Paper
30 January 2019 Lensless in-line holographic microscope resolution enhancement method from two intensity measurements based on data interpolation
Author Affiliations +
Proceedings Volume 10841, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Meta-Surface-Wave and Planar Optics; 108410F (2019) https://doi.org/10.1117/12.2512106
Event: Ninth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT2018), 2018, Chengdu, China
Abstract
With the improvement of the performance of electro-optical sensors and computer performance, lensless digital in-line holography has been studied and applied widely. However, the resolution of the digital in-line holography system are limited by pixel size and influenced by the twin image. To solve the problem, we proposed a resolution enhancement method, which collects two holograms with different sample-to-sensor distance. The reconstruction is based on Gerchberg–Saxton iteration algorithm, using two normalized and interpolated holograms. We used two prior constraints in the iteration process according to the iteration algorithm for phase retrieval: intensity of the two normalized holograms and the non-negative absorption of the sample. In this method, the interpolation operation before phase retrieval can digitally reduce the sampling interval, and the interpolation point will be optimized with the iteration process. We simulated the resolution enhancement method, and the results of the simulation show that the resolution and image quality of lensless digital in-line holography can be effectively improved.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fanxing Li, Peng Tian, Wei Yan, Fan Yang, and Fuping Peng "Lensless in-line holographic microscope resolution enhancement method from two intensity measurements based on data interpolation", Proc. SPIE 10841, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Meta-Surface-Wave and Planar Optics, 108410F (30 January 2019); https://doi.org/10.1117/12.2512106
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KEYWORDS
Holograms

Image resolution

Digital holography

Resolution enhancement technologies

Holography

Phase retrieval

3D image reconstruction

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