12 citations · 26 across the 7 of their papers we have counts for
7 papers
Flow Driven Oil Recovery Enhanced with Structural Disjoining Pressure
Shane Laibach, Egor Vinogradov, Jasper Stedman +5
Nanofluids have the potential to enhance oil recovery through the structural disjoining pressure, a pressure developed when nanoparticles concentrate at the three-phase contact lin…
Effect of structure-based training on 3D localization precision and quality
Armin Abdehkakha, Craig Snoeyink
This study introduces a structural-based training approach for CNN-based algorithms in single-molecule localization microscopy (SMLM) and 3D object reconstruction. We compare this…
A Simple Electrode Insulation and Channel Fabrication Technique for High-Electric Field Microfluidics
Gaurav Anand, Samira Safaripour, Jaynie Tercovich +5
A simple and robust electrode insulation technique that can withstand a voltage as high as , which is equivalent to an electric field strength of acro…
Anomalous, Dielectrophoretic Transport of Molecules in Non-Electrolytes
Gaurav Anand, Samira Safaripour, Craig Snoeyink
The electric field dielectric polarization-based separations mechanism represents a novel method for separating solutions at small length scales. An electric field gradient with a…
Localization of Ultra-dense Emitters with Neural Networks
Armin Abdehkakha, Craig Snoeyink
Single-Molecule Localization Microscopy (SMLM) has expanded our ability to visualize subcellular structures but is limited in its temporal resolution. Increasing emitter density wi…
Shape- and orientation-dependent diffusiophoresis of colloidal ellipsoids
Viet Sang Doan, Dong-Ook Kim, Craig Snoeyink +2
We present the diffusiophoresis of ellipsoidal particles induced by ionic solute gradients. Contrary to the common expectation that diffusiophoresis is shape independent, here we s…
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli +2
This paper proposes to use Fast Fourier Transformation-based U-Net (a refined fully convolutional networks) and perform image convolution in neural networks. Leveraging the Fast Fo…