Multi-wavelength multi-direction laser light scattering for cell characterization using machine learning-based methods.

Cell identification and analysis play a crucial role in many biology- and health-related applications. The internal and surface structures of a cell are complex and many of the features are sub-micron in scale. Well-resolved images of these features cannot be obtained using optical microscopy.

Integration of light scattering with machine learning for label free cell detection.

Light scattering has been used for label-free cell detection. The angular light scattering patterns from the cells are unique to them based on the cell size, nucleus size, number of mitochondria, and cell surface roughness. The patterns collected from the cells can then be classified based on different image characteristics.

Convergence between global BCG vaccination and COVID-19 pandemic.

The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has kept the whole world in tenterhooks due to its severe life-threatening infectious disease, COVID-19. The virus is distinct from its cousins, SARS-CoV and MERS-CoV in terms of severity of the infection. The obligated killing properties of the SARS-CoV-2 virus is mediated by its unique structure.

Quasi-3D Modeling and Efficient Simulation of Laminar Flows in Microfluidic Devices.

A quasi-3D model has been developed to simulate the flow in planar microfluidic systems with low Reynolds numbers. The model was developed by decomposing the flow profile along the height of a microfluidic system into a Fourier series. It was validated against the analytical solution for flow in a straight rectangular channel and the full 3D numerical COMSOL Navier-Stokes solver for flow in a T-channel.