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Comment on the modified Beer–Lambert law for scattering media
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We present a concise overview of the modified Beer-Lambert law, which has been extensively used in the literature of near-infrared spectroscopy (NIRS) of scattering media. In particular, we discuss one form of the modified Beer-Lambert law that is commonly found in the literature and that is not strictly correct. However, this incorrect form of the modified Beer-Lambert law still leads to the correct expression for the changes in the continuous wave optical signal associated with changes in the absorption coefficient of the investigated medium. Here we propose a notation for the modified Beer-Lambert law that keeps the typical form commonly found in the literature without introducing any incorrect assumptions.
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“When absorption and multiple scattering is present, the situation is more complicated because the total propagation path of the detected photons is generally larger than l (the penetration depth).”
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Cites
Estimation of optical pathlength through tissue from direct time of flight measurement
Delpy, D. T., Cope, M., van der Zee, P., Arridge, S., Wray, S., & Wyatt, J. S. (1988) · Physics in Medicine and Biology · doi:10.1088/0031-9155/33/12/008 · Cited by 2,251
Hiraoka, M., Firbank, M., Essenpreis, M., Cope, M., Arridge, S., van der Zee, P., & Delpy, D. T. (1993) · Physics in Medicine and Biology · doi:10.1088/0031-9155/38/12/011 · Cited by 375
Matcher, S. J., Cope, M., & Delpy, D. T. (1994) · Physics in Medicine and Biology · doi:10.1088/0031-9155/39/1/011 · Cited by 323
Franceschini, M. A., Fantini, S., Paunescu, L. A., Maier, J. S., & Gratton, E. (1998) · Applied Optics · doi:10.1364/ao.37.007447 · Cited by 172
Self-citationWobst, P., Wenzel, R., Kohl‐Bareis, M., Obrig, H., & Villringer, A. (2001) · NeuroImage · doi:10.1006/nimg.2000.0706 · Cited by 117
Kohl‐Bareis, M., Nolte, C. H., Heekeren, H. R., Horst, S., Scholz, U., Obrig, H., & Villringer, A. (1998) · Physics in Medicine and Biology · doi:10.1088/0031-9155/43/6/028 · Cited by 112
Tsuchiya, Y. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/8/303 · Cited by 43
Research works printed but not linked: 2
- Boas D, Franceschini M A, Dunn A K and Strangman G 2002 Noninvasive imaging of cerebral activation with diffuse optical tomography In Vivo Optical Imaging of Brain Function ed D Ron Frostig (Boca Raton, FL: CRC Press) chapter 8, pp 193-211
- Duderstadt J J 1979 Transport Theory (New York: Wiley)
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Hernández‐Martín, E., Marcano, F., Modroño, C., Casanova-González, Ó., Bello, J. P., & González–Mora, J. L. (2019) · Biomedical Optics Express · doi:10.1364/boe.10.000817 · Cited by 5
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Heger, D., Herff, C., & Schultz, T. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944010 · Cited by 4
Koffi, T., Bosson, J. M., Kouacou, M. A., Regnima, G.-O., Dion, S. B., Edoé, M., Bagui, O. K., & Zoueu, J. T. (2019) · Measurement · doi:10.1016/j.measurement.2019.107089 · Cited by 4
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Wang, D., Wu, S.-H., Zhou, M., Zhao, J. C., Li, G., Wang, K., & Lin, L. (2022) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2022.121199 · Cited by 4
Bendall, R. C. A., Lambert, S., Galpin, A. J., Marrow, L. P., & Cassidy, S. (2019) · Data in Brief · doi:10.1016/j.dib.2019.104544 · Cited by 4
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Fantini, S., Tgavalekos, K. T., Zang, X., & Sassaroli, A. (2018) · Springer series in optical sciences/SPringer series in optical sciences · doi:10.1007/978-3-319-98548-0_9 · Cited by 2
Self-citationBønnelycke, E. S., Giacon, T. A., Bosco, G., Kainerstorfer, J. M., Paganini, M., Ruesch, A., Wu, J., & McKnight, J. C. (2024) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00085.2024 · Cited by 3
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Xie, T., Liu, L., Zhou, W. M., Kang, W., Wen, L., Wang, S., Li, Z., Yang, J., Ho, H., Jiang, X., et al. (2025) · Optics Letters · doi:10.1364/ol.547900 · Cited by 2
Fanta, A., Dosunmu-Ogunbi, A. M., Ruesch, A., Jonassaint, J., Disu, J. D. K., Xu, J. Z., Huppert, T. J., Kainerstorfer, J. M., Novelli, E. M., & Wood, S. (2025) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00426.2023 · Cited by 2
Patra, R., & Dutta, P. K. (2015) · Applied Optics · doi:10.1364/ao.54.003737 · Cited by 2
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Fornaini, C., Merigo, E., Selleri, S., & Cucinotta, A. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2211018 · Cited by 1
Choi, Y., Kim, H.-J., Cho, H.-M., Lee, S.-W., Ryu, H.-J., & Lee, Y.-J. (2011) · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · doi:10.1109/nssmic.2011.6152504 · Cited by 1
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Blaney, G. P., Krishnamurthy, N., Sassaroli, A., Pham, T., & Fantini, S. (2019) · Optical Tomography and Spectroscopy of Tissue · doi:10.1117/12.2509894 · Cited by 1
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Yang, D., Huang, R., Qing, K., & Hong, K. (2020) · International Conference on Control, Automation and Systems (ICCAS) · doi:10.23919/iccas50221.2020.9268361 · Cited by 1
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Olausson, S. (2012) · Lund University Publications Student Papers (Lund University)
Pierro, M. L., Sassaroli, A., Hallacoglu, B., Kainerstorfer, J. M., & Fantini, S. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2003873
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Liu, Q., Norton, S. J., & Vo‐Dinh, T. (2008) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.762326
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Metadata
- Authors
- Sassaroli, A., & Fantini, S.
- Affiliations
- Tufts University (US)
- Venue
- Physics in Medicine and Biology
- Publisher
- IOP Publishing
- Published
- 2004-07-06
- Volume
- 49
- Issue
- 14
- Pages
- N255-N257
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W2108329838
- Cited by
- 352
- References
- 7
- Citations by year
- 2026: 16 · 2025: 24 · 2024: 21 · 2023: 25 · 2022: 22 · 2021: 30 · 2020: 29 · 2019: 33 · 2018: 25 · 2017: 20 · 2016: 24 · 2015: 10 · 2014: 11 · 2013: 10 · 2012: 13
- FWCI
- 3.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physics in Medicine and Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- National Institutes of Health
- National Institute on Drug Abuse (DA14178, R01DA014178)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Keywords
- modified Beer-Lambert law, turbid media, near-infrared spectroscopy, optical loss, absorption coefficient
- MeSH terms
- Biophysics, Image Processing, Computer-Assisted, Models, Theoretical, Scattering, Radiation, Statistics as Topic, Models, Statistical, Photons, Spectroscopy, Near-Infrared
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