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.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout






Similar content being viewed by others
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
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).
Raman, C. V. & Krishnan, K. S. A new type of secondary radiation. Nature 121, 501–502 (1928).
Raman, C. V. A change of wave-length in light scattering. Nature 121, 619–619 (1928).
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).
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).
Pence, I. & Mahadevan-Jansen, A. Clinical instrumentation and applications of Raman spectroscopy. Chem. Soc. Rev. 45, 1958–1979 (2016).
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).
Croce, A. C. & Bottiroli, G. Autofluorescence spectroscopy and imaging: a tool for biomedical research and diagnosis. Eur. J. Histochem. 58, 2461 (2014).
Vishwanath, K. et al. Portable, fiber-based, diffuse reflection spectroscopy (DRS) systems for estimating tissue optical properties. Appl. Spectrosc. 65, 206–215 (2011).
Movasaghi, Z., Rehman, S. & Ur Rehman, Dr. I. Fourier transform infrared (FTIR) spectroscopy of biological tissues. Appl. Spectrosc. Rev. 43, 134–179 (2008).
Baker, M. J. et al. Using Fourier transform IR spectroscopy to analyze biological materials. Nat. Protoc. 9, 1771–1791 (2014).
Cordero, E. In-vivo Raman spectroscopy: from basics to applications. J. Biomed. Opt. 23, 1–23 (2018).
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).
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).
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).
Agenant, M. et al. Clinical superficial Raman probe aimed for epithelial tumor detection: phantom model results. Biomed. Opt. Express 5, 1203–1216 (2014).
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).
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).
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).
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).
Pence, I. J., Vargis, E. & Mahadevan-Jansen, A. Assessing variability of in vivo tissue Raman spectra. Appl. Spectrosc. 67, 789–800 (2013).
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).
O’Brien, C. M. et al. Development of a visually guided Raman spectroscopy probe for cervical assessment during pregnancy. J. Biophotonics 12, e201800138 (2019).
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).
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).
Pence, I. J. et al. Clinical characterization of in vivo inflammatory bowel disease with Raman spectroscopy. Biomed. Opt. Express 8, 524–535 (2017).
Utzinger, U. et al. Near-infrared Raman spectroscopy for in vivo detection of cervical precancers. Appl. Spectrosc. 55, 955–959 (2001).
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).
Masson, L. E. et al. In vivo Raman spectroscopy monitors cervical change during labor. A. J. Obstet. Gynecol. 227, 275.e1–275.e14 (2022).
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).
Draga, R. O. P. et al. In vivo bladder cancer diagnosis by high-volume Raman spectroscopy. Anal. Chem. 82, 5993–5999 (2010).
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).
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).
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).
Mahadevan-Jansen, A. & Richards-Kortum, R. R. Raman spectroscopy for the detection of cancers and precancers. J. Biomed. Opt. 1, 31–70 (1996).
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).
Robichaux-Viehoever, A. et al. Characterization of Raman spectra measured in vivo for the detection of cervical dysplasia. Appl. Spectrosc. 61, 986–993 (2007).
Vargis, E. et al. Effect of normal variations on disease classification of Raman spectra from cervical tissue. Analyst 136, 2981–2987 (2011).
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).
Fousková, M. et al. In vivo Raman spectroscopy in the diagnostics of colon cancer. Analyst 148, 2518–2526 (2023).
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).
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).
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).
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).
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).
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).
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).
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).
Hanlon, E. B. et al. Prospects for in vivo Raman spectroscopy. Phys. Med. Biol. 45, R1–R59 (2000).
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).
Jermyn, M. et al. Intraoperative brain cancer detection with Raman spectroscopy in humans. Sci. Transl. Med. 7, 274ra19 (2015).
Motz, J. T. et al. In vivo Raman spectral pathology of human atherosclerosis and vulnerable plaque. J. Biomed. Opt. 11, 021003 (2006).
Karunakaran, V. et al. Investigating in vivo tumor biomolecular changes following radiation therapy using Raman spectroscopy. ACS Omega 9, 43025–43033 (2024).
Horgan, C. C. et al. Integrated photodynamic Raman theranostic system for cancer diagnosis, treatment, and post-treatment molecular monitoring. Theranostics 11, 2006–2019 (2021).
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).
Butler, H. J. et al. Using Raman spectroscopy to characterize biological materials. Nat. Protoc. 11, 664–687 (2016).
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).
McWade, M. A. et al. A novel optical approach to intraoperative detection of parathyroid glands. Surgery 154, 1371–1377 (2013).
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).
