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Cited by 516

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Spectroscopic optical coherence tomography

Morgner, U., Drexler, W., Kärtner, F. X., Li, X. D., Pitris, C., Ippen, E. P., Fujimoto, J. G.·2000·Optics Letters

Abstract

Spectroscopic optical coherence tomography (OCT), an extension of conventional OCT, is demonstrated for performing cross-sectional tomographic and spectroscopic imaging. Information on the spectral content of backscattered light is obtained by detection and processing of the interferometric OCT signal. This method allows the spectrum of backscattered light to be measured over the entire available optical bandwidth simultaneously in a single measurement. Specific spectral features can be extracted by use of digital signal processing without changing the measurement apparatus. An ultrabroadband femtosecond Ti:Al(2)O(3) laser was used to achieve spectroscopic imaging over the wavelength range from 650 to 1000 nm in a simple model as well as in vivo in the Xenopus laevis (African frog) tadpole. Multidimensional spectroscopic data are displayed by use of a novel hue-saturation false-color mapping.

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Metadata

Authors
Morgner, U., Drexler, W., Kärtner, F. X., Li, X. D., Pitris, C., Ippen, E. P., & Fujimoto, J. G.
Venue
Optics Letters
Published
2000-01-15
Volume
25
Issue
2
Pages
111
ISSN
  • 0146-9592 (ISSN-L)
  • 1539-4794
OpenAlex
W1982095576
Cited by
516
References
1
FWCI
23.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Spectroscopic optical coherence tomography. https://app.cochat.ai/papers/10.1364/ol.25.000111
The paper
Morgner, U., Drexler, W., Kärtner, F. X., Li, X. D., Pitris, C., Ippen, E. P., & Fujimoto, J. G. (2000). Spectroscopic optical coherence tomography. Optics Letters. https://doi.org/10.1364/ol.25.000111

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.