Published in Lab on a chip
Drug testing is a vital step in the identification of the potential efficacy of any new/existing drug and/or combinations of drugs. The conventional methods of testing the efficacy of new drugs using multiwell plates are time consuming and prone to evaporation loss and manual error. Microfluidic devices with automated generation of concentration gr...
Published in Lab on a chip
Podocytes, localized in the glomerulus, are a prognostic factor of proteinuria in kidney disease and are exposed to distinct physiological stimuli from basal to apical filtration flow. Research studies on drug discovery and disease modeling for glomerulopathy have developed a glomerulus-on-a-chip and studied podocyte mechanobiology to realize alter...
Published in Lab on a chip
A silicon single-chip microfluidics system that integrates microscale fluidic channels, an analyte segmentation device, and a nozzle for electrohydrodynamic-assisted printing is designed for hyphenation with MALDI mass spectrometry (MS) imaging. A miniaturized T-junction segments analytes into monodisperse picoliter oil-isolated compartments. The p...
Published in Lab on a chip
Correction for 'Detection of airborne pathogens with single photon counting and a real-time spectrometer on microfluidics' by Ning Yang et al., Lab Chip, 2022, https://doi.org/10.1039/D2LC00934J.
Published in Lab on a chip
Single-cell RNA sequencing (scRNA-seq) has been developed for characterizing the transcriptome of cells that are rare but of biological significance. With cell barcoding and microchip technologies, a suite of high-throughput scRNA-seq protocols enable transcriptome profiling in thousands of individual cells at single-cell resolution for classifying...
Published in Lab on a chip
Caenorhabditis elegans is an important genetic model for neuroscience studies, used for analyses of how genes control connectivity, neuronal function, and behavior. To date, however, most studies of neuronal function in C. elegans are incapable of obtaining microscopy imaging with subcellular resolution and behavior analysis in the same set of anim...
Published in Lab on a chip
Rice false smut spores (RFSS), which are airborne spores caused by Ustilaginoidea virens (U. virens), not only cause severe yield loss and grain quality reduction, but also produce toxins that are harmful to humans and animals. Nucleic acid detection has become the main method for RFSS monitoring due to its high specificity and sensitivity. However...
Published in Lab on a chip
We present a novel approach for the design of capillary-driven microfluidic networks using a machine learning genetic algorithm (ML-GA). This strategy relies on a user-friendly 1D numerical tool specifically developed to generate the necessary data to train the ML-GA. This 1D model was validated using analytical results issued from a Y-shaped capil...
Published in Lab on a chip
In drop-based microfluidics, an aqueous sample is partitioned into drops using individual pump sources that drive water and oil into a drop-making device. Parallelization of drop-making devices is necessary to achieve high-throughput screening of multiple experimental conditions, especially in time-sensitive studies. Here, we present the plate-inte...
Published in Lab on a chip
Deep learning-enabled smartphone-based image processing has significant advantages in the development of point-of-care diagnostics. Conventionally, most deep-learning applications require task specific large scale expertly annotated datasets. Therefore, these algorithms are oftentimes limited only to applications that have large retrospective datas...
