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Particle streak velocimetry-optical coherence tomography: a novel method for multidimensional imaging of microscale fluid flows: erratum

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Abstract

A table summarizing existing methods for velocimetry using OCT miscategorized Lee et al.’s work on DLS-OCT as being intensity-based, when it was actually field-based. This erratum report gives the corrected table. Also, the acknowledgments section was missing, which we include here.

© 2016 Optical Society of America

In Table 1 of the introduction of our original paper [1], we listed existing methods for velocimetry in OCT. However, we misclassified the work of Lee et al. [2] in DLS-OCT as intensity-based DLS, when their work was in field-based DLS. We have merged field-based and intensity-based DLS-OCT into one category, DLS-OCT, in Table 1 below. Note that the reference numbering is different from the original paper.

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Table 1. A comparison of velocimetry techniques in OCT

The second column indicates the type of correlation on which the technique is based. The third column indicates in what scattering regime the technique operates. A dense scattering regime means that individual particles are unresolvable, while in a sparse regime the particles are resolvable. The fourth column indicates which components are estimated from a time series of B-scans. Finally, the fifth column indicates whether calibration (i.e., of the optical beam waist) is required.

We also did not include the acknowledgments in the original paper, which is printed below:

This work was supported by NIH1R01HL118419-01 (MAC). BKH was additionally supported by NIH MSTP TG T32GM07205. MKK was supported by NIH1R21HL120783 and 1R01HD081379. VB was supported by NIHR01HL085103.

References and links

1. K. C. Zhou, B. K. Huang, U. A. Gamm, V. Bhandari, M. K. Khokha, and M. A. Choma, “Particle streak velocimetry-optical coherence tomography: a novel method for multidimensional imaging of microscale fluid flows,” Biomed. Opt. Express 7(4), 1590–1603 (2016). [CrossRef]  

2. J. Lee, W. Wu, J. Y. Jiang, B. Zhu, and D. A. Boas, “Dynamic light scattering optical coherence tomography,” Opt. Express 20(20), 22262–22277 (2012). [CrossRef]   [PubMed]  

3. J. A. Izatt, M. D. Kulkarni, S. Yazdanfar, J. K. Barton, and A. J. Welch, “In vivo bidirectional color Doppler flow imaging of picoliter blood volumes using optical coherence tomography,” Opt. Lett. 22(18), 1439–1441 (1997). [CrossRef]   [PubMed]  

4. Z. Chen, T. E. Milner, D. Dave, and J. S. Nelson, “Optical Doppler tomographic imaging of fluid flow velocity in highly scattering media,” Opt. Lett. 22(1), 64–66 (1997). [CrossRef]   [PubMed]  

5. W. Drexler, M. Liu, A. Kumar, T. Kamali, A. Unterhuber, and R. A. Leitgeb, “Optical coherence tomography today: speed, contrast, and multimodality,” J. Biomed. Opt. 19(7), 071412 (2014). [CrossRef]   [PubMed]  

6. Y.-C. Ahn, W. Jung, and Z. Chen, “Quantification of a three-dimensional velocity vector using spectral-domain Doppler optical coherence tomography,” Opt. Lett. 32(11), 1587–1589 (2007). [CrossRef]   [PubMed]  

7. A. Røyset, T. Støren, F. Stabo-Eeg, and T. Lindmo, “Quantitative measurements of flow velocity and direction using transversal Doppler optical coherence tomography,” in 2006), 607925–607925–607928.

8. R. Haindl, W. Trasischker, A. Wartak, B. Baumann, M. Pircher, and C. K. Hitzenberger, “Total retinal blood flow measurement by three beam Doppler optical coherence tomography,” Biomed. Opt. Express 7(2), 287–301 (2016). [CrossRef]   [PubMed]  

9. S. Jonas, D. Bhattacharya, M. K. Khokha, and M. A. Choma, “Microfluidic characterization of cilia-driven fluid flow using optical coherence tomography-based particle tracking velocimetry,” Biomed. Opt. Express 2(7), 2022–2034 (2011). [CrossRef]   [PubMed]  

10. C. E. Willert and M. Gharib, “Digital particle image velocimetry,” Exp. Fluids 10(4), 181–193 (1991). [CrossRef]  

11. C.-Y. Chen, P. G. Menon, W. Kowalski, and K. Pekkan, “Time-resolved OCT-μPIV: a new microscopic PIV technique for noninvasive depth-resolved pulsatile flow profile acquisition,” Exp. Fluids 54(1), 1426 (2013). [CrossRef]  

12. A. Buchsbaum, M. Egger, I. Burzic, T. Koepplmayr, M. Aigner, J. Miethlinger, and M. Leitner, “Optical coherence tomography based particle image velocimetry (OCT-PIV) of polymer flows,” Opt. Lasers Eng. 69, 40–48 (2015). [CrossRef]  

13. B. K. Huang, U. A. Gamm, V. Bhandari, M. K. Khokha, and M. A. Choma, “Three-dimensional, three-vector-component velocimetry of cilia-driven fluid flow using correlation-based approaches in optical coherence tomography,” Biomed. Opt. Express 6(9), 3515–3538 (2015). [CrossRef]   [PubMed]  

14. C. Sun, B. Standish, and V. X. D. Yang, “Optical coherence elastography: current status and future applications,” J. Biomed. Opt. 16(4), 043001 (2011).

15. K. C. Zhou, B. K. Huang, H. Tagare, and M. A. Choma, “Improved velocimetry in optical coherence tomography using Bayesian analysis,” Biomed. Opt. Express 6(12), 4796–4811 (2015). [CrossRef]   [PubMed]  

16. B. K. Huang and M. A. Choma, “Resolving directional ambiguity in dynamic light scattering-based transverse motion velocimetry in optical coherence tomography,” Opt. Lett. 39(3), 521–524 (2014). [CrossRef]   [PubMed]  

17. M. Mujat, R. D. Ferguson, N. Iftimia, D. X. Hammer, I. Nedyalkov, M. Wosnik, and H. Legner, “Optical coherence tomography-based micro-particle image velocimetry,” Opt. Lett. 38(22), 4558–4561 (2013). [CrossRef]   [PubMed]  

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Tables (1)

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Table 1 A comparison of velocimetry techniques in OCT

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