activity
20202023
most citedCATCH: Characterizing and Tracking Colloids Holographically using deep neural networks

37 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.soft2023

Anomalous tumbling of colloidal ellipsoids in Poiseuille flows

Lauren E. Altman, Andrew D. Hollingsworth, David G. Grier

Shear flows cause aspherical colloidal particles to tumble so that their orientations trace out complex trajectories known as Jeffery orbits. The Jeffery orbit of a prolate ellipso…

cond-mat.soft2022★ 6 cited

Multi-angle holographic characterization of individual fractal aggregates

Rafe Abdulali, Lauren E. Altman, David G. Grier

Holographic particle characterization uses quantitative analysis of holographic microscopy data to precisely and rapidly measure the diameter and refractive index of individual col…

cond-mat.soft2020

Holographic characterization and tracking of colloidal dimers in the effective-sphere approximation

Lauren E. Altman, Rushna Quddus, Fook Chiong Cheong +1

An in-line hologram of a colloidal sphere can be analyzed with the Lorenz-Mie theory of light scattering to measure the sphere's three-dimensional position with nanometer-scale pre…

cond-mat.soft2020

Interpreting Holographic Molecular Binding Assays with Effective Medium Theory

Lauren E. Altman, David G. Grier

Holographic molecular binding assays use holographic video microscopy to directly detect molecules binding to the surfaces of micrometer-scale colloidal beads by monitoring associa…

cond-mat.soft2020★ 37 cited

CATCH: Characterizing and Tracking Colloids Holographically using deep neural networks

Lauren E. Altman, David G. Grier

In-line holographic microscopy provides an unparalleled wealth of information about the properties of colloidal dispersions. Analyzing one colloidal particle's hologram with the Lo…