The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Deep optical imaging of tissue using the second and third near-infrared spectral windows
Open accessAbstract
Light at wavelengths in the near-infrared (NIR) region allows for deep penetration and minimal absorption through high scattering tissue media. NIR light has been conventionally used through the first NIR optical tissue window with wavelengths from 650 to 950 nm. Longer NIR wavelengths had been overlooked due to major water absorption peaks and a lack of NIR-CCD detectors. The second NIR spectral window from 1100 to 1350 nm and a new spectral window from 1600 to 1870 nm, known as the third NIR optical window, were investigated. Optical attenuation measurements from thin tissue slices of normal and malignant breast and prostate tissues, pig brain, and chicken tissue were obtained in the spectral range from 400 to 2500 nm. Optical images of chicken tissue overlying three black wires were also obtained using the second and third spectral windows. Due to a reduction in scattering and minimal absorption, longer attenuation lengths and clearer optical images could be seen in the second and third NIR optical windows compared to the conventional first NIR optical window. A possible fourth optical window centered at 2200 nm was noted.
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“Sordillo et al.58 described the potential of longer wavelength light to follow a linear trajectory for a greater distance than shorter wavelength light, due to a reduction in scattering and absorption coefficients.”
From Effect of skin color on optical properties and the implications for medical optical technologies: a review (2024) · cites this paper as [58]
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“NIR I has been well characterised for imaging human tissue [12,18,20–25], and NIR II, III and IV have been shown to offer increased penetration and optical transparency over NIR I in a range of ex-vivo and in-vivo tissue including normal and malignant breast and prostate tissue, human aorta, pig and mouse brain and chicken and rat tissue [18,26–28].”
From Relevance and utility of the in-vivo and ex-vivo optical properties of the skin reported in the literature: a review [Invited] (2023) · cites this paper as [27]
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“Similar has been shown to be true for other tissues, and NIR II and III have also been exploited for deep-tissue high-resolution optical imaging [27,31–36].”
From Relevance and utility of the in-vivo and ex-vivo optical properties of the skin reported in the literature: a review [Invited] (2023) · cites this paper as [27]
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A clearer vision for in vivo imaging
Weissleder, R. (2001) · Nature Biotechnology · doi:10.1038/86684 · Cited by 3,839
Second window for in vivo imaging
Smith, A. M., Mancini, M. C., & Nie, S. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.326 · Cited by 2,848
In vivo near-infrared fluorescence imaging
Frangioni, J. V. (2003) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2003.08.007 · Cited by 2,701
Anderson, R. R., & Parrish, J. A. (1981) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12479191 · Cited by 2,456
Fluorescence imaging in vivo: recent advances
Rao, J., Dragulescu‐Andrasi, A., & Yao, H. (2007) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2007.01.003 · Cited by 780
The Near Infrared Absorption Spectrum of Liquid Water
Curcio, J. A., & Petty, C. C. (1951) · Journal of the Optical Society of America · doi:10.1364/josa.41.000302 · Cited by 726
Regulation of Kainate Receptors by cAMP-Dependent Protein Kinase and Phosphatases
Wang, L., Salter, M. W., & MacDonald, J. F. (1991) · Science · doi:10.1126/science.1653455 · Cited by 394
A novel method for fast imaging of brain function, non-invasively, with light
Chance, B., Anday, E. K., Nioka, S., Zhou, S., Hong, L., Worden, K. L., Li, C., Murray, T., Ovetsky, Y., Pidikiti, D., et al. (1998) · Optics Express · doi:10.1364/oe.2.000411 · Cited by 307
Time-resolved coherent and incoherent components of forward light scattering in random media
Yoo, K. M., & Alfano, R. R. (1990) · Optics Letters · doi:10.1364/ol.15.000320 · Cited by 226
