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A Review of Three-Dimensional Scanning Near-Field Optical Microscopy (3D-SNOM) and Its Applications in Nanoscale Light Management. APPLIED SCIENCES-BASEL 2017. [DOI: 10.3390/app7100973] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Jing JC, Chen JJ, Chou L, Wong BJF, Chen Z. Visualization and Detection of Ciliary Beating Pattern and Frequency in the Upper Airway using Phase Resolved Doppler Optical Coherence Tomography. Sci Rep 2017; 7:8522. [PMID: 28819309 PMCID: PMC5561030 DOI: 10.1038/s41598-017-08968-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 07/20/2017] [Indexed: 11/08/2022] Open
Abstract
Ciliary motion plays a critical role in the overall respiratory health of the upper airway. These cilia beat at a native frequency and in a synchronized pattern to continuously transport foreign particulate trapped in a layer of mucous out of the upper airway. Disruption of ciliary motion can lead to severe respiratory diseases and compromised respiratory function. Currently, the study of cilia requires expensive high speed cameras and high powered microscopes which is unsuitable for in vivo imaging and diagnosis. Doppler based optical coherence tomography has the potential to visualize the microscopic motion of cilia during their beating cycle. We demonstrate the development of a high-speed Doppler optical coherence tomography system that not only can rapidly determine the cilia beat frequency, but also simultaneously visualize the temporal cilia beating pattern which plays critical roles in cilia function.
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Affiliation(s)
- Joseph C Jing
- Beckman Laser Institute, University of California, Irvine, 1002 Health Sciences Road, Irvine, 92617, CA, USA
- Department of Biomedical Engineering, University of California, Irvine, 3120 Natural Sciences II, Irvine, 92697-2715, CA, USA
| | - Jason J Chen
- Beckman Laser Institute, University of California, Irvine, 1002 Health Sciences Road, Irvine, 92617, CA, USA
| | - Lidek Chou
- Beckman Laser Institute, University of California, Irvine, 1002 Health Sciences Road, Irvine, 92617, CA, USA
| | - Brian J F Wong
- Beckman Laser Institute, University of California, Irvine, 1002 Health Sciences Road, Irvine, 92617, CA, USA
- Department of Biomedical Engineering, University of California, Irvine, 3120 Natural Sciences II, Irvine, 92697-2715, CA, USA
- Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine, 101 The City Drive South, Orange, 92868, CA, USA
| | - Zhongping Chen
- Beckman Laser Institute, University of California, Irvine, 1002 Health Sciences Road, Irvine, 92617, CA, USA.
- Department of Biomedical Engineering, University of California, Irvine, 3120 Natural Sciences II, Irvine, 92697-2715, CA, USA.
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Structural Analysis of Polymer Composites Using Spectral Domain Optical Coherence Tomography. SENSORS 2017; 17:s17051155. [PMID: 28524105 PMCID: PMC5470901 DOI: 10.3390/s17051155] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 04/23/2017] [Accepted: 05/15/2017] [Indexed: 11/24/2022]
Abstract
The structural analysis of nylon/graphene oxide (NY/GO) and polyetherblockamide/ trisilinolphenyl-polyhederal oligomeric silsesquioxane (PEBA/t-POSS) composites were performed using high-resolution spectral domain optical coherence tomography (SD-OCT). This optical technology revealed both cross-sectional, as well as sub-layer depth information of sample. The non-destructive real-time imaging demonstrated the nature of defects in the composites. The thickness and location of each defect point in the composites were measured using A-scan analysis on the SD-OCT images. The cross-sectional and volumetric images clearly demonstrate the effectiveness of SD-OCT for composite research, as well as the for industrial quality assurance of polymer materials.
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