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检索条件"任意字段=Conference on Data Science for Photonics and Biophotonics"

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RGB Laser-Illuminated Spectral Imaging: Applications in Dermatology and Endoscopy 1

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19th Nordic-Baltic conference on Biomedical Engineering and Medical Physics, NBC 2023

作者： Spigulis, Janis Kviesis-Kipge, Edgars Rubins, Uldis Oshina, Ilze Mileiko, Madars Biophotonics Laboratory Institute of Atomic Physics and Spectroscopy University of Latvia Jelgavas 3 Riga1004 Latvia

ISBN: (数字)9783031371325

ISBN: (纸本)9783031371318

Spectral imaging – acquisition of images at specific spectral intervals-is a powerful tool for optical diagnostics, providing objective quantitative data on various clinical parameters, e.g. abnormal content and distribution of chromophores in pathologic tissues. The narrower are spectral bands of imaging, the better is performance of diagnostics;from this point, triple laser line illumination has a potential to ensure excellent spectral selectivity of imaging. This study aims at development and validation of RGB laser-fiber based technologies for high performance spectral imaging of skin and mucosa malformations. Our previous knowledge on skin malformation’s spectral line imaging is extended to the whole-body spectral imaging and endoscopic narrowband imaging of mucosa. Design features of two demo-setups ensuring simultaneous illumination of the target tissues by laser lines 450 nm, 520 nm and 638 nm are discussed. Results of laboratory measurements confirm applicability of RGB laser line spectral imaging technology for improved optical diagnostics in dermatology and endoscopy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Endoscopy

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Non-invasive identification of apple sugar content based on convolutional neural networks 13

Non-invasive identification of apple sugar content based on ...

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13th International conference on Information Optics and photonics, CIOP 2022

作者： Zeng, Yijia Cai, Yuwei Liu, Hao Chen, Ruiquan Xiao, Zeyu Wu, Sihan Peng, Xiao Qu, Junle College of Physics and Optoelectronic Engineering Shenzhen Key Laboratory of Photonics and Biophotonics Key Laboratory of Optoelectronic Devices and Systems Ministry of Education and Guangdong Province Shenzhen University Shenzhen518060 China

ISBN: (纸本)9781510660632

There is a high demand of novel monitoring methods for apple content measurement, especially sugar content (SC). Two traditional methods are widely used: one obtains sugar degree of apple juicy;the other identifies SC from intact apples by using near-infrared reflectance and optical fiber sensing techniques. The former is destructive and cumbersome. The latter requires expensive spectrometer equipment. Recently, deep learning has played an important role in image recognition. Convolutional Neural Network (CNN) has stronger capabilities of feature extraction and model formulation. Here, we have applied CNN into evaluate apple SC. Firstly, images of apples with SC in the range between 10 to 15 were sampled to generate data sets, which were used for data augmentation to generate larger data sets. In image processing, semantic segmentation was used to separate the target apple image from ambient noise. In the following training process, the extracted data sets were input into CNN-based deep learning model to provide the apple SC prediction model and the accuracy of prediction yield. After that, the network structure and hyperparameters were optimized to a satisfactory level, ensuring this apple sugar degree prediction model to achieve an accuracy of about 90% on the test set of apple images. Moreover, this CNN-based apple SC model was deployed on the mobile phone for achieving high portability. In conclusion, the CNN-based prediction method of apple sugar content has the advantages of non-invasive property, low cost, fast speed, high accuracy and flexibility, indicating great potential in practical applications of fruit industry. © 2022 SPIE.

关键词： Costs

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Toxicological effect evaluation of arsenic exposure in clam Ruditapes philippinarum by using FLIM 16

Toxicological effect evaluation of arsenic exposure in clam ...

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16th International conference on photonics and Imaging in Biology and Medicine, PIBM 2023

作者： Peng, Xiao Sun, Wei Wu, Sihan Peng, Zheng Xiao, Zeyu Deng, Yifeng Guo, Jinchuan Yu, Deliang Lu, Zhen Yan, Wei Wu, Huifeng Qu, Junle College of Physics and Optoelectronic Engineering Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen University Shenzhen518060 China College of Physics and Optoelectronic Engineering Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen University Shenzhen518060 China Laoshan Laboratory Qingdao266237 China Shandong Key Laboratory of Coastal Environmental Processes YICCAS Yantai264003 China Center for Ocean Mega-Science Chinese Academy of Sciences Qingdao266071 China

