Paper
27 April 2020 Reduction in data acquisition for resolution improvement in structured illumination digital holographic microscopy
Author Affiliations +
Abstract
Over the last years structured illumination digital holographic microscopy (SI-DHM) has been experimentally proved to double the resolution limit in conventional DHM. In SI-DHM, the underlying specimen is illuminated using a spatially varying structured illumination (SI) pattern, which enables super-resolution (SR) images to be retrieved using the proper computational reconstruction process. All these reconstruction methods require the acquisition of at least a couple phase-shifted DHM images. In particular, for a pure sinusoidal pattern, there is a need of recording two phase-shifted DHM images per orientation of the pattern (e.g., 6 images per isotropic SR improvement). Taking advantage of the simultaneous recording of the virtual (e.g., conjugated) image in the raw DHM image, here we present a novel computational method to reconstruct an isotropic SR image using one acquisition per pattern’s orientation (e.g. total 3 images per isotropic improvement). Because our proposed method shows a 50% reduction in the data acquisition and, therefore, acquisition time, we believe that our method should increase the utility of SI-DHM in live-cell imaging. We have validated our method using simulated and results.
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R. Castaneda, T. O'Connor, Ana Doblas, and B. Javidi "Reduction in data acquisition for resolution improvement in structured illumination digital holographic microscopy", Proc. SPIE 11402, Three-Dimensional Imaging, Visualization, and Display 2020, 114020R (27 April 2020); https://doi.org/10.1117/12.2555091
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KEYWORDS
Digital holography

Holograms

Imaging systems

Fourier transforms

Stars

Data acquisition

Holography

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