Efforts to mitigate the COVID-19 crisis revealed that fast,accurate,and scalable testing is crucial for curbing the current impact and that of future pandemics.We propose an optical method for directly imaging unlabel...Efforts to mitigate the COVID-19 crisis revealed that fast,accurate,and scalable testing is crucial for curbing the current impact and that of future pandemics.We propose an optical method for directly imaging unlabeled viral particles and using deep learning for detection and classification.An ultrasensitive interferometric method was used to image four virus types with nanoscale optical path-length sensitivity.Pairing these data with fluorescence images for ground truth,we trained semantic segmentation models based on U-Net,a particular type of convolutional neural network.The trained network was applied to classify the viruses from the interferometric images only,containing simultaneously SARS-CoV-2,H1N1(influenza-A virus),HAdV(adenovirus),and ZIKV(Zika virus).Remarkably,due to the nanoscale sensitivity in the input data,the neural network was able to identify SARS-CoV-2 vs.the other viruses with 96%accuracy.The inference time for each image is 60 ms,on a common graphic-processing unit.This approach of directly imaging unlabeled viral particles may provide an extremely fast test,of less than a minute per patient.As the imaging instrument operates on regular glass slides,we envision this method as potentially testing on patient breath condensates.The necessary high throughput can be achieved by translating concepts from digital pathology,where a microscope can scan hundreds of slides automatically.展开更多
Recycling wastewater is becoming more common as communities around the world try to better control their water resources against an increased frequency of either prolonged droughts or intense flooding. For communities...Recycling wastewater is becoming more common as communities around the world try to better control their water resources against an increased frequency of either prolonged droughts or intense flooding. For communities in coastal areas, wastewaters may contain elevated levels of bromide（Br^-） and iodide（I^-） from seawater intrusion or high mineral content of source waters. Disinfection of such wastewater is mandatory to prevent the spread of pathogens, however little is known about the toxicity of wastewater after disinfection in the presence of Br^-and I^-. In this study we compared the induction of chronic cytotoxicity in mammalian cells in samples of municipal secondary wastewater effluent amended with elevated levels of Br^-/I^-after disinfection by chlorine, chloramines or ozone to identify which disinfection process generated wastewater with the lowest level of adverse biological response. Chlorination increased mammalian cell cytotoxicity by 5times as compared to non-disinfected controls. Chloramination produced disinfected wastewater that expressed 6.3 times more cytotoxicity than the non-disinfected controls and was 1.3 times more cytotoxic than the chlorinated samples. Ozonation produced wastewater with cytotoxicity comparable to the non-disinfected controls and was at least 4times less cytotoxic than the chlorine disinfected wastewaters. These results indicate that compared to chlorination and chloramination, ozonation of wastewater with high Br^-/Ilevels yielded the lowest mammalian cell cytotoxicity, suggesting its potential as a more favorable method to disinfect wastewater with minimizing the biological toxicity in mind.展开更多
基金This research is supported by National Institute of Biomedical Imaging and Bioengineering(NIBIB)supplemental grant#3R01 CA238191-02S1,National Institutes of Health(R01GM129709)National Science Foundation(0939511,1450962,1353368)(awarded to G.P.)+3 种基金EPA/USDA 2017-39591-27313(awarded to T.H.N.)National Science Foundation NSF-DMR 2004719(awarded to H.J.K.)R.B.and E.V.acknowledge the support of NSF Rapid Response Research(RAPID)grant(Award 2028431)the support of Jump Applied Research through Community Health through Engineering and Simulation(ARCHES)endowment through the Health Care Engineering Systems Center at UIUC.
文摘Efforts to mitigate the COVID-19 crisis revealed that fast,accurate,and scalable testing is crucial for curbing the current impact and that of future pandemics.We propose an optical method for directly imaging unlabeled viral particles and using deep learning for detection and classification.An ultrasensitive interferometric method was used to image four virus types with nanoscale optical path-length sensitivity.Pairing these data with fluorescence images for ground truth,we trained semantic segmentation models based on U-Net,a particular type of convolutional neural network.The trained network was applied to classify the viruses from the interferometric images only,containing simultaneously SARS-CoV-2,H1N1(influenza-A virus),HAdV(adenovirus),and ZIKV(Zika virus).Remarkably,due to the nanoscale sensitivity in the input data,the neural network was able to identify SARS-CoV-2 vs.the other viruses with 96%accuracy.The inference time for each image is 60 ms,on a common graphic-processing unit.This approach of directly imaging unlabeled viral particles may provide an extremely fast test,of less than a minute per patient.As the imaging instrument operates on regular glass slides,we envision this method as potentially testing on patient breath condensates.The necessary high throughput can be achieved by translating concepts from digital pathology,where a microscope can scan hundreds of slides automatically.
基金partially supported by grant RD83582201-0 from the U.S.Environmental Protection Agency (EPA)a USDA grant 2017-68007-26307
文摘Recycling wastewater is becoming more common as communities around the world try to better control their water resources against an increased frequency of either prolonged droughts or intense flooding. For communities in coastal areas, wastewaters may contain elevated levels of bromide（Br^-） and iodide（I^-） from seawater intrusion or high mineral content of source waters. Disinfection of such wastewater is mandatory to prevent the spread of pathogens, however little is known about the toxicity of wastewater after disinfection in the presence of Br^-and I^-. In this study we compared the induction of chronic cytotoxicity in mammalian cells in samples of municipal secondary wastewater effluent amended with elevated levels of Br^-/I^-after disinfection by chlorine, chloramines or ozone to identify which disinfection process generated wastewater with the lowest level of adverse biological response. Chlorination increased mammalian cell cytotoxicity by 5times as compared to non-disinfected controls. Chloramination produced disinfected wastewater that expressed 6.3 times more cytotoxicity than the non-disinfected controls and was 1.3 times more cytotoxic than the chlorinated samples. Ozonation produced wastewater with cytotoxicity comparable to the non-disinfected controls and was at least 4times less cytotoxic than the chlorine disinfected wastewaters. These results indicate that compared to chlorination and chloramination, ozonation of wastewater with high Br^-/Ilevels yielded the lowest mammalian cell cytotoxicity, suggesting its potential as a more favorable method to disinfect wastewater with minimizing the biological toxicity in mind.
