Photoacoustic Tomography System for Roughly Painted Micro Objects

Setiawan, Andreas; Setiaji, Fransiscus Dalu; Dewantoro, Gunawan; Wibowo, Nur Aji

doi:10.26866/jees.2019.19.3.197

Cited by 6 publications

(8 citation statements)

References 24 publications

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“…It is referred to the effect of acoustic signal production caused by the interaction of the optical beam with the object. By combining the use of an optical beam and acoustic detection, the effect of diffuse optical disturbances can be avoided [12].…”

Section: Jinst 15 P04010mentioning

confidence: 99%

Subsurface detection of opaque and solid material defect based on photoacoustic effect

et al. 2020

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This study develops a subsurface detection system based on a photoacoustic effect. The main parts of the system are a laser diode as an exciter, a standard microphone as an acoustic detector, and a software-based phase sensitive detection (PSD) method. Artificial defects of various depths were made inside an alumunium plate as the object which was painted with acrylic paint to cover the defects. The difference in the thermal diffusivity of alumunium and acrylic paint will cause different amplitudes of photoacoustic so they can be used to detect the subsurface defects. Photoacoustic signal amplitudes used in this study as measured by a microphone have an average amplitude of −57 dB with an SNR of 11.2. High noise level was found below 2.153 Hz, so that the photoacoustic signal amplitude cannot be detected. The accuracy of PSD method was tested by measuring amplitude of 400-600 Hz sinusoidal voltages from a signal generator. The range of the amplitudes was 0.73-6.27 µV with a resulting maximum error of 9%. The PSD method was succesfully implemented to detect the subsurface defects of a 300 µm thick alumunium plate at depths of 215 µm, 241 µm, and 254 µm with a resulting maximum error of 5.83%.

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Section: Jinst 15 P04010mentioning

confidence: 99%

Subsurface detection of opaque and solid material defect based on photoacoustic effect

et al. 2020

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“…Heat conduction or thermal conduction is the transmission of heat without the transfer of parts of the intermediary substance [1,2]. This transmission usually occurs in solid objects.…”

Section: Introductionmentioning

confidence: 99%

Thermal conductivity measurement experiment of metal using heat sensor and Arduino

Damaira,

Muninggar,

Setiawan

2024

J. Phys.: Conf. Ser.

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The characteristics of metals are very important to know in order to get optimal utilisation. In this research, a system for measuring the heat propagation of various types of metals is developed. Measurements will be made using a number of LM35 sensors placed scattered on the metal to be tested. In this research, Arduino is used to read the data through ADC which then sends the data to the computer. The data is then processed simultaneously for several metal samples so that the heat propagation of each can be compared. The fixed parameters used in this research are the area of each plate and also the distance between the plates. Finally, the success of the method to measure the heat propagation of different metals is reported. Further results can be developed to identify different types of metals and their purity.

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“…This study aims to develop a non-contact measurement system based on photoacoustic techniques to detect differences in soft tissue phantom stiffness based on the results of image reconstruction at the resonance frequency. The photoacoustic signal is detected by the microphone as an air-coupled transducer, enabling non-contact measurements [ 10 , 11 ]. Phantom samples are objects designed to mimic the properties of biologic tissues, such as acoustic impedance, acoustic propagation velocity, and attenuation coefficient.…”

Section: Introductionmentioning

confidence: 99%

Resonance frequency measurement to identify stiffness variations based on photoacoustic imaging

Pratama,

Setiawan,

Widyaningrum

et al. 2024

BIOPHYSICS

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Linear assumption on the level of stiffness in a tissue shows a significant correlation with disease. Photoacoustic imaging techniques that are non-contact by design have been developed in this study to detect differences in phantom (soft tissue mimicking materials) stiffness. This study aims to detect differences in phantom stiffness based on the results of image reconstruction at the resonance frequency. Four phantom agars with differing concentrations were made to achieve different stiffnesses. The position of each phantom agar’s highest photoacoustic signal amplitude is identified by a frequency modulation sweep. The characterization results show an increase in resonance frequency along with an increase in phantom stiffness. The image difference can be detected because the intensity of the photoacoustic image in samples that have a resonance frequency with laser modulation is comparatively higher than in other samples.

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Photoacoustic Tomography System for Roughly Painted Micro Objects

Cited by 6 publications

References 24 publications

Subsurface detection of opaque and solid material defect based on photoacoustic effect

Subsurface detection of opaque and solid material defect based on photoacoustic effect

Thermal conductivity measurement experiment of metal using heat sensor and Arduino

Resonance frequency measurement to identify stiffness variations based on photoacoustic imaging

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