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Incorporating artificial intelligence in portable infrared thermal imaging for the diagnosis and staging of nonalcoholic fatty liver disease. 将人工智能纳入便携式红外热成像，用于非酒精性脂肪肝的诊断和分期。
Journal of biophotonics Pub Date : 2024-08-06 DOI: 10.1002/jbio.202400189
Yana Davidov, Rafael Y Brzezinski, Monica-Inda Kaufmann, Mariya Likhter, Tammy Hod, Orit Pappo, Yair Zimmer, Zehava Ovadia-Blechman, Neta Rabin, Adi Barlev, Orli Berman, Ziv Ben Ari, Oshrit Hoffer
{"title":"Incorporating artificial intelligence in portable infrared thermal imaging for the diagnosis and staging of nonalcoholic fatty liver disease.","authors":"Yana Davidov, Rafael Y Brzezinski, Monica-Inda Kaufmann, Mariya Likhter, Tammy Hod, Orit Pappo, Yair Zimmer, Zehava Ovadia-Blechman, Neta Rabin, Adi Barlev, Orli Berman, Ziv Ben Ari, Oshrit Hoffer","doi":"10.1002/jbio.202400189","DOIUrl":"https://doi.org/10.1002/jbio.202400189","url":null,"abstract":"<p><p>Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is one of the most prevalent chronic liver diseases worldwide. Thermal imaging combined with advanced image-processing and machine learning analysis accurately classified disease status in a study on mice; this study aimed to develop this tool for humans. This prospective study included 46 patients who underwent liver biopsy. Liver thermal imaging was performed on the same day as liver biopsy. We developed an image-processing algorithm that measured the relative spatial thermal variation across the skin covering the liver. The texture parameters obtained from the thermal images were input into the machine learning algorithm. Patients were diagnosed with MASLD and stratified according to nonalcoholic fatty liver disease activity score (NAS) and fibrosis stage using the METAVIR score. Twenty-one of 46 patients were diagnosed with MASLD. Using thermal imaging followed by processing, detection accuracy for patients with NAS >4 was 0.72.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899249","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}
引用次数: 0
Analysis of image formation in optical palpation. 光学触诊图像形成分析。
Journal of biophotonics Pub Date : 2024-07-30 DOI: 10.1002/jbio.202400180
R Jones, Q Fang, B F Kennedy
{"title":"Analysis of image formation in optical palpation.","authors":"R Jones, Q Fang, B F Kennedy","doi":"10.1002/jbio.202400180","DOIUrl":"https://doi.org/10.1002/jbio.202400180","url":null,"abstract":"<p><p>Optical palpation is an emerging elastography technique that generates two-dimensional images of mechanical stress at the tissue surface, with clinical applications such as intraoperative cancer detection and scar assessment. It has been implemented using various imaging systems, however, an analysis of how deformation of the sample and layer influences image formation has not been performed. Here, an analysis framework is presented, which assesses performance independently of the imaging system used. Optical palpation of varying samples and layers is simulated using finite element analysis and validated with experiments on silicone phantoms, providing a characterization of detectability, feature resolution, and contrast ratio. Using our framework, we demonstrate that computational optical palpation, which incorporates realistic assumptions of layer deformation, improves the feature resolution up to a factor of four. This framework can guide the development of optical palpation and aid in the selection of appropriate imaging system and layer properties for a given application.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141857487","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}
引用次数: 0
Delineation of gastrointestinal tumors biopsies using a fluorescence lifetime imaging optical fiber probe. 利用荧光寿命成像光纤探针划分胃肠道肿瘤活检组织。
Journal of biophotonics Pub Date : 2024-07-16 DOI: 10.1002/jbio.202400122
D Suraci, E Baria, L Tirloni, J L Lagarto, S Buccianti, C Agostini, S Pillozzi, L Antonuzzo, A Taddei, R Cicchi
