The remarkable ability of metasurfaces to manipulate wavefronts in a versatile manner, coupled with their compact and ultrathin configuration, has garnered significant interest. These characteristics make metasurfaces ideally suited for fulfilling the demands of compact computational imaging systems. In this research endeavor, we present a comprehensive metasurface inverse design model, which operates in an end-to-end method, within a joint optimization framework for computational imaging. To exemplify its efficacy, we demonstrate the application of this model using silicon meta-atoms, showcasing its potential for broadband near-infrared imaging. This work contributes to the advancement of computational imaging techniques, providing a promising avenue for future developments in the field.
{"title":"End-to-end metasurface inverse design for NIR computational imaging","authors":"Chang Wang, Qiangbo Zhang, Xinyu Liu, Yang Zhang, Zhou Xu, Zhenrong Zheng","doi":"10.1117/12.2687265","DOIUrl":"https://doi.org/10.1117/12.2687265","url":null,"abstract":"The remarkable ability of metasurfaces to manipulate wavefronts in a versatile manner, coupled with their compact and ultrathin configuration, has garnered significant interest. These characteristics make metasurfaces ideally suited for fulfilling the demands of compact computational imaging systems. In this research endeavor, we present a comprehensive metasurface inverse design model, which operates in an end-to-end method, within a joint optimization framework for computational imaging. To exemplify its efficacy, we demonstrate the application of this model using silicon meta-atoms, showcasing its potential for broadband near-infrared imaging. This work contributes to the advancement of computational imaging techniques, providing a promising avenue for future developments in the field.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"25 1","pages":"1276702 - 1276702-4"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139233091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Kumagai, Hsin-hui Huang, Koji Hatanaka, Y. Hayasaki
Femtosecond-laser-driven light sources on a water film have been applied for computational broadband imaging. The spatially selective generated light sources on a water film form a structured illumination pattern with a broadband wavelength including visible and non-visible region. The spatial position of the light source was controlled by beam deflection using a galvanometer scanner or phase modulation with computer-generated holograms displayed on a liquid crystal on silicon spatial light modulator. The light source excited on a water film can produce a broad emission spectrum that includes x-rays and terahertz waves in addition to the visible region. We have demonstrated x-ray and visible imaging by using the femtosecond-laser-driven light sources which was two-dimensionally generated on a water film. Furthermore, the imaging time was reduced while maintaining the number of pixels in the reconstructed image by using compressed sensing algorithms and coded illumination patterns.
水膜上的飞秒激光驱动光源被应用于计算宽带成像。在水膜上产生的空间选择性光源形成了宽带波长的结构照明模式，包括可见光和不可见光区域。光源的空间位置由振镜扫描仪的光束偏转或计算机生成的全息图在硅液晶空间光调制器上显示的相位调制来控制。在水膜上激发的光源可产生宽广的发射光谱，除可见光区域外，还包括 X 射线和太赫兹波。我们利用飞秒激光驱动光源在水膜上产生的二维光源演示了 X 射线和可见光成像。此外，通过使用压缩传感算法和编码照明模式，在保持重建图像像素数量的同时缩短了成像时间。
{"title":"Holographic laser-driven light sources for computational imaging","authors":"K. Kumagai, Hsin-hui Huang, Koji Hatanaka, Y. Hayasaki","doi":"10.1117/12.2686667","DOIUrl":"https://doi.org/10.1117/12.2686667","url":null,"abstract":"Femtosecond-laser-driven light sources on a water film have been applied for computational broadband imaging. The spatially selective generated light sources on a water film form a structured illumination pattern with a broadband wavelength including visible and non-visible region. The spatial position of the light source was controlled by beam deflection using a galvanometer scanner or phase modulation with computer-generated holograms displayed on a liquid crystal on silicon spatial light modulator. The light source excited on a water film can produce a broad emission spectrum that includes x-rays and terahertz waves in addition to the visible region. We have demonstrated x-ray and visible imaging by using the femtosecond-laser-driven light sources which was two-dimensionally generated on a water film. Furthermore, the imaging time was reduced while maintaining the number of pixels in the reconstructed image by using compressed sensing algorithms and coded illumination patterns.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"1 1","pages":"127660D - 127660D-2"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139233378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The present paper proposes a Surface Plasmon Resonance (SPR) sensor utilizing Twisted Bilayer Graphene (TBG)- Hexagonal Boron Nitride (hBN) heterostructures to enhance the Goos-Hänchen (GH) shift. The study presents a theoretical demonstration of the adjustability of GH shift via tuning the TBG twist angle, the number of TBG layers, and the thickness of hBN, respectively. The two-dimensional twisted bilayer graphene twist angle effectively promotes the sensitivity of the sensor. With a relative twist angle of 76.87°, the sensitivity of this sensor structure is remarkably enhanced to 1.8×108 μm/RIU. The outcomes of this investigation offer a theoretical underpinning for the development of new high-sensitivity biosensors.
