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    Comparison of Interferometry Applications: Michelson vs. Sagnac Interferometers
    (2025-05-14)
    Wannasri, Thanawat
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    An interferometer is a crucial instrument for collecting information on interference patterns, widely used in both scientific and industrial applications. This paper was focused on comparing the interferometric applications of the Michelson and Sagnac interferometers. The Michelson interferometer, characterized by its double-path setup, and the Sagnac interferometer, which operates on a common-path principle, were analyzed. Experiments were conducted to capture interference patterns of different samples using both interferometers. In the first experiment, the image fringes of the alphabet characters (K, M, I, T, and L) were captured, while in the second, fingerprint patterns were captured. The results showed that both interferometers produced similar fringes for the alphabet characters, although the Sagnac interferometer exhibited a higher circular frequency. In the fingerprint experiment, the Michelson interferometer produced linear fringes. This study highlights the distinct fringe patterns generated by each interferometer when different samples are analyzed, providing valuable insights into their diverse applications.
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    Image Generation for Moina Classification using GAN-CNN and Digital Holography
    (2024-01-01)
    Voochaiyaphum, Bunyarit
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    Moina are small aquatic organisms that cannot be differentiated by species with the naked eye. In this research, we employed the GAN-CNN technique to generate images of Moina from raw hologram data and to automatically classify the species. The experimental results demonstrate the effectiveness of the GAN-CNN technique for species classification.
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    Image Generation for Moina Classification using GAN-CNN and Digital Holography
    (2024-01-01)
    Voochaiyaphum, Bunyarit
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    ;
    Moina are small aquatic organisms that cannot be differentiated by species with the naked eye. In this research, we employed the GAN-CNN technique to generate images of Moina from raw hologram data and to automatically classify the species. The experimental results demonstrate the effectiveness of the GAN-CNN technique for species classification.
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    Item type:Publication,
    Speckle imaging of graphene oxide and reduced graphene oxide
    (2025-01-01)
    Sirikarntayuprakit, Pakkanhan
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    Rattanasirawit, Chinnapat
    Laser speckle imaging is a non-contact technique for analyzing materials' surface roughness and scattering characteristics. This study investigated the speckle patterns of graphene oxide (GO) in sheet form and reduced graphene oxide (rGO) in powder form under coherent laser illumination. The intensity distributions were recorded using a CMOS camera and analyzed statistically to determine key surface parameters, including speckle contrast and roughness. The results show that GO produces a finer, more uniform speckle pattern with lower contrast and roughness values than rGO, which exhibits coarser and more irregular patterns. These differences reflect the distinct structural characteristics of the two materials. The findings demonstrate the potential of speckle imaging for non-destructive optical characterization of graphene-based materials.