{"title":"Delineation of gastrointestinal tumors biopsies using a fluorescence lifetime imaging optical fiber probe.","authors":"D Suraci, E Baria, L Tirloni, J L Lagarto, S Buccianti, C Agostini, S Pillozzi, L Antonuzzo, A Taddei, R Cicchi","doi":"10.1002/jbio.202400122","DOIUrl":"https://doi.org/10.1002/jbio.202400122","url":null,"abstract":"<p><p>Autofluorescence spectroscopy has emerged in recent years as a powerful tool to report label-free contrast between normal and diseased tissues, both in vivo and ex-vivo. We report the application of an instrument employing an optical fiber probe and capable of performing real-time autofluorescence lifetime imaging at a macroscopic scale, under bright background conditions. We validate and demonstrate the practicality of this technology to discriminate healthy against neoplastic tissue in freshly excised tumor biopsies. The capability of delineating tumor margins through processing the fluorescence decays in the phasors domain was demonstrated on four different types of cancer, highlighting the broad range of potential clinical applications for the proposed approach. The presented results suggest that our autofluorescence lifetime imaging probe, together with phasor analysis, can offer a real-time tool to observe lifetime contrast on tissues and, thus, is a suitable candidate for improving in situ tissue diagnostics during surgery.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141629554","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}
引用次数: 0
2nd Spring Biophotonics Conference in Porto. 波尔图第二届春季生物光子学会议。
Journal of biophotonics Pub Date : 2024-05-21 DOI: 10.1002/jbio.202480001
Luís M Oliveira, Igor Meglinski, Israel Gannot, Valery V Tuchin
{"title":"2nd Spring Biophotonics Conference in Porto.","authors":"Luís M Oliveira, Igor Meglinski, Israel Gannot, Valery V Tuchin","doi":"10.1002/jbio.202480001","DOIUrl":"https://doi.org/10.1002/jbio.202480001","url":null,"abstract":"","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141077486","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}
引用次数: 0
Optical method supported by machine learning for dynamics of C-reactive protein concentrations changes detection in biological matrix samples. 机器学习支持的光学方法，用于动态检测生物基质样本中 C 反应蛋白浓度的变化。
Journal of biophotonics Pub Date : 2024-03-20 DOI: 10.1002/jbio.202300523
Patryk Sokołowski, Kacper Cierpiak, Małgorzata Szczerska, Maciej Wróbel, Aneta Łuczkiewicz, Sylwia Fudala-Książek, Paweł Wityk
{"title":"Optical method supported by machine learning for dynamics of C-reactive protein concentrations changes detection in biological matrix samples.","authors":"Patryk Sokołowski, Kacper Cierpiak, Małgorzata Szczerska, Maciej Wróbel, Aneta Łuczkiewicz, Sylwia Fudala-Książek, Paweł Wityk","doi":"10.1002/jbio.202300523","DOIUrl":"https://doi.org/10.1002/jbio.202300523","url":null,"abstract":"<p><p>In this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern, such as hospitals, schools, and so on. The proposed spectroscopy method supported with machine learning for real-time detection of infectious agents will eliminate the need for time-consuming processes, which contribute to reducing costs. The spectra in range 220-750 nm were used for the study. We achieve accuracy of our prediction model up to 68% with using only absorption spectrophotometer and machine learning. The use of such a set makes the method universal, due to the possibility of using many different detectors.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140178321","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}
引用次数: 0
Influence of optical clearing agents on the scattering properties of human nail bed and blood microrheological properties: In vivo and in vitro study. 光学清除剂对人体甲床散射特性和血液微流变特性的影响：体内和体外研究。
Journal of biophotonics Pub Date : 2024-03-10 DOI: 10.1002/jbio.202300524
P A Moldon, P B Ermolinskiy, A E Lugovtsov, P A Timoshina, E N Lazareva, Yu I Surkov, Y I Gurfinkel, V V Tuchin, A V Priezzhev