{"title":"High-sensitivity Goos-Hänchen shifts sensor in twisted bilayer graphene on hexagonal boron nitride","authors":"Siying Huang, Leyong Jiang, Zhiwei Zheng","doi":"10.1117/12.2686933","DOIUrl":"https://doi.org/10.1117/12.2686933","url":null,"abstract":"The present paper proposes a Surface Plasmon Resonance (SPR) sensor utilizing Twisted Bilayer Graphene (TBG)- Hexagonal Boron Nitride (hBN) heterostructures to enhance the Goos-Hänchen (GH) shift. The study presents a theoretical demonstration of the adjustability of GH shift via tuning the TBG twist angle, the number of TBG layers, and the thickness of hBN, respectively. The two-dimensional twisted bilayer graphene twist angle effectively promotes the sensitivity of the sensor. With a relative twist angle of 76.87°, the sensitivity of this sensor structure is remarkably enhanced to 1.8×108 μm/RIU. The outcomes of this investigation offer a theoretical underpinning for the development of new high-sensitivity biosensors.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"29 1","pages":"1277108 - 1277108-4"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139231266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The refractive index of a material is one of the most important optical parameters. In this paper, we propose the method of Self-Mixing Interferometry (SMI) to measure the refractive index of materials. SMI is superior to other laser interferometry methods because of its characteristics of simplicity and compactness. However, SMI signals are not easy to be analyzed due to the low signal-to-noise ratio and the loss of phase information. Based on the advantages of Convolutional Neural Network (CNN), in this work, we propose a scheme to reconstruct the refractive index of materials from SMI signals based on CNN. With the injection current to the laser being driven by a sawtooth wave, we first obtain different SMI signals by letting the light passing through materials with different refractive indexes under the condition of known material thickness, and then train CNN with SMI signals. The trained network is then used to estimate the refractive indexes of materials. The results show that the method is noise-proof and has high adaptability to the measurement under different conditions.
{"title":"Measurement of materials refractive indexs based on laser self-mixing interferometry and convolutional neural network","authors":"Jinyuan Chen, Junwei H. Xu, Bin Liu","doi":"10.1117/12.2687384","DOIUrl":"https://doi.org/10.1117/12.2687384","url":null,"abstract":"The refractive index of a material is one of the most important optical parameters. In this paper, we propose the method of Self-Mixing Interferometry (SMI) to measure the refractive index of materials. SMI is superior to other laser interferometry methods because of its characteristics of simplicity and compactness. However, SMI signals are not easy to be analyzed due to the low signal-to-noise ratio and the loss of phase information. Based on the advantages of Convolutional Neural Network (CNN), in this work, we propose a scheme to reconstruct the refractive index of materials from SMI signals based on CNN. With the injection current to the laser being driven by a sawtooth wave, we first obtain different SMI signals by letting the light passing through materials with different refractive indexes under the condition of known material thickness, and then train CNN with SMI signals. The trained network is then used to estimate the refractive indexes of materials. The results show that the method is noise-proof and has high adaptability to the measurement under different conditions.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"47 1","pages":"127610G - 127610G-5"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139231589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Logunov, Ildar Yusupov, Dmitriy Shestakov, Andrey Shishov, Ilya Tumkin
Laser assisted metallization from deep eutectic solutions is a method that allows metal (Cu, Ni, Ag..) to be deposited locally from a film of deep eutectic solution using picosecond laser radiation. As a result, it is possible to create metals or oxides structures on the surface of almost any dielectric without template. The method allows creating conductive structures on curved surfaces with high resolution. This paper shows the creation of electronic components from copper on the surface of glass. We created RFID tag and other devices with a maximum deposition rate of 18mm/sec to show the opportunities of the method. The results demonstrate the advantages of the method, and the low cost of precursors, the simplicity of the method, and its environmental friendliness make it attractive for further implementation in the industry.