ISBN: (纸本)9781510667341

Inorganic arsenic (iAs) is one of the most toxic metalloids which could accumulate in marine species, especially in clams, causing serious ecological risk. Marine clams accumulate high level of iAs in different tissues. Currently, fluorescence lifetime microscopy (FLIM) technique has provided quantitative information in biochemical diagnosis. In this study, we applied FLIM method into analyzing Hematoxylin and eosin(H&E) stained sections of arsenic exposed Ruditapes philippinarum. The clams were exposed under different concentrations of As(III) and As(V) for thirty days. Fluorescent images of the H&E stained hepatopancreas tissue were obtained with FLIM system, followed with data analysis for fluorescence lifetime values. The average fluorescence lifetime of sections in the control group was around 250 ps. The average lifetime value in the As(V) group was slightly increased to around 280-300 ps. The average lifetime value in the As(III) group achieved a significant increase to around 340 ps. These results suggested a higher extent of structural change in As(III) exposed group than As(V) group. As a result, this work has provided quantitative evaluation standard for the toxicity of marine mollusk based on fluorescence lifetime imaging method. © 2023 SPIE.

关键词： Tissue

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Monitoring the silk fabrics at different process stages by using FLIM 4

Monitoring the silk fabrics at different process stages by u...

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4th International conference on Laser, Optics, and Optoelectronic Technology, LOPET 2024

作者： Li, Changjiang Deng, Yifeng Xiao, Zeyu Wu, Zipei Zhu, Lei Lin, Junxiong Peng, Xiao Yan, Wei Qu, Junle State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University Shenzhen518060 China College of Physics and Optoelectronic Engineering Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen University Shenzhen518060 China Engineering Research Center for Eco-Dyeing and Finishing of Textiles Ministry of Education Zhejiang Sci-Tech University Hangzhou310018 China Key Laboratory of Advanced Textile Materials and Manufacturing Technology Ministry of Education Zhejiang Sci-Tech University Hangzhou310018 China College of Textile Science and Engineering International Institute of Silk Zhejiang Sci-Tech University Hangzhou310018 China School of Medical Engineering and Technology Xinjiang Medical University Urumqi810017 China

ISBN: (纸本)9781510681903

Mulberry silk fabrics are very popular due to their soft lustre, comfortable handle and smooth texture. Currently, the traditional textile testing methods are deficient to provide a fast and sensitive directional detection way or quantitative characterization data to study different process stages of the textile. Here, we used crepe de chine as silk samples for microscopy detection. Both confocal fluorescence microscopy and fluorescence lifetime imaging microscopy (FLIM) methods have been applied into observing samples at different process stages to obtain their surface morphology and fluorescence lifetime distribution. The confocal results showed that the samples had autofluorescence under excitation at several wavelengths. The fluorescent intensities of different samples from a series of process stages of the silk manufacture or the air-dried pure sericin were obtained under the 640 nm excitation, which was used in the following FLIM experiments. FLIM results showed that in undyed group, the lifetime values of the raw silk fabric were around 2400 ps. The lifetime of the sample with partial sericin left were similar to those in the raw silk fabric while the intensities were decreased. The optical properties of the dyed fabrics were similar to the undyed group, but their lifetime values were lower than those of the undyed group, suggesting that the silk fabrics had different optical properties due to the factors including the residual amount of sericin and dyeing condition. Briefly, FLIM can provide a non-destructive method for real-time quantitative investigation of the silk fabrics at different process stages, providing information for parameters such as the residual amount of sericin. © 2024 SPIE.

关键词： Fluorescence imaging

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Using FLIM to reveal acute responses to high salinity in Chlorella sp. 13

Using FLIM to reveal acute responses to high salinity in Chl...

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13th International conference on Information Optics and photonics, CIOP 2022

作者： Xiao, Zeyu Wu, Sihan Lu, Zhen Wang, Yinchu Deng, Yifeng Sun, Wei Liu, Haipeng Zeng, Yijia Wu, Huifeng Peng, Xiao Qu, Junle College of Physics and Optoelectronic Engineering Shenzhen Key Laboratory of Photonics and Biophotonics Key Laboratory of Optoelectronic Devices and Systems Ministry of Education and Guangdong Province Shenzhen University Shenzhen518060 China Yantai264003 China National Basic Science Data Center Beijing100190 China Shandong Key Laboratory of Coastal Environmental Processes YICCAS Yantai264003 China

ISBN: (纸本)9781510660632

Chlorella is a single-celled blue-green spherical microalga, whose color could change from green to red or yellowish due to the components of different types of innate pigments. Salinity change is one important environmental stressor that may influence the pigment composition of Chlorella. Therefore, it is necessary to monitor the salinity stress on Chlorella in a real-time mode. Recently, fluorescence lifetime imaging microscopy (FLIM) technology has been widely applied into biological fields, which could provide fluorescence lifetime values for quantitative analysis. Here, we used FLIM method to investigate a freshwater microalga, Chlorella sp. based on its autofluorescence. Chlorella cells were treated with a series of salinity concentrations (control sample in normal culture medium, 3S sample with an additional 3× salinity, 7S sample with an additional 7× salinity, respectively) for one day. Then images of the microalgae cells from each group were obtained with FLIM system and analyzed with SPCImage software, providing the fluorescence lifetime data. The results of fluorescence lifetime data showed that 3× salinity condition had little effect on Chlorella, which indicated that Chlorella had a strong adaptive capacity in environments close to seawater salinity. However, the significant left shift of lifetime distribution peak and decreased mean lifetime values were observed in 7S samples compared with the control. In conclusion, FLIM method has shown great potential as a fast identification method of living Chlorella sp. under high salinity conditions in a quantitative and non-invasive way. © 2022 SPIE.