{"title":"Influence of optical clearing agents on the scattering properties of human nail bed and blood microrheological properties: In vivo and in vitro study.","authors":"P A Moldon, P B Ermolinskiy, A E Lugovtsov, P A Timoshina, E N Lazareva, Yu I Surkov, Y I Gurfinkel, V V Tuchin, A V Priezzhev","doi":"10.1002/jbio.202300524","DOIUrl":"https://doi.org/10.1002/jbio.202300524","url":null,"abstract":"<p><p>Optical clearing agents (OCAs) are substances that temporarily modify tissue's optical properties, enabling better imaging and light penetration. This study aimed to assess the impact of OCAs on the nail bed and blood using in vivo and in vitro optical methods. In the in vivo part, OCAs were applied to the nail bed, and optical coherence tomography and optical digital capillaroscopy were used to evaluate their effects on optical clearing and capillary blood flow, respectively. In the in vitro part, the collected blood samples were incubated with the OCA and blood aggregation properties were estimated using diffuse light scattering techniques. The results indicate that OCAs significantly influence the optical properties of the nail bed and blood microrheology. These findings suggest that OCAs hold promise for improving optical imaging and diagnostics, particularly for nail bed applications, and can modify blood microrheology.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140095422","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}
引用次数: 0
Analysis of the experimental absorption spectrum of the rabbit lung and identification of its components. 分析兔肺的实验吸收光谱并确定其成分。
Journal of biophotonics Pub Date : 2024-03-07 DOI: 10.1002/jbio.202300494
Maria R Pinheiro, Valery V Tuchin, Luís M Oliveira
{"title":"Analysis of the experimental absorption spectrum of the rabbit lung and identification of its components.","authors":"Maria R Pinheiro, Valery V Tuchin, Luís M Oliveira","doi":"10.1002/jbio.202300494","DOIUrl":"https://doi.org/10.1002/jbio.202300494","url":null,"abstract":"<p><p>The broadband absorption coefficient spectrum of the rabbit lung presents some particular characteristics that allow the identification of the chromophores in this tissue. By performing a weighted combination of the absorption spectra of water, hemoglobin, DNA, proteins and the pigments melanin and lipofuscin, it was possible to obtain a good match to the experimental absorption spectrum of the lung. Such reconstruction provided reasonable information about the contents of the tissue components in the lung tissue, and allowed to identify a similar accumulation of melanin and lipofuscin.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140061609","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}
引用次数: 0
Optimized reconstruction of the absorption spectra of kidney tissues from the spectra of tissue components using the least squares method. 利用最小二乘法从组织成分的光谱中优化重建肾脏组织的吸收光谱。
Journal of biophotonics Pub Date : 2024-02-06 DOI: 10.1002/jbio.202300466
Maria R Pinheiro, Luís E Fernandes, Isa C Carneiro, Sónia D Carvalho, Rui M Henrique, Valery V Tuchin, Hélder P Oliveira, Luís M Oliveira
{"title":"Optimized reconstruction of the absorption spectra of kidney tissues from the spectra of tissue components using the least squares method.","authors":"Maria R Pinheiro, Luís E Fernandes, Isa C Carneiro, Sónia D Carvalho, Rui M Henrique, Valery V Tuchin, Hélder P Oliveira, Luís M Oliveira","doi":"10.1002/jbio.202300466","DOIUrl":"https://doi.org/10.1002/jbio.202300466","url":null,"abstract":"<p><p>With the objective of developing new methods to acquire diagnostic information, the reconstruction of the broadband absorption coefficient spectra (μ<sub>a</sub> [λ]) of healthy and chromophobe renal cell carcinoma kidney tissues was performed. By performing a weighted sum of the absorption spectra of proteins, DNA, oxygenated, and deoxygenated hemoglobin, lipids, water, melanin, and lipofuscin, it was possible to obtain a good match of the experimental μ<sub>a</sub> (λ) of both kidney conditions. The weights used in those reconstructions were estimated using the least squares method, and assuming a total water content of 77% in both kidney tissues, it was possible to calculate the concentrations of the other tissue components. It has been shown that with the development of cancer, the concentrations of proteins, DNA, oxygenated hemoglobin, lipids, and lipofuscin increase, and the concentration of melanin decreases. Future studies based on minimally invasive spectral measurements will allow cancer diagnosis using the proposed approach.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139693674","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}