深共晶溶液激光辅助金属化是一种利用皮秒激光辐射从深共晶溶液薄膜中局部沉积金属（铜、镍、银......）的方法。因此，几乎可以在任何电介质表面制造金属或氧化物结构，而无需模板。这种方法可以在曲面上创建高分辨率的导电结构。本文展示了在玻璃表面用铜制作电子元件的过程。我们以 18 毫米/秒的最大沉积速度制作了 RFID 标签和其他器件，以展示该方法的优势。结果表明了该方法的优势，而且前驱体成本低廉、方法简单、环境友好，使其在工业领域的进一步应用具有吸引力。
{"title":"High speed laser-assisted copper microstructures synthesis from deep eutectic solutions","authors":"L. Logunov, Ildar Yusupov, Dmitriy Shestakov, Andrey Shishov, Ilya Tumkin","doi":"10.1117/12.2690631","DOIUrl":"https://doi.org/10.1117/12.2690631","url":null,"abstract":"Laser assisted metallization from deep eutectic solutions is a method that allows metal (Cu, Ni, Ag..) to be deposited locally from a film of deep eutectic solution using picosecond laser radiation. As a result, it is possible to create metals or oxides structures on the surface of almost any dielectric without template. The method allows creating conductive structures on curved surfaces with high resolution. This paper shows the creation of electronic components from copper on the surface of glass. We created RFID tag and other devices with a maximum deposition rate of 18mm/sec to show the opportunities of the method. The results demonstrate the advantages of the method, and the low cost of precursors, the simplicity of the method, and its environmental friendliness make it attractive for further implementation in the industry.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"6 1","pages":"127620S - 127620S-4"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139234847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ying Qin, Guoqing Hu, Tengfei Wu, Guangwei Chen, Zhehai Zhou, Li Chen, Pengyu Yan, Yue Zhao, Xiaochun Liao, Hetian Li
A single-cavity triple-comb all-fiber laser is proposed by wavelength/polarization multiplexing. A variable optical attenuator is introduced to equalize the 1530-nm and 1550-nm gain profile of erbium-doped fiber for dual-wavelength pulses. Their repetition rate difference reach kHz level. Meanwhile, by further adjusting the intracavity polarization state, polarization-multiplexed dual-comb pulses with tens-of-Hz repetition rate difference in the 1550-nm gain region are obtained. The more than one-order-of-magnitude difference between the maximum and minimum repetition frequency difference and qualified passive mutual coherence of triple-frequency pulses is highlighted. These results indicate a highly potential triple-comb source for multiple-comb metrology such as triple-comb ranging and frequency measurement and so on.
{"title":"The generation of single-cavity triple-comb pulses from a wavelength/polarization multiplexed fiber laser","authors":"Ying Qin, Guoqing Hu, Tengfei Wu, Guangwei Chen, Zhehai Zhou, Li Chen, Pengyu Yan, Yue Zhao, Xiaochun Liao, Hetian Li","doi":"10.1117/12.2687275","DOIUrl":"https://doi.org/10.1117/12.2687275","url":null,"abstract":"A single-cavity triple-comb all-fiber laser is proposed by wavelength/polarization multiplexing. A variable optical attenuator is introduced to equalize the 1530-nm and 1550-nm gain profile of erbium-doped fiber for dual-wavelength pulses. Their repetition rate difference reach kHz level. Meanwhile, by further adjusting the intracavity polarization state, polarization-multiplexed dual-comb pulses with tens-of-Hz repetition rate difference in the 1550-nm gain region are obtained. The more than one-order-of-magnitude difference between the maximum and minimum repetition frequency difference and qualified passive mutual coherence of triple-frequency pulses is highlighted. These results indicate a highly potential triple-comb source for multiple-comb metrology such as triple-comb ranging and frequency measurement and so on.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"32 1","pages":"127600X - 127600X-5"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139228038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital holographic microscopy (DHM) is a typical quantitative phase imaging technique, in which the entire complex wavefront information is interferometrically encoded as a fringe pattern (so-called hologram) and then quantitatively demodulated by fringe analysis methods. Yet the off-axis digital holographic phase demodulation typically requires sufficiently high carrier spatial frequency for separating ±1-order and 0-order spectrum in the Fourier domain, limiting the space-bandwidth product (SBP) of the system. The in-line holographic configuration can realize full detector-bandwidth phase reconstruction at the cost of time resolution. In this work, we proposed a high-accuracy artifacts-free single-frame low-carrier frequency fringe demodulation scheme for the slightly off-axis digital holography, optimizing the system’s SBP effectively. This scheme acts as a method of deep-learning assisted physical model, incorporating a convolution neural network into a complete physical model by the idea of residual compensation, which enhances the imaging precision of the physical method while promises the interpretability of deep learning. The effectiveness of the proposed method is quantitatively analyzed through numerical simulation and experimentally verified by live-cells experiment. The phase recovered accuracy can be improved by one order of magnitude (the MAE up to 0.0065) compared with the traditional physical method. The live-cells experiment demonstrates the practicality of the method in biological research. Furthermore, it’s worth noting that the proposed method achieves a higher reconstruction accuracy utilizing only a small fraction of the datasets of the classical end-to-end deep learning model (without a physical model). The proposed deep learning-assisted physical model idea in this article is expected to bring more solutions for diverse computational imaging techniques.
