Analysis of the Image Magnification Produced by Inline Holographic Systems Based on the Double-Sideband Filter
Source abstract
Abstract
In-line digital holography is a powerful tool widely used for microscopic object imaging. Usually, in-line and out-line configurations are used to implement holographic systems, but in-line-based set-ups are preferable as they are less sensitive to mechanical vibrations and refraction index variations. However, non-desired blurred conjugate images are superposed to the reconstructed object image by using in-line systems. One strategy to remove the conjugate image contribution is to include a double-sideband filter at the Fourier plane of the system. After using the filter, data obtained at the CCD are processed to retrieve the magnitude and phase (hologram) of the diffracted wavefront while removing the conjugated image. Afterwards, a diffraction integral equation is used to digitally propagate the hologram. Despite the above-mentioned factors, there is not a thorough analysis in the literature of magnification parameters associated with the final reconstructed image, this aspect being crucial for the experimental application of the above-stated approach. Under this scenario, a theoretical analysis of the longitudinal and transverse magnifications of the reconstructed images is provided in this work. The method is validated through the simulation and experimental results of different microscopic objects: glass microspheres, a micrometric reticle, and a resolution test chart USAF 1951. The obtained results provide that the combination of magnification relations with methods for hologram propagation and optimal focused image identification is effective for object position determination. This approach could be useful for 3D microparticle localization and monitoring with optimized magnification within real-time applications.
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Research context
OpenAlex topics: Digital Holography and Microscopy · Image Processing Techniques and Applications · Optical measurement and interference techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Departamento de Óptica, Microondas y Acústica, Instituto de Ciencias Aplicadas y Tecnología ICAT, Universidad Nacional Autónoma de México UNAM, Ciudad de México 04510, Mexico
Grupo de Óptica, Departamento de Física, Universitat Autònoma de Barcelona UAB, 08193 Bellaterra, Spain
Funding
DGAPA-UNAM · Ministerio de Ciencia e Innovación and Fondos FEDER · Generalitat de Catalunya
References (31)
Show source-provided references
1. True 3D reconstruction in digital holography10.1088/2515-7647/abb586 ↗
2. Aberration compensation for enhanced holographic particle characterization10.1364/OE.494593 ↗
3. Holographic Image Reconstruction with Phase Recovery and Autofocusing Using Recurrent Neural Networks10.1021/acsphotonics.1c00337 ↗
4. Dyomin, V., Davydova, A., and Polovtsev, I. (2024). Geometric-Optical Model of Digital Holographic Particle Recording System and Features of Its Application. Photonics, 11.10.3390/photonics11010073 ↗
5. Digital holography-assisted 3-D bright-field image reconstruction and refocusing10.1007/s10043-020-00615-7 ↗
6. Holographic tracking of living cells by three-dimensional reconstructed complex wavefronts alignment10.1364/OL.39.002759 ↗
7. Digital Holography, a metrological tool for quantitative analysis: Trends and future applications10.1016/j.optlaseng.2017.11.013 ↗
8. A new microscopic principle10.1038/161777a0 ↗
9. Reconstructed wavefronts and communication theory10.1364/JOSA.52.001123 ↗
10. Off-axis optical scanning holography10.1364/JOSAA.444745 ↗
11. Off-axis digital holographic multiplexing for rapid wavefront acquisition and processing10.1364/AOP.384612 ↗
12. Real-time digital holographic microscopy for phase contrast 3D imaging of dynamic phenomena10.1109/JDT.2010.2052020 ↗
13. Off-axis interferometric phase microscopy with tripled imaging area10.1364/OL.39.001525 ↗
14. Twin-image suppression in digital in-line holography based on wave-front filtering10.1007/s10044-020-00949-7 ↗
15. Twin-image reduction method using a diffuser for phase imaging in-line digital holography10.1364/AO.57.005652 ↗
16. Twin-Image-Free Holography: A Compressive Sensing Approach10.1103/PhysRevLett.121.093902 ↗
17. Improved digital holographic reconstruction algorithm for depth error reduction and elimination of out-of-focus particles10.1364/OE.18.002426 ↗
18. Single-sideband holography10.1364/JOSA.58.000620 ↗
19. Frequency analysis of digital holography10.1117/1.1458551 ↗
20. Inline digital holographic movie based on a double-sideband filter10.1364/OL.40.004142 ↗
21. Method based on the double sideband technique for the dynamic tracking of micrometric particles10.1088/2040-8978/18/6/065603 ↗
22. Wavefront imaging by using an inline holographic microscopy system based on a double-sideband filter10.1016/j.optlaseng.2018.10.003 ↗
23. Digital holographic reconstruction of a local object field using an adjustable magnification10.1364/JOSAA.28.001291 ↗
24. Goodman, J.W. (2005). Introduction to Fourier Optics, Roberts & Company Publishers. [3rd ed.].
25. Analysis of numerical diffraction calculation methods: From the perspective of phase space optics and the sampling theorem10.1364/JOSAA.401908 ↗
26. Scalar Rayleigh-Sommerfeld and Kirchhoff diffraction integrals: A comparison of exact evaluations for axial points10.1364/JOSA.63.001003 ↗
27. A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront
28. On the holographic 3D tracking of in vitro cells characterized by a highly-morphological change10.1364/OE.20.028485 ↗
29. Gini Index as Sparsity Measure for Signal Reconstruction from Compressive Samples10.1109/JSTSP.2011.2160711 ↗
30. Edge sparsity criterion for robust holographic autofocusing10.1364/OL.42.003824 ↗
31. Enhanced Autofocusing in Optical Scanning Holography Based on Hologram Decomposition10.1109/TII.2017.2708764 ↗