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High-speed optical coherence tomography by circular interferometric ranging

Nature Photonicsvolume 12pages111116 (2018) | Download Citation


Existing three-dimensional optical imaging methods excel in controlled environments, but are difficult to deploy over large, irregular and dynamic fields. This means that they can be ill-suited for use in areas such as material inspection and medicine. To better address these applications, we developed methods in optical coherence tomography to efficiently interrogate sparse scattering fields, that is, those in which most locations (voxels) do not generate meaningful signal. Frequency comb sources are used to superimpose reflected signals from equispaced locations through optical subsampling. This results in circular ranging, and reduces the number of measurements required to interrogate large volumetric fields. As a result, signal acquisition barriers that have limited speed and field in optical coherence tomography are avoided. With a new ultrafast, time-stretched frequency comb laser design operating with 7.6 MHz to 18.9 MHz repetition rates, we achieved imaging of multi-cm3 fields at up to 7.5 volumes per second.

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  1. 1.

    Pawley, J. B. Handbook of Biological Confocal Microscopy. (Springer Science+Business Media, New York, 20–42, 2006.

  2. 2.

    Zipfel, W. R., Williams, R. M. & Webb, W. W. Nonlinear magic: multiphoton microscopy in biosciences. Nat. Biotechnol. 21, 1369–1377 (2003).

  3. 3.

    Huang, D. et al. Optical coherence tomography. Science 254, 1178–1181 (1991).

  4. 4.

    Drexler, W. et al. Optical coherence tomography today: speed, contrast, and multimodality. J. Biomed. Opt. 7, 071412 (2014).

  5. 5.

    Xu, J. et al. High-performance multi-megahertz optical coherence tomography based on amplified optical time-stretch. Biomed. Opt. Express 6, 1340–1350 (2015).

  6. 6.

    Wang, Z. et al. Cubic meter volume optical coherence tomography. Optica 3, 1496–1503 (2016).

  7. 7.

    Wieser, W. et al. High definition live 3D-OCT in vivo: design and evaluation of a 4D OCT engine with 1 GVoxel/s. Biomed. Opt. Express 5, 2963–2977 (2014).

  8. 8.

    Wieser, W., Biedermann, B. R., Klein, T., Eigenwillig, C. M. & Huber, R. Multi-megahertz OCT: high quality 3D imaging at 20 million A-scans and 4.5 GVoxels per second. Opt. Express 18, 14685–14704 (2010).

  9. 9.

    Song, S., Xu, J. & Wang, R. K. Long-range and wide field of view optical coherence tomography for in vivo 3D imaging of large volume object based on akinetic programmable swept source. Biomed. Opt. Express 7, 4734–4748 (2016).

  10. 10.

    Moon, S. & Kim, D. Y. Ultra-high-speed optical coherence tomography with a stretched pulse supercontinuum source. Opt. Express 14, 11575–11584 (2006).

  11. 11.

    Goda, K. et al. High-throughput optical coherence tomography at 800 nm. Opt. Express 20, 19612–19617 (2012).

  12. 12.

    Siddiqui, M. & Vakoc, B. J. Optical-domain subsampling for data efficient depth ranging in Fourier-domain optical coherence tomography. Opt. Express 20, 17938–17951 (2012).

  13. 13.

    Tozburun, S., Siddiqui, M. & Vakoc, B. J. A rapid, dispersion-based wavelength-stepped and wavelength-swept laser for optical coherence tomography. Opt. Express 22, 3414–3424 (2014).

  14. 14.

    Youngquist, R. C., Carr, S. & Davies, D. E. N. Optical coherence-domain reflectometry: a new optical evaluation technique. Opt. Lett. 12, 158–160 (1987).

  15. 15.

    Lexer, F., Hitzenberger, C. K., Fercher, A. F. & Kulhavy, M. Wavelength-tuning interferometry of intraocular distance. Appl. Opt. 36, 6548–6553 (1997).

  16. 16.

    Tamura, K., Ippen, E. P., Haus, H. A. & Nelson, L. E. 77-fs pulse generation from a stretched-pulse mode-locked all-fiber ring laser. Opt. Lett. 18, 1080–1082 (1993).

  17. 17.

    Haus, H. A., Tamura, K., Nelson, L. E. & Ippen, E. P. Stretched-pulse additive pulse mode-locking in fiber ring laser: theory and experiment. IEEE J. Quantum Electron. 31, 591–598 (1995).

  18. 18.

    Lee, S., Kim, K. & Delfyett, P. J. eXtreme chirped pulse amplification-beyond the fundamental energy storage limit of semiconductor optical amplifiers. IEEE Photon-. Technol. Lett. 18, 799–801 (2006).

  19. 19.

    Siddiqui, M., Tozburun, S., Zhang, E. Z. & Vakoc, B. J. Compensation of spectral and RF errors in swept-source OCT for high extinction complex demodulation. Opt. Express 23, 5508–5520 (2015).

  20. 20.

    Kudo, S. et al. Colonoscopic diagnosis and management of nonpolypoid early colorectal cancer. World J. Surg. 24, 1081–1090 (2000).

  21. 21.

    de Boer, J. F. & Milner, T. E. Review of polarization sensitive optical coherence tomography and Stokes vector determination. J. Biomed. Opt. 7, 359–371 (2002).

  22. 22.

    Villiger, M. et al. Spectral binning for mitigation of polarization mode dispersion artifacts in catheter-based optical frequency domain imaging. Opt. Express 21, 16353–16369 (2013).

  23. 23.

    Islam, M. S. et al. Extracting structural features of rat sciatic nerve using polarization-sensitive spectral domain optical coherence tomography. J. Biomed. Opt. 17, 056012 (2012).

  24. 24.

