University of Pennsylvania – TechConnect Briefs

Machine Learning for Automated Hepatic Fat Quantification

Sagreiya H., Akhbardeh A., Durot I., Rubin D.L., University of Pennsylvania, US

Nonalcoholic fatty liver disease is a global pandemic. This study investigated whether ultrasound point shear wave elastography measurements could predict hepatic fat quantification using a machine larning (ML) algorithm trained with fat quantification on MRI. [...]

Novel silicon microdosimeter based on 3D cylindrical structures

Guardiola C., Carabe-Fernández A., Gomez F., Pellegrini G., Fleta C., Quirion D., Lozano M., University of Pennsylvania, US

A new design of a solid-state-detector based on silicon microfabrication is provided in this work in order to create a novel microdosimeter. This microdosimeter improves the performance of existing microdosimeters using three-dimensional microfabrication technology development. [...]

Mechanism and Free Energy of DNA Hybridization on Single-Walled Carbon Nanotubes Using Adaptive Biasing Force Simulations

Chien M.W., Johnson Jr. A.T.C., Johnson R.R., Pillai S., Singh S.R., Johnson Jr. A.T.C., Johnson R.R., University of Pennsylvania, US

DNA-carbon nanotube hybrids (DNA-NT) consist of single stranded DNA self-assembled to the sidewall of single-walled carbon nanotubes. DNA-NT show great promise for applications in nanotechnology, including chemical sensing and sequence-specific DNA detection. Details of the [...]

Hydrodynamically Confined Microfluidics for Single Cell Measurements

Turner K.T., Christ K.V., University of Pennsylvania, US

Microfluidics have proven to be a useful tool in cell biology as they allow for precise control of chemistry and hydrodynamic loads at the scale of single cells. Channel-based microfluidics can be difficult to employ [...]

Differentiation of Complex Vapor Mixtures Using Versatile DNA-Carbon Nanotube Chemical Sensor Arrays

Kybert N.J., Lerner M.B., Yodh J.S., Preti G., Johnson A.T.C., University of Pennsylvania, US

Vapor sensors based on functionalized carbon nanotubes (NTs) have shown great promise, with high sensitivity conferred by the reduced dimensionality and exceptional electronic properties of the NT. Critical challenges in the development of NT-based sensor [...]

Design of a nano-mechanical beam based memory element

Sahoo H.K., Uppala A., Anjur R., University of Pennsylvania, US

A cantilever beam based memory element is proposed which can trap static charge on a metal plate on the beam. The charge is tunneled to the metal plate from an electrode separated from it by [...]

A Quantitaive Method for Assessing Opportunitiutes for Academia/Industry Collaborations in Nanotechnology

Isakowitz T., University of Pennsylvania, US

The difficulty in establishing academia/industry research collaborations focused on nanotechnology stems mostly from a difference in perspectives. While most academic work focuses on science, industry’s emphasis is on applications. For example, a scientist may be [...]

High Quality Nanogap Electrodes for Electronic Transport Measurements of Single Molecules

Johnston D.E., Strachan D.R., Guiton B.S., Davies P.K., Johnson A.T., University of Pennsylvania, US

Single molecule-based electronic devices hold the potential for higher density and higher performance applications in medicine, sensing, computing and photovoltaics. Experimentally, metal-molecule-metal (MMM) junctions provide a system for measuring molecular electronic properties directly. We developed [...]

Low Temperature Electronic Properties of Electrospun PAN-Derived Carbon Nanofiber

Wang Y., Santiago-Aviles J.J., University of Pennsylvania, US

The possible sensor application of carbon nanofibers relies on the nanofibers electronic transport. This paper fabricated carbon nanofibers using electrostatic deposition and vacuum pyrolysis techniques. Scanning electron microscope (SEM) and scanning probe microscopes (SPM) images [...]

Statistical Theory for Protein Combinatorial Libraries

Kono H., Zou J., Saven J.G., University of Pennsylvania, US

Combinatorial experiments provide new ways to probe the determinants of protein folding and to identify novel folding amino acid sequences. These types of experiments, however, are complicated by both enormous conformational complexity and by large [...]