Unconventional Imaging: introduction to the feature issue.

This feature issue of Applied Optics is dedicated to the international meeting of Information Photonics 2020 (IP'20), which was held September 11-12, 2020, in Taipei, Taiwan. IP'20 covered a broad range of topics, including advanced display techniques, optical computing, and optical storage. This feature issue, however, limits topics to unconventional imaging techniques, such as digital holography, artificial-intelligence associated imaging, compressive imaging, and single-pixel imaging.

3D display by binary computer-generated holograms with localized random down-sampling and adaptive intensity accumulation.

In this paper, we proposed a new technique to realize a high-quality three-dimensional (3D) display by using binary holograms. First, we applied a localized random down-sampling (LRDS) mask to down-sample the object function and generated a binary CGH by direct sign-thresholding. Subsequently, we devised the display by adaptive intensity accumulation (AIA). In AIA, multiple CGHs of the same object are generated. However, selective sampling points of the same scene are removed according to the reconstructed image of previous binary CGHs as the second and more binary CGHs are generated. Finally, these holograms are sequentially displayed on a fast spatial light modulator, a digital micromirror device (DMD). Thus, a high-quality 3D image is reconstructed without artifacts and speckle noise.

Enhanced direct binary search algorithm for binary computer-generated Fresnel holograms.

The direct binary search (DBS) algorithm was originally invented for the synthesis of a binary Fourier hologram, and was applied for the generation of a binary Fresnel hologram recently. DBS performs quality evaluation on every pixel. Therefore, both the quality and diffraction efficiency of the generated binary hologram are better among various algorithms of the binary hologram. However, DBS is a time-consuming algorithm and thus is impractical for the generation of high-definition computer-generated holograms. In this paper, we proposed an enhanced DBS (E-DBS) method to speed up the hologram computation. E-DBS is based on the same pixelwise evaluation strategy of DBS, but the diffraction field of a single pixel is precomputed as a lookup table. In evaluating any pixel value, only a small area in the region of interest affected by the diffraction field of single pixel is calculated. In addition, it is also found that qualified results can be obtained by using only 4% of the area of the diffraction field. As a result, the computing complexity of E-DBS can be reduced by at least 2 orders of magnitude in contrast to conventional DBS.

Dysmetabolic hyperferritinemia is associated with normal transferrin saturation, mild hepatic iron overload, and elevated hepcidin.

Hyperferritinemia is common in individuals with the metabolic syndrome (dysmetabolic hyperferritinemia), but its pathophysiology and the degree to which it reflects tissue iron overload remains unclear. We conducted a cross-sectional study evaluating ten cases with dysmetabolic hyperferritinemia for liver iron overload and compared their serum iron indices and urine hepcidin levels to healthy controls. Seven out of ten cases had mild hepatic iron overload by magnetic resonance imaging (MRI) (median, 75 micromol/g dry weight). Cases had higher serum ferritin than controls (median, 672 microg/L vs. 105 microg/L, p < 0.001), but the median transferrin saturation was not significantly different (38% vs. 36%, p = 0.5). Urinary hepcidin was elevated in dysmetabolic hyperferritinemia (median; 1,584 g/mg of creatinine vs. 799 ng/mg of creatinine, p = 0.05). Dysmetabolic hyperferritinemia is characterized by hyperferritinemia with normal transferrin saturation, elevated hepcidin levels, and mild liver iron overload in a subset of patients.