ArticleApplied optics2016
Automated interferometric synthetic aperture microscopy and computational adaptive optics for improved optical coherence tomography.
Article in Applied optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Computational approach for correcting defocus and suppressing speckle noise in line-field optical coherence tomography images.Biomedical optics express · 2024Article
- Correcting spatial-spectral crosstalk and chromatic aberrations in broadband line-scan spectral-domain OCT images.Biomedical optics express · 2023Article
- Computational refocusing of Jones matrix polarization-sensitive optical coherence tomography and investigation of defocus-induced polarization artifacts.Biomedical optics express · 2022Article
- Closed-loop wavefront sensing and correction in the mouse brain with computed optical coherence microscopy.Biomedical optics express · 2021Article
- Bulk-phase-error correction for phase-sensitive signal processing of optical coherence tomography.Biomedical optics express · 2020Article
- Aberration-diverse optical coherence tomography for suppression of multiple scattering and speckle.Biomedical optics express · 2018Article
- Volumetric optical coherence microscopy with a high space-bandwidth-Biomedical optics express · 2018Article
- Review of adaptive optics OCT (AO-OCT): principles and applications for retinal imaging [Invited].Biomedical optics express · 2017Review
- Computational optical coherence tomography [Invited].Biomedical optics express · 2017Article
- Automated computational aberration correction method for broadband interferometric imaging techniques.Optics letters · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
In this paper, we introduce an algorithm framework for the automation of interferometric synthetic aperture microscopy (ISAM). Under this framework, common processing steps such as dispersion correction, Fourier domain resampling, and computational adaptive optics aberration correction are carried out as metrics-assisted parameter search problems. We further present the results of this algorithm applied to phantom and biological tissue samples and compare with manually adjusted results. With the automated algorithm, near-optimal ISAM reconstruction can be achieved without manual adjustment. At the same time, the technical barrier for the nonexpert using ISAM imaging is also significantly lowered.
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Registered trials
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