    Henry, F. P. et al. In vivo optical microscopy of peripheral nerve myelination with polarization sensitive optical coherence tomography. J. Biomed. Opt. 20, 046002 (2015).

  25. 25.

    Kitajima, K. et al. Visualization of periprostatic nerve fibers before and after radical prostatectomy using diffusion tensor magnetic resonance imaging with tractography. Clin. Imaging 38, 302–306 (2014).

  26. 26.

    Yun, S. E. et al. Comprehensive volumetric optical microscopy in vivo. Nat. Med. 12, 1429–1433 (2006).

  27. 27.

    Blatter, C., Meijer, E. F. J., Padera, T. P. & Vakoc, B. J. Simultaneous measurements of lymphatic vessel contraction, flow and valve dynamics in multiple lymphangions using optical coherence tomography. J. Biophotonics e201700017 (2017)..

  28. 28.

    Utku, B., Qin, W., Qi, X., Kalkan, G. & Wang, R. K. OCT-based label-free in vivo lymphangiography within human skin and areola. Sci. Rep. 6, 1–8 (2016).

  29. 29.

    Su, R. et al. Perspectives of mid-infrared optical coherence tomography for inspection and micrometrology of industrial ceramics. Opt. Express 22, 15804–15819 (2014).

  30. 30.

    Rong, S. et al. Optical coherence tomography for quality assessment of embedded microchannels in alumina ceramic. Opt. Express 20, 4603–4618 (2012).

  31. 31.

    Yuan, W., Kut, C., Liang, W. & Li, X. Robust and fast characterization of OCT-based optical attenuation using a novel frequency-domain algorithm for brain cancer detection. Sci. Rep. 7, 1–8 (2017).

  32. 32.

    Vermeer, K. A., Mo, J., Weda, J. J. A., Lemij, H. G. & de Boer, J. F. Depth-resolved model-based reconstruction of attenuation coefficients in optical coherence tomography. Biomed. Opt. Express 5, 322–337 (2013).

  33. 33.

    Fleming, C. P., Eckert, J., Halpern, E. F., Gardecki, J. A. & Tearney, G. J. Depth resolved detection of lipid using spectroscopic optical coherence tomography. Biomed. Opt. Express 4, 1269–1284 (2013).

  34. 34.

    Leitgeb, R. et al. Spectral measurement of absorption by spectroscopic frequency-domain optical coherence tomography. Opt. Lett. 25, 820–822 (2000).

  35. 35.

    Lorenser, D., Singe, C. C., Curatolo, A. & Sampson, D. D. Energy-efficient low-Fresnel-number Bessel beams and their application in optical coherence tomography. Opt. Lett. 39, 548–551 (2014).

  36. 36.

    Lee, K. S. & Rolland, J. P. Bessel beam spectral-domain high-resolution optical coherence tomography with micro-optic axicon providing extended focusing range. Opt. Lett. 33, 1696–1698 (2008).

  37. 37.

    Liao, W. et al. Endoscopic optical coherence tomography with a focus-adjustable probe. Opt. Lett. 42, 4040–4043 (2017).

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This research was sponsored by the National Institutes of Health (NIH) grants R01CA163528, P41EB015903 and DOD/AFOSR FA9550-11-1-0331, Harvard Medical School Bullock Post-Doctoral Fellowship, and the National Science Foundation (NSF) Graduate Research Fellowships Program (11-031). Additional financial support provided by Alcon. The authors thank I. Chico-Calero for performing animal surgeries and M. Villiger for providing the spectral binning PS-OCT base code.

Author information

Author notes

    • Serhat Tozburun

    Present address: Izmir International Biomedicine and Genome Institute, Dokuz Eylul University, Balcova, Izmir, Turkey


  1. Harvard Medical School, Boston, MA, USA

    • Meena Siddiqui
    • , Serhat Tozburun
    • , Norman Lippok
    • , Cedric Blatter
    •  & Benjamin J. Vakoc
  2. Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA

    • Meena Siddiqui
    • , Ahhyun S. Nam
    • , Serhat Tozburun
    • , Norman Lippok
    • , Cedric Blatter
    •  & Benjamin J. Vakoc
  3. Harvard-MIT Health Sciences & Technology (HST), Cambridge, MA, USA

    • Meena Siddiqui
    •  & Benjamin J. Vakoc
  4. Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA

    • Ahhyun S. Nam


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M.S. built the system, planned and executed experiments, performed image processing, and prepared the manuscript. A.S.N. contributed to polarization-sensitive signal processing. S.T. contributed to building the system. N.L. executed experiments and contributed to image processing. C.B. was involved in developing the system software. B.J.V. obtained support, managed the project and participated in manuscript preparation.

Competing interests

The authors are inventors on intellectual property owned by the Massachusetts General Hospital.

Corresponding author

Correspondence to Benjamin J. Vakoc.

Supplementary information

  1. Supplementary Information

    Supplementary methods and results including detailed captions for each Supplementary Video.


  1. Supplementary Video 1

    A fly-through in the en face orientation from a three-dimensional dataset. This fly-through shows the superposition of multiple depth/delay planes in each measured depth/delay.

  2. Supplementary Video 2

    A wide-field video acquisition of ex vivo porcine colon.

  3. Supplementary Video 3

    A wide-field video acquisition of exposed rat sciatic nerve using structural and polarization-sensitive contrast.

  4. Supplementary Video 4

    A video acquired during dynamic manipulation of the sciatic nerve highlights applications in intraoperative guidance.

  5. Supplementary Video 5

    A fly-through of the three-dimensional dataset used to generate a single frame within Supplementary Video 4.

  6. Supplementary Video 6

    A video acquisition highlighting quantitative changes in imaged birefringence of an ex vivo mouse sciatic nerve in response to a crush injury.

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