Self-citationYoo, K. M., Xing, Q., & Alfano, R. R. (1991) · Optics Letters · doi:10.1364/ol.16.001019 · Cited by 166
Self-citationImaging through a scattering wall using absorption
Yoo, K. M., Liu, F., & Alfano, R. R. (1991) · Optics Letters · doi:10.1364/ol.16.001068 · Cited by 83
Self-citationTime-resolved Fourier spectrum and imaging in highly scattering media
Wang, L., Ho, P. P., & Alfano, R. R. (1993) · Applied Optics · doi:10.1364/ao.32.005043 · Cited by 60
Self-citationBallistic and diffuse light detection in confocal and heterodyne imaging systems
Kempe, M., Genack, A. Z., Rudolph, W. G., & Dorn, P. (1997) · Journal of the Optical Society of America A · doi:10.1364/josaa.14.000216 · Cited by 56
Pu, Y., Shi, L., Pratavieira, S., & Alfano, R. R. (2013) · Journal of Applied Physics · doi:10.1063/1.4825319 · Cited by 47
Self-citationThird therapeutic spectral window for deep tissue imaging
Sordillo, L. A., Pratavieira, S., Pu, Y., Salas-Ramirez, K. Y., Shi, L., Zhang, L., Budansky, Y., & Alfano, R. R. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2040604 · Cited by 42
Self-citationTheory of light propagation incorporating scattering and absorption in turbid media
Yang, L., & Miklavcic, S. J. (2005) · Optics Letters · doi:10.1364/ol.30.000792 · Cited by 26
Sordillo, L. A., Pu, Y., Sordillo, P. P., Budansky, Y., & Alfano, R. R. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2046706 · Cited by 13
Self-citationSordillo, D. C., Budansky, Y., Sordillo, P. P., Sordillo, L. A., & Alfano, R. R. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.981747 · Cited by 10
Self-citationSordillo, L. A., Das, B. B., Pu, Y., Liang, K., Milione, G., Sordillo, P. P., Achilefu, S. A., & Alfano, R. R. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2003102 · Cited by 10
Self-citationFree-space ballistic laser propagation of a pulse coded data stream through fog
Ni, X., & Alfano, R. R. (2003) · Applied Optics · doi:10.1364/ao.42.006980 · Cited by 4
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Research works printed but not linked: 1
- 10.1111/jid.1981.77.issue-1 · DOI
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Carr, J. A., Franke, D., Caram, J. R., Perkinson, C. F., Saif, M., Askoxylakis, V., Datta, M., Fukumura, D., Jain, R. K., Bawendi, M. G., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718917115 · Cited by 721
“We chose the 1,300- to 1,620-nm wavelength range, since as we show here and others have previously shown, contrast and resolution are maximized at wavelengths greater than 1,300 nm (13, 19, 52).”
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Antaris, A. L., Chen, H., Diao, S., Ma, Z., Zhang, Z., Zhu, S., Wang, J., Lozano, A. X., Fan, Q., Chew, L., et al. (2017) · Nature Communications · doi:10.1038/ncomms15269 · Cited by 623
Metadata
- Authors
- Sordillo, L. A., Pu, Y., Pratavieira, S., Budansky, Y., & Alfano, R. R.
- Affiliations
- City College of New York (US)
- Venue
- Journal of Biomedical Optics
- Publisher
- SPIE-Intl Soc Optical Eng
- Published
- 2014-05-07
- Volume
- 19
- Issue
- 05
- Pages
- 1-6
- ISSN
- 1083-3668 (ISSN-L)
- 1560-2281
- OpenAlex
- W2090063882
- Cited by
- 407
- References
- 20
- Citations by year
- 2026: 27 · 2025: 31 · 2024: 39 · 2023: 35 · 2022: 34 · 2021: 43 · 2020: 39 · 2019: 41 · 2018: 28 · 2017: 30 · 2016: 30 · 2015: 22 · 2014: 8
- FWCI
- 23.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Biomedical Optics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Army Medical Research and Material Command (W81XWH-11-1-0335)
- U. S. Army Medical Research and Material Command (W81XWH-11-1-0335)
- U. S. Army Medical Research and Material Command USAMRMC (W81XWH-11-1-0335, 47204-00-01)
- 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 › Engineering › Biomedical Engineering › Optical Coherence Tomography Applications
- Keywords
- deep tissue imaging, optical loss, tissue scattering, breast tissue, prostate tissue, pig brain, chicken tissues, water absorption, optical imaging
- MeSH terms
- Animals, Brain Chemistry, Breast Neoplasms, Chickens, Female, Humans, Male, Middle Aged, Prostatic Neoplasms, Signal Processing, Computer-Assisted, Swine, Spectroscopy, Near-Infrared, Optical Imaging
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