关键词： Microalgae

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Experimental Evaluation of Human Skin Optical Clearing in vivo Efficiency Using Biocompatible Agents and Optical Coherence Tomography

Experimental Evaluation of Human Skin Optical Clearing in vi...

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2023 Asia Communications and photonics conference/2023 International photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Blondel, Walter Zaytsev, Sergey M. Tuchin, Valery V. Genina, Elina A. Zhu, Dan Amouroux, Marine Cnrs Cran Umr 7039 Université de Lorraine Vandoeuvre-lès-Nancy France Saratov State University Department of Optics and Biophotonics Saratov Russia Britton Chance Center for Biomedical Photonics Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350312614

The clinical use of optical methods for in vivo skin imaging is limited by skin strong scattering properties, which reduce image contrast and probing depth. The efficiency of optical methods can be improved by optical clearing (OC). However, for the use of optical clearing agents (OCAs) in a clinical setting, compliance with acceptable non-toxic concentrations is required. Optical clearing of in vivo human skin, combined with physical and chemical methods to enhance skin permeability to OCAs, was performed to determine the clearing-effectiveness of biocompatible OCAs using Line-field Confocal Optical Coherence Tomography (LC-OCT) imaging. Nine types of OCAs mixtures were used in combination with dermabrasion and sonophoresis for optical clearing protocol on three volunteers hand skin. From 3D images obtained every five minutes for 40 minutes, the intensity and contrast parameters were extracted to assess their changes during the clearing process and evaluate each OCAs mixture's clearing efficacy. LC-OCT images average intensity and contrast increased over the entire skin depth with all OCAs. The best image contrast and intensity improvement was observed using the Polyethylene Glycol, Oleic Acid and Propylene Glycol mixture. To estimate the overall completion of the clearing process after the end of the active experimental phase, the experimental data were fitted using the Biphasic Exponential Association model. The fitting results largely agreed with the experimental results. Complex OCAs featuring reduced component concentrations that meet drug regulation-established biocompatibility requirements were developed and proved to induce significant skin tissues clearing. By allowing deeper observations and higher contrast, such OCAs in combination with physical and chemical permeation enhancers may improve LC-OCT diagnostic efficacy. © 2023 IEEE.

关键词： biocompatible optical clearing agent dermabrasion human skin LC-OCT optical clearing sonophoresis

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FLIM reveals high salinity resistance in a green algae Chlorella sp. under light and dark conditions 16

FLIM reveals high salinity resistance in a green algae Chlor...

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16th International conference on photonics and Imaging in Biology and Medicine, PIBM 2023

作者： Xiao, Zeyu Deng, Yifeng Sun, Wei Wu, Sihan Zhang, Zixin Wang, Yinchu Liu, Haipeng Zeng, Yijia Lu, Zhen Peng, Xiao Wu, Huifeng Qu, Junle College of Physics and Optoelectronic Engineering Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen University Shenzhen518060 China School of Pharmacy Yantai University Yantai264005 China Yantai264003 China National Basic Science Data Center Beijing100190 China Shandong Key Laboratory of Coastal Environmental Processes YICCAS Yantai264003 China

ISBN: (纸本)9781510667341

Chlorella is a unicellular spherical green microalgae with alternate colors from blue-green to yellowish or red due to different components of innate pigments. Light and salinity are two important environmental factors in Chlorella culture. Light conditions directly affect the growth and biochemical composition of microalgae, while salinity change could influence the pigment composition of Chlorella. Therefore, it has crucial research significance to monitor the response of Chlorella to salinity stress under different light conditions. Recently, fluorescence lifetime imaging microscopy (FLIM) technology has been widely applied into biological fields, providing fluorescence lifetime values for quantitative analysis. Here, FLIM method was used to observe the autofluorescence of a freshwater microalgae, Chlorella sp. Chlorella cells were treated with a series of salinity concentrations (control sample in normal culture medium, 3S sample with an additional 3× salinity, 7S sample with an additional 7× salinity, respectively) under light (12 h/12 h light/dark cycles) or dark (0 h/24 h light/dark cycles) treatments. After one day, images of the microalgae cells from each group were obtained with FLIM system, followed by an analysis with SPCImage software. The results showed that 3× salinity condition had little effect on Chlorella in both light/dark conditions, suggesting the adaptive capacity of Chlorella to seawater salinity. By contrast, the mean fluorescence lifetime values in 7S samples under light conditions were significantly decreased compared to that of the control. Interestingly, similar lifetime values were observed in 7S samples and the control samples under dark conditions, which indicated a potential high salinity resistance induced by different light/dark conditions. In conclusion, FLIM could work as a fast evaluation method of the physiological status of living Chlorella sp. under different culture conditions in a quantitative way. © 2023 SPIE.

