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| 1 | Air quality monitoring using mobile microscopy and machine learning显示文摘Rapid,accurate and high-throughput sizing and quantification of particulate matter(PM)in air is crucial for monitoring and improving air quality.In fact,particles in air with a diameter of≤2.5μm have been classified as carcinogenic by the World Health Organization.Here we present a field-portable cost-effective platform for high-throughput quantification of particulate matter using computational lens-free microscopy and machine-learning.This platform,termed c-Air,is also integrated with a smartphone application for device control and display of results.This mobile device rapidly screens 6.5 L of air in 30 s and generates microscopic images of the aerosols in air.It provides statistics of the particle size and density distribution with a sizing accuracy of~93%.We tested this mobile platform by measuring the air quality at different indoor and outdoor environments and measurement times,and compared our results to those of an Environmental Protection Agency–approved device based on beta-attenuation monitoring,which showed strong correlation to c-Air measurements.Furthermore,we used c-Air to map the air quality around Los Angeles International Airport(LAX)over 24 h to confirm that the impact of LAX on increased PM concentration was present even at 47 km away from the airport,especially along the direction of landing flights.With its machinelearning-based computational microscopy interface,c-Air can be adaptively tailored to detect specific particles in air,for example,various types of pollen and mold and provide a cost-effective mobile solution for highly accurate and distributed sensing of air quality. | Yi-Chen Wu Ashutosh Shiledar Yi-Cheng Li Jeffrey Wong Steve Feng Xuan Chen Christine Chen Kevin Jin Saba Janamian Zhe Yang Zachary Scott Ballard Zoltán Göröcs Alborz Feizi Aydogan Ozcan | 2017 | Light(Science & Applications)2017，6，1： | 5 |
| 2 | Structure-activity studies of quinolone-penems in genetically defined strains of Escherichia coli显示文摘 | Christine CS | 1997 | Antimicrob Agents Chemother1997，41，11： | 1 |
| 3 | Serum ProteinChip profiling can identify new protein markers in the diagnosis of relapse of nasopharyngeal carcinoma显示文摘 | Cho CS Yip TTC Christine Y | 2002 | Proteomics2002，33，： | 1 |
| 4 | Complications of warfarin therapy in older adults:a review显示文摘 | Christine D Michel CS | 2010 | Int J Nurs Pract2010，11，1： | 1 |
| 5 | Structural Snapshots of Human HDAC8 ProvideInsights into the Class I His- tone Deacetylases显示文摘 | John RS Robert JS Bradley AK Clifford M Joseph DH Andy JJ Christine L Andrew A Joseph JB Ellen C Jie T Bi CS Erik V Robert W Ellen ML Douglas RD Gyorgy S Marc N Mark WK Ronald VS Duncan EM and Leslie WT | 2004 | Structure2004，12，： | 1 |
| 6 | Radioiodine therapy and Graves' Ophthalmopathy显示文摘 | James CS Matthew JS Christine CN | 2008 | J Nucl Med2008，49，6： | 1 |
| 7 | Complications of warfarin therapy in older adults: a review 显示文摘 | Christine D Michel CS | 2010 | lnt J Nurs Pract2010，11，1： | 1 |
| 8 | Postopertive induction of insulin-like growth factor binding protein-3 protelytic activity:Relation to insulin and insulin sensitivity显示文摘 | Bang P Nygren J Christine CS | 1998 | J Clin Endocrinol Metab1998，83，： | 1 |
| 9 | GEC-ESTRO recommendations for brachytherapy for head and neck squamous cell carcinomas显示文摘 | Jean-Jacques Mazeron Jean-Michel Ardiet Christine Haie-Méder Gy?rgy Kovács Peter Levendag Didier Peiffert Alfredo Polo Angels Rovirosa Vratislav Strnad | 2009 | Radiotherapy and Oncology2009，，2： | 1 |
| 10 | Serum protein chip profiling can identify new protein markers in the diagnosis of relapse of nasopharyngeal carcinoma显示文摘 | Cho CS Yip TT Christine Y | 2002 | Proteomics2002，，33： | 1 |
| 11 | Characterization of neuronal migration disorders in neocortical structures:loss or preservation of inhibitory interneurons显示文摘 | Petra Schwarz Christine CS Heiko JL | 2000 | Epilepsia2000，41，7： | 1 |
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