectroscopy. Appl. Spectrosc. 56, 834–845 (2002).

    Article  CAS  Google Scholar 

  87. Guo, S., Bocklitz, T. & Popp, J. Optimization of Raman-spectrum baseline correction in biological application. Analyst 141, 2396–2404 (2016).

    Article  CAS  PubMed  Google Scholar 

  88. Barton, S. J., Ward, T. E. & Hennelly, B. M. Algorithm for optimal denoising of Raman spectra. Anal. Methods 10, 3759–3769 (2018).

    Article  Google Scholar 

  89. Mostafapour, S. et al. Investigating the effect of different pre-treatment methods on Raman spectra recorded with different excitation wavelengths. Spectrochim. Acta A Mol. Biomol. Spectrosc. 302, 123100 (2023).

    Article  CAS  PubMed  Google Scholar 

  90. Chen, H., Xu, W., Broderick, N. & Han, J. An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform. J. Raman Spectrosc. 49, 1529–1539 (2018).

    Article  CAS  Google Scholar 

  91. Abdolghader, P. et al. Unsupervised hyperspectral stimulated Raman microscopy image enhancement: denoising and segmentation via one-shot deep learning. Opt. Express 29, 34205–34219 (2021).

    Article  CAS  PubMed  Google Scholar 

  92. Lionts, M., Haugen, E., Mahadevan-Jansen, A. & Huo, Y. Deep learning based acquisitional denoising for Raman spectroscopy using CNN and Transformer. Proceedings. Emerging Topics in Artificial Intelligence Vol. 13118 (SPIE, 2024).

  93. Bocklitz, T., Walter, A., Hartmann, K., Rösch, P. & Popp, J. How to pre-process Raman spectra for reliable and stable models? Anal. Chim. Acta 704, 47–56 (2011).

    Article  CAS  PubMed  Google Scholar 

  94. Fatima, A., Cyril, G., Vincent, V., Stéphane, J. & Olivier, P. Towards normalization selection of Raman data in the context of protein glycation: application of validity indices to PCA processed spectra. Analyst 145, 2945–2957 (2020).

    Article  CAS  Google Scholar 

  95. Guo, S., Popp, J. & Bocklitz, T. Chemometric analysis in Raman spectroscopy from experimental design to machine learning–based modeling. Nat. Protoc. 16, 5426–5459 (2021).

    Article  CAS  PubMed  Google Scholar 

  96. Morais, C. L. M., Lima, K. M. G., Singh, M. & Martin, F. L. Tutorial: multivariate classification for vibrational spectroscopy in biological samples. Nat. Protoc. 15, 2143–2162 (2020).

    Article  CAS  PubMed  Google Scholar 

  97. Bergholt, M. S. et al. Fiberoptic confocal Raman spectroscopy for real-time in vivo diagnosis of dysplasia in Barrett’s esophagus. Gastroenterology 146, 27–32 (2014).

    Article  PubMed  Google Scholar 

  98. Rourke-Funderburg, A. et al. Characterizing variability in non-invasive hydration monitoring using Raman spectroscopy. Appl. Spectrosc. 79, 1228–1241 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  99. Silva, R. M. O. Design of Optical Spectrometers within RamSERS Project. MSc thesis, Técnico Lisboa (2017).

  100. Huang, Z., Zeng, H., Hamzavi, I., McLean, D. I. & Lui, H. Rapid near-infrared Raman spectroscopy system for real-time in vivo skin measurements. Opt. Lett. 26, 1782–1784 (2001).

    Article  CAS  PubMed  Google Scholar 

  101. Esmonde-White, F. W. L., Esmonde-White, K. A. & Morris, M. D. Minor distortions with major consequences: correcting distortions in imaging spectrographs. Appl. Spectrosc. 65, 85–98 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  102. Hutsebaut, D., Vandenabeele, P. & Moens, L. Evaluation of an accurate calibration and spectral standardization procedure for Raman spectroscopy. Analyst 130, 1204–1214 (2005).

    Article  CAS  PubMed  Google Scholar 

  103. Ntziouni, A. et al. Review of existing standards, guides, and practices for Raman spectroscopy. Appl. Spectrosc. 76, 747–772 (2022).

    Article  CAS  PubMed  Google Scholar 

  104. Fang, Q. & Boas, D. A. Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units. Opt. Express 17, 20178–20190 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  105. Bashkatov, A. N., Genina, E. A. & Tuchin, V. V. Optical properties of skin, subcutaneous, and muscle tissues: a review. J. Innov. Opt. Health Sci. 04, 9–38 (2011).

    Article  Google Scholar 

  106. Welch, A. J. & van Gemert, M. J. C. (eds) Optical-Thermal Response of Laser-Irradiated Tissue https://link.springer.com/book/10.1007/978-90-481-8831-4 (Springer Netherlands, Dordrecht, Netherlands, 2011).

  107. Van Rhoon, G. C. et al. CEM43°C thermal dose thresholds: a potential guide for magnetic resonance radiofrequency exposure levels? Eur. Radiol. 23, 2215–2227 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  108. Sapareto, S. A. & Dewey, W. C. Thermal dose determination in cancer therapy. Int. J. Radiat. Oncol. Biol. Phys. 10, 787–800 (1984).

