Buranasiri, Prathan

Preferred name

Buranasiri, Prathan

Alternative Name

Buranasiri, P.

Main Affiliation

School of Science

prathan.bu@kmitl.ac.th

Now showing 1 - 7 of 7

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NiO thickness measurement using a rectangular-type Sagnac interferometer as the material transport layer in a perovskite solar cell
(2024-04-10)
Usman, Abdullahi
;
Bhatranand, Apichai
;
Jiraraksopakun, Yuttapong
;
Muhammad, Khalid Sabo
;
Buranasiri, Prathan
This work aims to utilize a phase-shifting technique in a rectangular-type Sagnac interferometer (RTSI) to measure the thickness of a thin film of nickel (II) oxide (NiO) in an electron transport layer (ETL) in perovskite solar cell preparation. TheNiO layer is deposited on a fluorine-doped tin oxide (FTO) glass substrate. In the RTSI setup, the signal output from the interferometer is divided into the reference and testing arms using a nonpolarizing beam splitter (NPBS). The balanced photodetectors then detect the signal, with the FTO/NiO layer placed in the testing armand pure FTOin the reference arm. By analyzing the signal intensities at polarization settings of 0° to 180°, the phase shift and thickness of theNiO layer can be determined. The thickness values of FTOandNiO films obtained through three different phase-shifting algorithms of three-, four-, and five-steps are calculated. The obtained NiO thickness values are validated against scanning electron microscopy (SEM). Finally, by considering the NiO thickness value that exhibits the lowest percentage error compared to one from SEM, it is confirmed that the three-step algorithm is the most suitable scheme for obtaining intensities at 0°, 45°, and 90°. Therefore, the proposed setup shows promise as a replacement forSEMin thickness measurements.
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Phase-shifting determination and pattern recognition using a modified Sagnac interferometer with multiple reflections
(2024-02-01)
Usman, Abdullahi
;
Bhatranand, Apichai
;
Jiraraksopakun, Yuttapong
;
Muhammad, Khalid Sabo
;
Buranasiri, Prathan
This work has implemented a diverse modification of the Sagnac interferometer to accommodate various measurement requirements, including phase shifting, pattern recognition, and a morphological analysis. These modifications were introduced to validate the adaptability and versatility of the system. To enable phase shifting using the multiple light reflection technique, a half-wave plate (HWP) was utilized with rotations at 0, π/8, π/4, and 3π/8 radians, generating four interference patterns. It is possible to observe a distinct circular fringe width as the polarized light experiences diffraction at the interferometer’s output as it travels through a circular aperture with various diameters ranging from 0.4 to 1 mm. Further modifications were made to the setup by inserting a pure glass and a fluoride-doped tin oxide (FTO) transparent substrate into the common path. This modification aimed to detect and analyze a horizontal fringe pattern. Subsequently, the FTO substrate was replaced with a bee leg to facilitate morphology recognition. A deep learning-based image processing technique was employed to analyze the bee leg morphology. The experimental results showed that the proposed scheme succeeded in achieving the phase shift, measuring hole diameters with errors smaller than 1.6%, separating distinct transparent crystals, and acquiring the morphological view of a bee’s leg. The method also has successfully achieved an accurate surface area and background segmentation with an accuracy over 87%. Overall, the outcomes demonstrated the potential of proposed interferometers for various applications, and the advantages of the optical sensors were highlighted, particularly in microscopic applications. © 2024 Optica Publishing Group
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Classification of Fingerprints to Study the Relationship Between Fingerprint Types and Disease Lesions Using the Mach-Zehnder Interferometer Technique - Phase I: Classification of Fingerprints
(2024-01-01)
Thonglim, Pachara
;
Usman, Abdullahi
;
Bhatranand, Apichai
;
Buranasiri, Prathan
The investigation of fingerprints was performed using the Mach-Zehnder interferometer technique to classify fingerprint types. Fingerprint type images have been applied to predict the probability of disease in humans for the next phase.
