Machine learning enables comprehensive microbiome profiling from smartphone images
Smartphone fluorescence microscope can detect viruses at single copy level
Emulsion LAMP with light scattering enables rapid detection of microRNA
Smartphone-based microalgae monitoring platform using machine learning
Direct detection of airborne micro/nanoplastics
Smartphone based blood brain barrier (BBB) on a chip can evaluate toxicants and Alzheimer drugs| RECENT NEWS:
Seung-Ju is now a tenure-track assistant professor at Chungbuk National University. Our PFAS work was featured in Tech Launch Arizona. Our soil microbiome profiling was selected as a featured article of Applied Physics Reviews and highlighted in Scilight. Our air pollution detection was selected as a featured article of Applied Physics Reviews and highlighted in Scilight. See News for details. |
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