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":" ","pages":"e202300486"},"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}
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":" ","pages":"e202300509"},"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}
Ali Jaafar, Abbas Albarazanchi, Mohammed Jawad Kadhim, Maxim E Darvin, Tamás Váczi, Valery V Tuchin, Miklós Veres
{"title":"Impact of e-cigarette liquid on porcine lung tissue-Ex vivo confocal Raman micro-spectroscopy study.","authors":"Ali Jaafar, Abbas Albarazanchi, Mohammed Jawad Kadhim, Maxim E Darvin, Tamás Váczi, Valery V Tuchin, Miklós Veres","doi":"10.1002/jbio.202300336","DOIUrl":"10.1002/jbio.202300336","url":null,"abstract":"<p><p>Ex vivo porcine lung immersed in e-liquid was investigated in-depth using confocal Raman micro-spectroscopy to assess the e-liquid influence on the lung. It was found that lung-related Raman band intensities at 1002, 1548, 1618 and 1655 cm<sup>-1</sup> increased after first and second treatments except the surface, which was attributed to the well-known optical clearing (OC) effect due to alveoli filling with e-liquid resulting in light scattering reduction. The autofluorescence enhancement was explained by oxidative stress induced in lung during exposure to e-liquid. Moreover, e-liquid induced collagen dehydration was revealed by the I<sub>937</sub> /I<sub>926</sub> Raman band intensity ratio change. The effect was enhanced after the second treatment of the same lung tissue that indicates the possibility of multi-step OC treatment. We hypothesize that the nicotine-flavour-free e-liquids containing glycerol and propylene glycol could potentially be used in clinical protocols as OC agent for enhanced in-depth Raman-guided bronchoscopy.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202300336"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41242645","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}