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Machine learning based fingerprint pattern recognition with Mach-Zehnder Interferometer
(2025-01-01)
Usman, Abdullahi
;
Khun-In, Ravivudh
;
Bhatranand, Apichai
;
Chayawan, Chirasil
;
Muhammad, Khalid Sabo
Fingerprints serve as an excellent means of individual identification. This study employed transmission-mode image detection using a Mach-Zehnder interferometer to produce two-dimensional fingerprint images. The research aims to develop a fingerprint pattern recognition system by integrating novel algorithms for ridge orientation analysis. The fingerprint patterns considered in this study include loops, arches, and whorls. The objective is to achieve high-resolution fingerprint patterns to analyze fingerprint variability, distinguish foreground from background regions, and trace ridge line orientations. The recognition algorithm is implemented using image processing techniques, with a preprocessing workflow that includes binarization, resizing, and histogram equalization for image enhancement. After preprocessing, the image undergoes ridge orientation analysis using the gradient method, and both similarity scores and pattern categorization were successfully achieved. The algorithm's performance was evaluated through MATLAB simulations, with results demonstrating the proposed system's accuracy and reliability across various fingerprint samples. The interferometric setup was also adapted to recognize microorganisms within a microfluidic channel, highlighting its potential applications in biometrics, forensics, and medical diagnostics.
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Measurement of the degree of polarization using FTO in a rectangular-type Sagnac interferometer
(2025-01-01)
Usman, Abdullahi
;
Bhatranand, Apichai
;
Jiraraksopakun, Yuttapong
;
Buranasiri, Prathan
This paper presents a modified Sagnac interferometer using a self-referenced polarization and phase-shifting technique for real-time measurement of rotating polarized light and the degree of polarization (DOP). The setup achieved a high DOP of 98.97%, enabling accurate reference signals for measuring the effective thickness in the samples deposited on the FTO glass substrate.
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Polarization phase shifting for thickness measurement of NiO material transport layer using Sagnac interferometer
(2023-01-01)
Usman, Abdullahi
;
Thonglim, Pachara
;
Bhatranand, Apichai
;
Pimanpang, Samuk
;
Buranasiri, Prathan
The optical interferometric technique with polarization phase shifting has been realized as one of the most important techniques for optical non-contact measurements. However, the measurement of thin film thickness using field emission scanning electron microscopy (FE-SEM) or scanning electron microscopy (SEM) has been inconvenient due to the high cost of maintenance. This research aims to measure the thickness of the Hole Transport Material Nickel (II) oxide (NiO) layer deposited on a glass substrate (NiO/FTO layer) using phase shifting in a Sagnac interferometer. In the experimental setup, the signal is split into the FTO reference arm and the NiO/FTO sample arm using a nonpolarizing beam splitter. The split signals are then detected through a balanced photodetector. By analyzing the signal intensities at polarization settings ranging from 0° to 90°, the phase shift and thickness of the NiO layer can be determined. In this study, a NiO thickness value of 281.64 nm was successfully achieved. To evaluate the accuracy of the proposed measurement method, the percentage error between the proposed technique and the conventional SEM method was computed. The percentage error was found to be 0.23%. These results indicate that the proposed setup holds promise as a cost-effective alternative to SEM for measuring thin film thickness.
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Classification of Fingerprints to Study the Relationship Between Fingerprint Types and Disease Lesions Using the Mach-Zehnder Interferometer Technique - Phase I: Classification of Fingerprints
(2024-01-01)
Thonglim, Pachara
;
Usman, Abdullahi
;
Bhatranand, Apichai
;
Buranasiri, Prathan
The investigation of fingerprints was performed using the Mach-Zehnder interferometer technique to classify fingerprint types. Fingerprint type images have been applied to predict the probability of disease in humans for the next phase.

Buranasiri, Prathan

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