On-chip mixing of cancer cells and drug using LED enabled 2D opto-wetting droplet platforms.

Droplets of microliter size serve as miniaturized reaction chambers for practical lab on a chip (LoC) applications. The transportation and coalescence of droplets are indispensable for realizing microfluidic mixing. Light can be used as an effective tool for droplet manipulation.

Microfluidic Protein Imaging Platform: Study of Tau Protein Aggregation and Alzheimer's Drug Response.

Tau protein aggregation is identified as one of the key phenomena associated with the onset and progression of Alzheimer's disease. In the present study, we performed on-chip confocal imaging of tau protein aggregation and tau-drug interactions using a spiral-shaped passive micromixing platform. Numerical simulations and experiments were performed in order to validate the performance of the micromixer design.

Intracranial pressure-based validation and analysis of traumatic brain injury using a new three-dimensional finite element human head model.

Traumatic brain injuries are life-threatening injuries that can lead to long-term incapacitation and death. Over the years, numerous finite element human head models have been developed to understand the injury mechanisms of traumatic brain injuries. Many of these models are erroneous and used ellipsoidal or spherical geometries to represent brain.

Paper-based microfluidic device for diagnosis of osteoporosis markers.

Background: Development of cost-effective platforms for identification of biomarkers is of paramount importance in low-income settings. The present work focuses on the development of a microfluidic paper-based analytical device (μPADs) for the diagnosis of osteoporosis by measuring three important bone biomarkers - calcium, alkaline phosphatase and vitamin D.

Methods: Antibody-based detection is realized in μPAD reservoirs based on principle of colorimetric sensing, where μPAD images are captured using a smartphone.

Characterization and separation of Cryptosporidium and Giardia cells using on-chip dielectrophoresis.

Dielectrophoresis (DEP) has been shown to have significant potential for the characterization of cells and could become an efficient tool for rapid identification and assessment of microorganisms. The present work is focused on the trapping, characterization, and separation of two species of Cryptosporidium (C. parvum and C.

Colloidal particle deposition from electrokinetic flow in a microfluidic channel.

This study reports a theoretical and experimental study on the irreversible deposition of colloidal particles from electrokinetic microfluidic flow. The electrokinetic particle transport model presented in this study is based on the stochastic Langevin equation, incorporating the electrical, hydrodynamic, Derjaguin-Landau-Verwey-Overbeek colloidal interactions and random Brownian motion of colloidal particles. Brownian dynamics simulation is used to compute the particle deposition in terms of the surface coverage.