Image reconstruction in photoacoustic microscopy and noise analysis
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Photoacoustic microscopy (PAM) is a new and emerging imaging method in last decades, based on photoacoustic effect. PAM, which does not contain ionizing radiation, is used to obtain the structural and functional images of different cancer cells based on the difference of the optical absorption properties. The recorded signal in the PAM is exposed to noise due to system components and environmental sources. In this study, pre-filtering for the reduction of the effect of noise components on the signals obtained by the photoacoustic microscope system and reconstruction of optical contrast images from these signals was studied.Keywords:
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Photoacoustic Spectroscopy
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Photoacoustic spectroscopy (PAS) can be utilized as an ultrasensitive gas detection method. The basic principles of gas detection using PAS are discussed in this paper. First, the basic instrumentation for a PAS gas detection system is introduced focusing on the photoacoustic cell. The discussion includes non-resonant photoacoustic cells and the different types of resonant photoacoustic cells, including the longitudinal photoacoustic cell, the Helmholtz photoacoustic cell, the T-type photoacoustic cell, and the high-frequency resonant photoacoustic cell. The basic working principles of each of these, cells as well as the advantages and disadvantages of photoacoustic cells are discussed, and the development of newer types of photoacoustic cells in recent years is outlined in detail. This review provides detailed reference information and guidance for interested researchers who would like to design and build advanced photoacoustic cells for gas detection.
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An all-optical non-resonant photoacoustic spectroscopy system for multicomponent gas detection based on a silicon cantilever optical microphone (SCOM) and an aseismic photoacoustic cell is proposed and demonstrated. The SCOM has a high sensitivity of over 96.25 rad/Pa with sensitivity fluctuation less than ±1.56 dB between 5 Hz to 250 Hz. Besides, the minimal detectable pressure (MDP) of the sensor is 0.55 μPa·Hz-1/2 at 200 Hz, which indicates that the fabricated sensor has high sensitivity and low noise level. Six different gases of CO2, CO, CH4, C2H6, C2H4, C2H2 are detected at the frequency of 10 Hz, whose detection limits (1σ) are 20.89 ppb, 309.70 ppb, 498.32 ppb, 70.98 ppb, 384.45 ppb and 139.20 ppb, respectively. The system achieves high sensitivity and low detection limits for trace gas detection. In addition, the system exhibits seismic performance with suppressing vibration noise by 4.5 times, and achieves long-term stable operation.
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Diabetes mellitus is a prevalent disease with a rapidly increasing incidence projected worldwide, affecting both industrialized and developing regions. Effective diabetes management requires precise therapeutic strategies, primarily through self-monitoring of blood glucose levels to achieve tight glycemic control, thereby mitigating the risk of severe complications. In recent years, there have been significant advancements in non-invasive techniques for measuring blood glucose using photoacoustic spectroscopy (PAS) as it shows great promise for the detection of glucose using the Infrared region (e.g. MIR & NIR) of light. A critical aspect of this method is the detection of the photoacoustic signal generated from blood glucose, which needs to be amplified through a photoacoustic resonator (PAR). In this work, an overview of various types of PARs used for noninvasive glucose sensing is reviewed, highlighting their operating principle, design requirements, limitations, and potential improvements needed to enhance the analysis of photoacoustic signals. This analysis will be helpful for the basic understanding and achieving the highly sensitive PAR required for noninvasive glucose monitoring.
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The goal of our investigations is to evaluate the photoacoustic spectroscopy technique a new tool for examination of technical working fluids properties. In the paper the last of spectrophotometric and photoacoustic measurements, concerning properties changes of oils and fuels after oxidation are presented. The photoacoustic experimental investigations of lubricating oils degradation in various conditions are outlined.
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Photoacoustic spectroscopy can be well applied in research of plant photosynthesis,a lot of study has be proven that,it can be more effective than traditional detection method.Photoacoustic cell is the core components in photoacoustic spectrometer.The design of photoacoustic cell directly influences the results of experiments.we summarized the design method of photoacoustic cell applicable in plant photosynthesis and its key problems which need attention,and prospected the combination of photoacoustic spectroscopy and other detection methods,put forward photoacoustic cell's subsequent design should be paid special attention to real-time on-line detection and its correlative technique problem.
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A semiempirical method for the inversion of photoacoustic signal profiles is presented, which allows the depth-resolved determination of the absorption coefficient of nonscattering samples. Experimentally determined reference profiles were used to reconstruct photoacoustic signal profiles measured with an indirect photoacoustic sensor system. The system was calibrated with homogeneous hydrogel samples. The developed inversion method was applied to layered hydrogel samples (two or three layers) and to a sample with continuously varying absorption properties. Particularly the investigation of the latter sample showed that the depth resolution of the used photoacoustic detection system is about 10 μm.
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The photoacoustic spectroscopy (PAS) with piezoelectric transducer was employed to evaluate band gap energies in Zn1−xBexSe mixed crystals of different composition. The spectra were measured at 300 K and 90 K using continuos wave excitation. The Jackson-Amer model of photoacoustic effect was applied. The increase of the band-gap energy with increasing Be content is observed. The photoacoustic results are compared with those from photoluminescence spectra.
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