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CATCH: Characterizing and Tracking Colloids Holographically Using Deep Neural Networks
American Chemical Society | 2020| -
CATCH: Characterizing and Tracking Colloids Holographically using deep neural networks
Free accessArXiv | 2020| -
Dexterous holographic trapping of dark-seeking particles with Zernike holograms
Free accessArXiv | 2022| -
Fluid dynamics: Vortex rings in a constant electric field
National licenceNature Publishing Group | 2003| -
Colloidal electroconvection in a thin horizontal cell. III. Interfacial and transient patterns on electrodes
National licenceAmerican Institute of Physics | 2012| -
Complex Dynamics of an Acoustically Levitated Fluid Droplet Captured by a Low-Order Immersed Boundary Method
Free accessArXiv | 2024| -
Machine learning enables precise holographic characterization of colloidal materials in real time
Royal Society of Chemistry | 2023| -
Interpreting Holographic Molecular Binding Assays with Effective Medium Theory
Free accessArXiv | 2020| -
Above and beyond: Holographic tracking of axial displacements in holographic optical tweezers
Free accessArXiv | 2019|
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