Papers

MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems

This paper presents a novel machine learning framework (MIML) that enhances the precision and specificity of cell classification by integrating label-free cell images with biomechanical data, achieving a 98.3% classification accuracy.

Tailoring polyamide nanocomposites: The synergistic effects of SWCNT chirality and maleic anhydride grafting

This paper demonstrates significant improvements in the mechanical strength of polyamide nanocomposites at optimal maleic anhydride concentrations, specifically due to SWCNT chirality.

Microphysiologically engineered vessel-tumor model to investigate vascular transport dynamics of immune cells

This paper introduces a 3D vessel-tumor model to investigate immune cell transport dynamics, revealing the role of endothelial glycocalyx in T cell transport and tumor killing during cancer immunotherapy.

Deep learning-based classification of hematopoietic stem cells

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors

This paper demonstrates the use of deep learning models to reliably distinguish between HSCs and MPPs using light microscopy images, providing a rapid and effective method for cell classification without the need for markers.

Acoustofluidic vessel-on-a-chip engineering

Acoustofluidic engineering of functional vessel-on-a-chip

This paper demonstrates the use of standing surface acoustic waves to engineer functional vessel networks on-chip, improving reproducibility in vascular model fabrication and enhancing vascular research.

Maskless image guided microfluidic prototyping

Rapid prototyping of high-resolution large format microfluidic device through maskless image guided in-situ photopolymerization

This paper achieves superior repeatability and fidelity in fabricating diverse, high-resolution microfluidic devices using image-guided in-situ maskless lithography, offering an affordable and efficient solution.

Tensile deformation of CNT-PMMA composites

An atomistic study of the tensile deformation of carbon nanotube-polymethylmethacrylate composites

This paper demonstrates significant mechanical property enhancements in PMMA composites reinforced with SWCNTs and finds that double-walled CNTs provide nearly twice the tensile strength.

Molecular simulation of EV squeezing for drug loading

Coarse-grained molecular simulation of extracellular vesicle squeezing for drug loading

This paper provides design guidelines for nanochannel geometry and squeezing velocity during EV squeezing, optimizing drug loading while preventing vesicle damage.

Microfluidic droplet-assisted tumor fabrication

Microfluidic droplet-assisted fabrication of vessel-supported tumors for preclinical drug discovery

This paper demonstrates that vessel-supported tumors exhibit increased drug resistance, offering a more accurate platform for preclinical drug screening and improving drug discovery processes.

Adaptable microfluidic vessel-on-a-chip platform for investigating tumor metastatic transport in bloodstream

This paper identifies biomechanical conditions that enhance circulating tumor cell adhesion, providing insights for the development of anticancer therapies.

Respiratory droplet resuspension near surfaces: Modeling and analysis

This paper identifies conditions under which respiratory droplets detach from surfaces, informing safety practices to reduce secondary transmission of COVID-19.

Molecular dynamics simulation of the mechanical properties of CNT-polyoxymethylene composite with a reactive forcefield

This paper demonstrates significant mechanical property enhancements in SWCNT-reinforced POM composites by varying CNT diameter and volume fraction.