PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Complete Removal of Arbitrarily Strong and Arbitrarily Located Auto Correlation Artifacts in Spectral Domain Optical Coherence Tomography: Demonstration of an Efficient and Cost Effective Technique
Version 1
: Received: 12 January 2020 / Approved: 12 January 2020 / Online: 12 January 2020 (17:13:24 CET)
How to cite:
Nandakumar, H.; Mallick, S.; Srivastava, S. Complete Removal of Arbitrarily Strong and Arbitrarily Located Auto Correlation Artifacts in Spectral Domain Optical Coherence Tomography: Demonstration of an Efficient and Cost Effective Technique. Preprints2020, 2020010132 (doi: 10.20944/preprints202001.0132.v1).
Nandakumar, H.; Mallick, S.; Srivastava, S. Complete Removal of Arbitrarily Strong and Arbitrarily Located Auto Correlation Artifacts in Spectral Domain Optical Coherence Tomography: Demonstration of an Efficient and Cost Effective Technique. Preprints 2020, 2020010132 (doi: 10.20944/preprints202001.0132.v1).
Cite as:
Nandakumar, H.; Mallick, S.; Srivastava, S. Complete Removal of Arbitrarily Strong and Arbitrarily Located Auto Correlation Artifacts in Spectral Domain Optical Coherence Tomography: Demonstration of an Efficient and Cost Effective Technique. Preprints2020, 2020010132 (doi: 10.20944/preprints202001.0132.v1).
Nandakumar, H.; Mallick, S.; Srivastava, S. Complete Removal of Arbitrarily Strong and Arbitrarily Located Auto Correlation Artifacts in Spectral Domain Optical Coherence Tomography: Demonstration of an Efficient and Cost Effective Technique. Preprints 2020, 2020010132 (doi: 10.20944/preprints202001.0132.v1).
Abstract
The proof-of-principle demonstration of a simple, yet effective method of autocorrelation artifact removal for optical coherence tomography (OCT) is presented using a custom-designed parallel spectral-domain OCT (SD-OCT) instrument. Our real-time method is based on time-averaged sampling of a sinusoidal phase modulation in the reference arm. Unlike other existing methods, our technique can completely eliminate arbitrarily located, arbitrarily strong autocorrelation artifacts.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
