Single-distance phase retrieval algorithm for Bragg Magnifier microscope
| Autor: | Stanislav Hrivňak, Zdenko Zápražný, Libor Švéda, Eva Gimenez-Navarro, Tilo Baumbach, Ladislav Mikeš, E. Hamann, Christoph Rau, Ulrich Wagner, Hartmut Greven, Angelica Cecilia, Patrik Vagovic, Jozef Uličný, Dušan Korytár |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Physics Technology 030103 biophysics Microscope business.industry Detector Fast Fourier transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Holography Phase (waves) Atomic and Molecular Physics and Optics Imaging phantom law.invention 03 medical and health sciences Optics Power iteration law ddc:530 Phase retrieval business ddc:600 Algorithm |
| Zdroj: | Optics express, 24 (24), 27753-27762 Optics express 24(24), 27753 (2016). doi:10.1364/OE.24.027753 |
| ISSN: | 1094-4087 |
| DOI: | 10.1364/oe.24.027753 |
| Popis: | Optics express 24(24), 27753 (2016). doi:10.1364/OE.24.027753 We present an improved, single-distance phase retrieval algorithm applicable for holographic X-ray imaging of biological objects for an in-line germanium Bragg Magnifier Microscope (BMM). The proposed algorithm takes advantage of a modified shrink-wrap algorithm for phase objects, robust unwrapping algorithm as well as other reasonable constraints applied to the wavefield at the object and the detector plane. The performance of the algorithm is analyzed on phantom objects and the results are shown and discussed. We demonstrated the suitability of the algorithm for the phase retrieval on a more complex biological specimen Tardigrade, where we achieved successful phase retrieval from only a single hologram. The spatial resolution obtained by Fourier spectral power method for biological objects is ∼ 300 nm, the same value as obtained from the reconstructed test pattern. Our results achieved using the new algorithm confirmed the potential of BMM for in-vivo, dose-efficient single-shot imaging of biological objects. Published by Soc., Washington, DC |
| Databáze: | OpenAIRE |
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