    Article  CAS  PubMed  Google Scholar 

  109. Li, S. & Dai, L. An improved algorithm to remove cosmic spikes in Raman spectra for online monitoring. Appl. Spectrosc. 65, 1300–1306 (2011).

    Article  CAS  PubMed  Google Scholar 

  110. Cadusch, P. J., Hlaing, M. M., Wade, S. A., McArthur, S. L. & Stoddart, P. R. Improved methods for fluorescence background subtraction from Raman spectra. J. Raman Spectrosc. 44, 1587–1595 (2013).

    Article  CAS  Google Scholar 

  111. Chen, H., Xu, W. & Broderick, N. G. R. An adaptive and fully automated baseline correction method for Raman spectroscopy based on morphological operations and mollification. Appl. Spectrosc. 73, 284–293 (2019).

    Article  CAS  PubMed  Google Scholar 

  112. Rinnan, Å. Pre-processing in vibrational spectroscopy—when, why and how. Anal. Methods 6, 7124–7129 (2014).

    Article  PubMed  Google Scholar 

  113. He, C. et al. Accurate tumor subtype detection with Raman spectroscopy via variational autoencoder and machine learning. ACS Omega 7, 10458–10468 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  114. Haugen, E. J., Gautam, R., Locke, A. K. & Mahadevan-Jansen, A. In vivo Raman spectroscopy for real-time biochemical assessment of tissue pathology and physiology. figshare https://doi.org/10.6084/m9.figshare.29474396 (2025).

  115. Gautam, R. et al. Feature selection and rapid characterization of bloodstains on different substrates. Appl. Spectrosc. 74, 1238–1251 (2020).

    Article  CAS  PubMed  Google Scholar 

  116. Sorochan Armstrong, M. D., De La Mata, A. P. & Harynuk, J. J. Review of variable selection methods for discriminant-type problems in chemometrics. Front. Anal. Sci. 2, 867938 (2022).

    Article  Google Scholar 

  117. Movasaghi, Z., Rehman, S. & Rehman, I. U. Raman spectroscopy of biological tissues. Appl. Spectrosc. Rev. 42, 493–541 (2007).

    Article  CAS  Google Scholar 

  118. Bellantuono, L. et al. An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis. Sci. Rep. 13, 16590 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  119. Conforti, P. M., Lazzini, G., Russo, P. & D’Acunto, M. Raman spectroscopy and AI applications in cancer grading: an overview. IEEE Access 12, 54816–54852 (2024).

    Article  Google Scholar 

  120. Estes, B. J., Voss, T., Liao, R., Cousart, A. & Mahadevan-Jansen, A. Investigating variability of high wavenumber Raman spectroscopy in superficial tissues. In Optical Interactions with Tissue and Cells XXXVI (eds. Bixler, J. N. & Linz, N.) (SPIE, San Francisco, California, USA, 2025).

  121. Yakimov, B. P. et al. Melanin distribution from the dermal–epidermal junction to the stratum corneum: non-invasive in vivo assessment by fluorescence and Raman microspectroscopy. Sci. Rep. 10, 14374 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  122. Rourke, A. S. et al. Spatially offset Raman spectroscopy for non-invasive in vivo monitoring of hydration status. In Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables III (eds. Shadgan, B. & Gandjbakhche, A. H.) (SPIE, San Francisco, California, USA, 2022).

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Acknowledgements

The authors acknowledge J.S. Baba for providing critical feedback on the manuscript.

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E.J.H., R.G., A.K.L. and A.M.-J. wrote the manuscript. E.J.H. prepared the figures.

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Correspondence to Ezekiel J. Haugen or Anita Mahadevan-Jansen.

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Key references

Haugen, E. J. et al. Sci. Rep. 15, 22471 (2025): https://doi.org/10.1038/s41598-025-05591-z

Rourke-Funderburg, A. et al. Appl. Spectrosc. 79, 1228–1241 (2024): https://doi.org/10.1177/00037028241307043

Locke, A. et al. Clin. Transl. Gastroenterol. 15, e00665 (2024): https://doi.org/10.14309/ctg.0000000000000665

Masson, L. E. et al. Am. J. Obstet. Gynecol. 227, 275.e1–275.e14 (2022): https://doi.org/10.1016/j.ajog.2022.02.019

Pence, I. J. et al. Biomed. Opt. Express 8, 524–535 (2017): https://doi.org/10.1364/BOE.8.000524

Supplementary information

Supplementary Video 1 (download MP4 )

Video demonstrating how to perform alignment of an in vivo Raman system

Supplementary Code 1 (download ZIP )

Scripts for pre-processing in vivo fingerprint and high–wavenumber Raman spectra

Source data

Source Data Fig. 4 (download XLSX )

In vivo fingerprint and high–wavenumber Raman spectra from the skin.

Source Data Fig. 5 (download XLSX )

In vivo fingerprint Raman spectra from the cervix.

Source Data Fig. 6 (download XLSX )

In vivo fingerprint and high–wavenumber Raman spectra from gastrointestinal tissue.

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Haugen, E.J., Gautam, R., Locke, A.K. et al. In vivo Raman spectroscopy for real-time biochemical assessment of tissue pathology and physiology. Nat Protoc 21, 1780–1808 (2026). https://doi.org/10.1038/s41596-025-01274-1

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