most citedMachine Learning Holography for 3D Particle Field Imaging

92 citations · 157 across the 6 of their papers we have counts for

collaborators

7 papers

physics.med-ph202013 cited

Risk assessment of airborne transmission of COVID-19 by asymptomatic individuals under different practical settings

Siyao Shao, Dezhi Zhou, Ruichen He +6

The lack of quantitative risk assessment of airborne transmission of COVID-19 under practical settings leads to large uncertainties and inconsistencies in our preventive measures.…

physics.app-ph2019

Machine learning holography for measuring 3D particle size distribution

Siyao Shao, Kevin Mallery, Jiarong Hong

Particle size measurement based on digital holography with conventional algorithms are usually time-consuming and susceptible to noises associated with hologram quality and particl…

physics.flu-dyn2019

Holographic Astigmatic Particle Tracking Velocimetry

Zhou Zhou, Santosh Kumar Sankar, Kevin Mallery +2

The formation of twin images in digital inline holography (DIH) prevents the placement of the focal plane in the center of a sample volume for DIH-based particle tracking velocimet…

cs.RO20191 cited

Design and Experiments with a Robot-Driven Underwater Holographic Microscope for Low-Cost In Situ Particle Measurements

Kevin Mallery, Dario Canelon, Jiarong Hong +1

Microscopic analysis of micro particles in situ in diverse water environments is necessary for monitoring water quality and localizing contamination sources. Conventional sensors s…

physics.bio-ph2019

Microalgal swimming signatures as indicators of neutral lipids production across growth phases

Jiaqi You, Kevin Mallery, Douglas Mashek +3

Microalgae have been shown as a potential bioresource for food, biofuel, and pharmaceutical products. During the growth phases with corresponding environmental conditions, microalg…

eess.IV201992 cited

Machine Learning Holography for 3D Particle Field Imaging

Siyao Shao, Kevin Mallery, Santosh Kumar +1

We propose a new learning-based approach for 3D particle field imaging using holography. Our approach uses a U-net architecture incorporating residual connections, Swish activation…