{"title":"Deep learning-assisted slightly off-axis digital holographic quantitative phase imaging","authors":"Zhuoshi Li, C. Zuo, Qian Chen","doi":"10.1117/12.2688338","DOIUrl":"https://doi.org/10.1117/12.2688338","url":null,"abstract":"Digital holographic microscopy (DHM) is a typical quantitative phase imaging technique, in which the entire complex wavefront information is interferometrically encoded as a fringe pattern (so-called hologram) and then quantitatively demodulated by fringe analysis methods. Yet the off-axis digital holographic phase demodulation typically requires sufficiently high carrier spatial frequency for separating ±1-order and 0-order spectrum in the Fourier domain, limiting the space-bandwidth product (SBP) of the system. The in-line holographic configuration can realize full detector-bandwidth phase reconstruction at the cost of time resolution. In this work, we proposed a high-accuracy artifacts-free single-frame low-carrier frequency fringe demodulation scheme for the slightly off-axis digital holography, optimizing the system’s SBP effectively. This scheme acts as a method of deep-learning assisted physical model, incorporating a convolution neural network into a complete physical model by the idea of residual compensation, which enhances the imaging precision of the physical method while promises the interpretability of deep learning. The effectiveness of the proposed method is quantitatively analyzed through numerical simulation and experimentally verified by live-cells experiment. The phase recovered accuracy can be improved by one order of magnitude (the MAE up to 0.0065) compared with the traditional physical method. The live-cells experiment demonstrates the practicality of the method in biological research. Furthermore, it’s worth noting that the proposed method achieves a higher reconstruction accuracy utilizing only a small fraction of the datasets of the classical end-to-end deep learning model (without a physical model). The proposed deep learning-assisted physical model idea in this article is expected to bring more solutions for diverse computational imaging techniques.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"59 1","pages":"127680X - 127680X-7"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139228489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Triana M. Rahayu, Mohammadreza Omidali, Zuomin Zhao, T. Myllylä
The multiwavelength focused ultrasound (FUS)-optic technique in development aims to provide application for spatially accurate measurements of tissue properties in the focus area in real-time. But setting up such a system is quite challenging due to several factors, for instance the integration of different optical sources, positioning of the optical and acoustic beams on the phantom, and synchronization. In this presentation, we present first steps towards designing a multiwavelength FUS-optic system that measures wavelength dependent changes in the focus area. As a test substance, we used intralipid solution, milk, and the mixture with different levels of concentration. The expected signal peak heights of tagged photons intensities of different wavelengths are partly dependent on the concentration due to the wavelength-dependent optical absorbance. Furthermore, detected FUS modulated amplitudes are in relation with the concentration of sample in focus area. The aim of this study is to characterize the relationship between FUS-optic signal peak heights and the different levels of sample concentration at different wavelengths.
