4.6 Article

Depth-dependent in vivo human skin backscattering spectra extraction from full-field optical coherence tomography

期刊

JOURNAL OF BIOPHOTONICS
卷 15, 期 1, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.202100249

关键词

Fourier transform; optical coherence tomography; spectroscopy; tomographic image processing

资金

  1. Ministry of Science and Technology, Taiwan [1072634-F-002-017, 108-2634-F-002-014, MOST 107-2634-F-002-017]
  2. National Natural Science Foundation of China [61633012, 61873133, U1813210]

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By using homemade active crystalline fibers, researchers have developed bright and broadband light sources for full-field optical coherence tomography. These sources offer high-resolution imaging with deep penetration into skin tissues, potentially useful in biomedicine. Additionally, a feedforward compensation approach has been successful in greatly reducing hysteresis nonlinearity in the piezoelectric transducer, enabling accurate extraction of depth-dependent spectra.
With homemade active crystalline fibers, we generated bright and broadband light sources for full-field optical coherence tomography, offering deep penetration into skin tissues with cellular resolution at a high frame rate. Extraction of backscattered spectra from the tissue has potential applications in biomedicine. The hysteresis nonlinearity of the piezoelectric transducer actuating the Mirau interferometer has been greatly reduced by a feedforward compensation approach. The linearized hysteresis response enables us to extract depth-dependent spectra accurately. To validate, the complex dispersion of a fused silica plate was characterized with 2% error. Further validation on an in vitro setting, the backscattered spectra from indocyanine green pigment and nonpigmented microspheres were obtained and verified. For in vivo skin measurement, the backscattered spectra show depth-dependent spectral shift and bandwidth variation due to the complex skin anatomy and pigment absorption. Such a high-speed spectra acquisition of in vivo deep tissue backscattering could lead to disease diagnosis in clinical settings.

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