引用次数: 0
Smartphone-based detection of COVID-19 and associated pneumonia using thermal imaging and a transfer learning algorithm. 利用热成像和迁移学习算法，基于智能手机检测 COVID-19 和相关肺炎。
Journal of biophotonics Pub Date : 2024-01-22 DOI: 10.1002/jbio.202300486
Oshrit Hoffer, Rafael Y Brzezinski, Adam Ganim, Perry Shalom, Zehava Ovadia-Blechman, Lital Ben-Baruch, Nir Lewis, Racheli Peled, Carmi Shimon, Nili Naftali-Shani, Eyal Katz, Yair Zimmer, Neta Rabin
{"title":"Smartphone-based detection of COVID-19 and associated pneumonia using thermal imaging and a transfer learning algorithm.","authors":"Oshrit Hoffer, Rafael Y Brzezinski, Adam Ganim, Perry Shalom, Zehava Ovadia-Blechman, Lital Ben-Baruch, Nir Lewis, Racheli Peled, Carmi Shimon, Nili Naftali-Shani, Eyal Katz, Yair Zimmer, Neta Rabin","doi":"10.1002/jbio.202300486","DOIUrl":"https://doi.org/10.1002/jbio.202300486","url":null,"abstract":"<p><p>COVID-19-related pneumonia is typically diagnosed using chest x-ray or computed tomography images. However, these techniques can only be used in hospitals. In contrast, thermal cameras are portable, inexpensive devices that can be connected to smartphones. Thus, they can be used to detect and monitor medical conditions outside hospitals. Herein, a smartphone-based application using thermal images of a human back was developed for COVID-19 detection. Image analysis using a deep learning algorithm revealed a sensitivity and specificity of 88.7% and 92.3%, respectively. The findings support the future use of noninvasive thermal imaging in primary screening for COVID-19 and associated pneumonia.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139522439","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}
引用次数: 0
Skin dehydration monitoring with optical spectroscopy allows assessment of water content in the organism: Thermal and physical loads, diuretic therapy. 利用光学光谱仪进行皮肤脱水监测可评估机体内的含水量：热负荷和物理负荷、利尿治疗。
Journal of biophotonics Pub Date : 2024-01-07 DOI: 10.1002/jbio.202300509
Denis А Davydov, Gleb S Budylin, Alexey V Baev, Daniil V Vaipan, Elena M Seredenina, Armais A Kamalov, Evgeny A Shirshin
{"title":"Skin dehydration monitoring with optical spectroscopy allows assessment of water content in the organism: Thermal and physical loads, diuretic therapy.","authors":"Denis А Davydov, Gleb S Budylin, Alexey V Baev, Daniil V Vaipan, Elena M Seredenina, Armais A Kamalov, Evgeny A Shirshin","doi":"10.1002/jbio.202300509","DOIUrl":"https://doi.org/10.1002/jbio.202300509","url":null,"abstract":"<p><p>This study investigates the relationship between body hydration levels and skin hydration using spatially resolved diffuse reflectance spectroscopy. The research involved monitoring skin dehydration and rehydration under various conditions, including thermal and physical loads on healthy volunteers, and diuretic therapy in patients with edema syndrome. Findings indicate a correlation between body mass reduction and skin hydration: a 1% loss in body mass corresponds to a 10% decrease in skin hydration. During thermal stress, water absorption at 970 nm decreased monotonically without recovery. Physical activity resulted in approximately 10% changes in skin water content within 20 min, followed by rehydration. Patients with edema syndrome exhibited the most substantial decrease in water absorption amplitude, at nearly 30%, during diuretic treatment. These results support optical spectroscopy as a non-invasive tool for assessing body hydration, with implications for developing portable hydration monitoring devices for clinical and sports applications.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139379041","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}
引用次数: 0
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