{"title":"Multiwavelength focused ultrasound-optics system for measuring concentration changes in the focused area","authors":"Triana M. Rahayu, Mohammadreza Omidali, Zuomin Zhao, T. Myllylä","doi":"10.1117/12.2687681","DOIUrl":"https://doi.org/10.1117/12.2687681","url":null,"abstract":"The multiwavelength focused ultrasound (FUS)-optic technique in development aims to provide application for spatially accurate measurements of tissue properties in the focus area in real-time. But setting up such a system is quite challenging due to several factors, for instance the integration of different optical sources, positioning of the optical and acoustic beams on the phantom, and synchronization. In this presentation, we present first steps towards designing a multiwavelength FUS-optic system that measures wavelength dependent changes in the focus area. As a test substance, we used intralipid solution, milk, and the mixture with different levels of concentration. The expected signal peak heights of tagged photons intensities of different wavelengths are partly dependent on the concentration due to the wavelength-dependent optical absorbance. Furthermore, detected FUS modulated amplitudes are in relation with the concentration of sample in focus area. The aim of this study is to characterize the relationship between FUS-optic signal peak heights and the different levels of sample concentration at different wavelengths.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"21 1","pages":"1277018 - 1277018-3"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139228764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Detecting Alzheimer’s disease presents considerable challenges in the medical field. Hyperspectral imaging offers a promising approach to identifying the disease by analyzing spectral information from the diseased retina. This study utilized 3,256 ophthalmoscopic images from 137 patients and applied hyperspectral imaging technology to capture spectral data from specific regions within these images. Deep learning models, including ResNet50, Inception v3, GoogLeNet, and EfficientNet, were introduced and evaluated for lesion detection accuracy. In the training phase, these artificial neural networks showed varying accuracies in lesion detection using both original and hyperspectral images. For instance, ResNet50 achieved 80% accuracy with original images and 84% with hyperspectral images, while Inception v3 consistently achieved 80% accuracy with both types of images. GoogLeNet demonstrated 81% accuracy with original images, improving to 83% with hyperspectral images, and EfficientNet recorded accuracies of 80% for original images and 82% for hyperspectral images. The combination of hyperspectral imaging and deep learning models shows promise in enhancing Alzheimer’s disease detection through ophthalmoscopic image analysis, with hyperspectral images exhibiting higher efficacy compared to original images.
{"title":"Grade classification of Alzheimer's disease using hyperspectral ophthalmoscope images","authors":"H. Nguyen, Y. Tsao, Songcun Lu, Hsiang-Chen Wang","doi":"10.1117/12.2688532","DOIUrl":"https://doi.org/10.1117/12.2688532","url":null,"abstract":"Detecting Alzheimer’s disease presents considerable challenges in the medical field. Hyperspectral imaging offers a promising approach to identifying the disease by analyzing spectral information from the diseased retina. This study utilized 3,256 ophthalmoscopic images from 137 patients and applied hyperspectral imaging technology to capture spectral data from specific regions within these images. Deep learning models, including ResNet50, Inception v3, GoogLeNet, and EfficientNet, were introduced and evaluated for lesion detection accuracy. In the training phase, these artificial neural networks showed varying accuracies in lesion detection using both original and hyperspectral images. For instance, ResNet50 achieved 80% accuracy with original images and 84% with hyperspectral images, while Inception v3 consistently achieved 80% accuracy with both types of images. GoogLeNet demonstrated 81% accuracy with original images, improving to 83% with hyperspectral images, and EfficientNet recorded accuracies of 80% for original images and 82% for hyperspectral images. The combination of hyperspectral imaging and deep learning models shows promise in enhancing Alzheimer’s disease detection through ophthalmoscopic image analysis, with hyperspectral images exhibiting higher efficacy compared to original images.","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"1 1","pages":"1276707 - 1276707-10"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139229020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Through this paper, we describe the method leading to the estimation of the uncertainty. We aim to give an estimation of the uncertainty on the frequency peak by Brillouin Scattering Stimulation. It corresponds to the speed of phonons inside a material excited by a 532nm wavelength laser. The guideline follows the Guide to the Expression of Uncertainty in Measurement and its estimation is of 0.26% on the Brillouin frequency peak at 15.70 GHz for polymethyl methacrylate (PMMA).
{"title":"Uncertainty on Brillouin scattering measurements on bulk materials using a power laser","authors":"Patrice Salzenstein, Thomas Y. Wu","doi":"10.1117/12.2689285","DOIUrl":"https://doi.org/10.1117/12.2689285","url":null,"abstract":"Through this paper, we describe the method leading to the estimation of the uncertainty. We aim to give an estimation of the uncertainty on the frequency peak by Brillouin Scattering Stimulation. It corresponds to the speed of phonons inside a material excited by a 532nm wavelength laser. The guideline follows the Guide to the Expression of Uncertainty in Measurement and its estimation is of 0.26% on the Brillouin frequency peak at 15.70 GHz for polymethyl methacrylate (PMMA).","PeriodicalId":149506,"journal":{"name":"SPIE/COS Photonics Asia","volume":"22 1","pages":"127600M - 127600M-6"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139232491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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