Monroy, G. L. et al. Multimodal handheld probe for characterizing otitis media—integrating Raman spectroscopy and optical coherence tomography. Front. Photon. 3, 929574 (2022).
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).
Daoust, F. et al. A clinical Raman spectroscopy imaging system and safety requirements for in situ intraoperative tissue characterization. Analyst 148, 1991–2001 (2023).
Laser Institute of America. American National Standard for Safe Use of Lasers. ANSI Z136.1-2014 (2014).
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).
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).
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).
Masson, L. E. et al. Dual excitation wavelength system for combined fingerprint and high wavenumber Raman spectroscopy. Analyst 143, 6049–6060 (2018).
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).
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).
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).
Matousek, P. et al. Noninvasive Raman spectroscopy of human tissue in vivo. Appl. Spectrosc. 60, 758–763 (2006).
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).
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).
Fitzgerald, S. T. Noninvasive Characterization of Otitis Media with Image-Guided Raman Spectroscopy. PhD thesis, Vanderbilt Univ. (2024).
Singh, B. et al. Application of vibrational microspectroscopy to biology and medicine. Chem. Biol. 102, 232–244 (2012).
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).
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).
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).
E13 Committee. Standard Guide for Raman Shift Standards for Spectrometer Calibration https://store.astm.org/e1840-96r22.html (2022).
Lakowicz, J. R. Instrumentation for Fluorescence Spectroscopy. In Principles of Fluorescence Spectroscopy (ed. Lakowicz, J. R.) 25–61. (Springer US, Boston, MA, USA, 1999).
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).
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).
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).
Lieber, C. A. & Mahadevan-Jansen, A. Automated method for subtraction of fluorescence from biological Raman spectra. Appl. Spectrosc. 57, 1363–1367 (2003).
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).
Zhao, J., Carrabba, M. M. & Allen, F. S. Automated fluorescence rejection using shifted excitation Raman difference spectroscopy. Appl. Spectrosc. 56, 834–845 (2002).
Guo, S., Bocklitz, T. & Popp, J. Optimization of Raman-spectrum baseline correction in biological application. Analyst 141, 2396–2404 (2016).
Barton, S. J., Ward, T. E. & Hennelly, B. M. Algorithm for optimal denoising of Raman spectra. Anal. Methods 10, 3759–3769 (2018).
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).
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).
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).
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).
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).
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).
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).
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).
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).
Rourke-Funderburg, A. et al. Characterizing variability in non-invasive hydration monitoring using Raman spectroscopy. Appl. Spectrosc. 79, 1228–1241 (2024).
Silva, R. M. O. Design of Optical Spectrometers within RamSERS Project. MSc thesis, Técnico Lisboa (2017).
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).
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).
Hutsebaut, D., Vandenabeele, P. & Moens, L. Evaluation of an accurate calibration and spectral standardization procedure for Raman spectroscopy. Analyst 130, 1204–1214 (2005).
Ntziouni, A. et al. Review of existing standards, guides, and practices for Raman spectroscopy. Appl. Spectrosc. 76, 747–772 (2022).
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).
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).
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).
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).
Sapareto, S. A. & Dewey, W. C. Thermal dose determination in cancer therapy. Int. J. Radiat. Oncol. Biol. Phys. 10, 787–800 (1984).
Li, S. & Dai, L. An improved algorithm to remove cosmic spikes in Raman spectra for online monitoring. Appl. Spectrosc. 65, 1300–1306 (2011).
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).
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).
Rinnan, Å. Pre-processing in vibrational spectroscopy—when, why and how. Anal. Methods 6, 7124–7129 (2014).
He, C. et al. Accurate tumor subtype detection with Raman spectroscopy via variational autoencoder and machine learning. ACS Omega 7, 10458–10468 (2022).
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).
Gautam, R. et al. Feature selection and rapid characterization of bloodstains on different substrates. Appl. Spectrosc. 74, 1238–1251 (2020).
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).
Movasaghi, Z., Rehman, S. & Rehman, I. U. Raman spectroscopy of biological tissues. Appl. Spectrosc. Rev. 42, 493–541 (2007).
Bellantuono, L. et al. An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis. Sci. Rep. 13, 16590 (2023).
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).
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).
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).
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).
Acknowledgements
The authors acknowledge J.S. Baba for providing critical feedback on the manuscript.
Author information
Authors and Affiliations
Contributions
E.J.H., R.G., A.K.L. and A.M.-J. wrote the manuscript. E.J.H. prepared the figures.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Protocols thanks Surya Pratap Singh and the other, anonymous reviewer(s) for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
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
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41596-025-01274-1


