ArticleOptics express2017
Modeling the depth-sectioning effect in reflection-mode dynamic speckle-field interferometric microscopy.
Article in Optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dynamic speckle illumination wide-field fluorescence microscopy with actively optical manipulation of rotational angles.Biomedical optics express · 2024Article
- In vivo visualization of butterfly scale cell morphogenesis inProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Inverse scattering for reflection intensity phase microscopy.Biomedical optics express · 2020Article
- Article
- Tomographic phase microscopy: principles and applications in bioimaging [Invited].Journal of the Optical Society of America. B, Optical physicsArticle
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Authors and funding
9 authors.
Funding
Abstract
Unlike most optical coherence microscopy (OCM) systems, dynamic speckle-field interferometric microscopy (DSIM) achieves depth sectioning through the spatial-coherence gating effect. Under high numerical aperture (NA) speckle-field illumination, our previous experiments have demonstrated less than 1 μm depth resolution in reflection-mode DSIM, while doubling the diffraction limited resolution as under structured illumination. However, there has not been a physical model to rigorously describe the speckle imaging process, in particular explaining the sectioning effect under high illumination and imaging NA settings in DSIM. In this paper, we develop such a model based on the diffraction tomography theory and the speckle statistics. Using this model, we calculate the system response function, which is used to further obtain the depth resolution limit in reflection-mode DSIM. Theoretically calculated depth resolution limit is in an excellent agreement with experiment results. We envision that our physical model will not only help in understanding the imaging process in DSIM, but also enable better designing such systems for depth-resolved measurements in biological cells and tissues.
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