关键词： Microalgae

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Feasibility Analysis of Spectral Detection of Breast Cancer Based on Monte Carlo Method

Feasibility Analysis of Spectral Detection of Breast Cancer ...

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2022 IEEE International conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2022

作者： Feng, Yi Chen, Xipeng Lilge, Lothar Zhang, Kai Su, Binghua Lin, Chenyu School of Optics and Photonics Beijing Institute of Technology Beijing China University of Toronto Princess Margaret Cancer Centre Toronto Canada Beijing Institute of Technology Zhuhai China

ISBN: (数字)9781665475433

ISBN: (纸本)9781665475433

The current methods of breast cancer detection have the drawbacks of trauma to the body, high price and untruthful results. biophotonics has been extensively studied for the early screening of breast diseases in recent years. For different biological tissues, the parameters of optical properties are different, and the distribution of energy transfer within the tissues is slightly different. For the behavior of light transmission in the breast, it can be described by a random discrete optical model of biological tissue. The Monte Carlo method, also known as random sampling or statistical experiment, is to try to simulate this process. By simulating the behavior of broadband light source transmitting through the breast in 350-1300 nm band, we can find the transmission coefficient of the breast tissue for this band of wavelength, so that when screening for breast cancer in non-invasive visible band, we can draw a conclusion about whether or not the breast cancer is affected based on the difference of the transmittance. © 2022 IEEE.

关键词： Optical properties

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FLIM as an identification tool for stress responses in mussel Mytilus galloprovincialis under cadmium exposure 13

FLIM as an identification tool for stress responses in musse...

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13th International conference on Information Optics and photonics, CIOP 2022

作者： Wu, Sihan Xiao, Zeyu Lu, Zhen Sun, Wei Deng, Yifeng Chen, Ruiquan Cai, Yuwei Wu, Huifeng Peng, Xiao Qu, Junle College of Physics and Optoelectronic Engineering Shenzhen Key Laboratory of Photonics and Biophotonics Key Laboratory of Optoelectronic Devices and Systems Ministry of Education and Guangdong Province Shenzhen University Shenzhen518060 China Shandong Key Laboratory of Coastal Environmental Processes YICCAS Yantai264003 China

ISBN: (纸本)9781510660632

With the rapid development of modern industry, heavy metal pollution is becoming one of the most severe marine environmental problems among the world. Mussels are considered as suitable models to monitor heavy metal pollutions. The hematoxylin and eosin (H&E) sections of mussels could be observed with fluorescence lifetime imaging microscopy (FLIM) method, generating quantitative data of images for improved analysis with higher accuracy. In this study, we used FLIM method to investigate the fluorescence lifetime of digestive glands of adult mussels Mytilus galloprovincialis treated with two environmentally relevant concentrations (5 μg/L and 50 μg/L) of cadmium (Cd) for 14 days. After exposure, the H&E stained sections of the digestive glands were observed with FLIM system. The images were analyzed with SPCImage software, providing both the structural images with fluorescence intensity information and the pseudo-color images with fluorescence lifetime information. The fluorescence lifetime values were presented as total τ, which could be divided into τ1 (the shorter part) and τ2 (the longer part), respectively. Results showed that the τ2 values in 50 μg/L Cd treatments were significantly lower than those of the control group, suggesting that the high concentration of Cd treatment has a high impact on the digestive glands of M. galloprovincialis. The significance of the fluorescence lifetime data of mussel digestive glands induced by Cd at a high concentration has proved the sensitivity of FLIM method to distinguish the polluted mussels from the healthy individuals. In conclusion, FLIM has high potential in further applications of marine environment pollution monitoring. © 2022 SPIE.

关键词： Image analysis

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Experimental Evaluation of Human Skin Optical Clearing in vivo Efficiency Using Biocompatible Agents and Optical Coherence Tomography

Experimental Evaluation of Human Skin Optical Clearing in vi...

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Asia Communications and photonics conference and Exhibition (ACP)

作者： Walter Blondel Sergey M. Zaytsev Valery V. Tuchin Elina A. Genina Dan Zhu Marine Amouroux CNRS CRAN UMR 7039 Université de Lorraine Vandoeuvre-lès-Nancy France Department of Optics and Biophotonics Saratov State University Saratov Russia Britton Chance Center for Biomedical Photonics Huazhong University of Science and Technology Wuhan China

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