The emergence of machine learning techniques to help scientific research has opened new windows of opportunities for researchers and has empowered the research community with unprecedented prediction capabilities. Machine learning techniques are finding their way into the microfluidic domain helping researchers to boost their data...
Abstract "Microplastics accumulate in various aquatic organisms causing serious health issues, and have raised concerns about human health by entering our food chain. The recovery techniques for the most challenging colloidal fraction are limited, even for analytical purposes. Here we show how a hygroscopic nanocellulose network...
Abstract "Biomarker detection and bulk refractive index sensing are important across multiple industries ranging from early medical diagnosis to chemical process quality control. The bulky size, high cost, and complex architecture of existing refractive index and biomarker sensing technologies limit their use to highly skilled environments...
Abstract "The patient population suffering from pancreatic ductal adenocarcinoma (PDAC) presents, as a whole, with a high degree of molecular tumor heterogeneity. The heterogeneity of PDAC tumor composition has complicated treatment and stalled success in clinical trials. Current in vitro techniques insufficiently replicate the intricate stromal...
One of the most promising applications of microfluidics technology has been proven to be the single-cell analysis. Hardly a week goes by without a new microfluidic development for microfluidic single-cell analysis. Over the nearly past decade, the field has accelerated at a high rate and...