A. Bertozzi

Impact of social distancing during COVID-19 pandemic on crime in Los Angeles and Indianapolis

Journal of Criminal Justice · 2020 · 442 citations

Governments have implemented social distancing measures to address the ongoing COVID-19 pandemic. The measures include instructions that individuals maintain social distance when in public, school closures, limitations on gatherings and business operations, and instructions to remain at home. Social distancing may have an impact on the volume and distribution of crime. Crimes such as residential burglary may decrease as a byproduct of increased guardianship over personal space and property. Crim…

Suspendable Hydrogel Nanovials for Massively Parallel Single-Cell Functional Analysis and Sorting

ACS Nano · 2022 · 94 citations

Techniques to analyze and sort single cells based on functional outputs, such as secreted products, have the potential to transform our understanding of cellular biology as well as accelerate the development of next-generation cell and antibody therapies. However, secreted molecules rapidly diffuse away from cells, and analysis of these products requires specialized equipment and expertise to compartmentalize individual cells and capture their secretions. Herein, we describe methods to fabricate…

Monodisperse drops templated by 3D-structured microparticles

Science Advances · 2020 · 39 citations

The ability to create uniform subnanoliter compartments using microfluidic control has enabled new approaches for analysis of single cells and molecules. However, specialized instruments or expertise has been required, slowing the adoption of these cutting-edge applications. Here, we show that three dimensional-structured microparticles with sculpted surface chemistries template uniformly sized aqueous drops when simply mixed with two immiscible fluid phases. In contrast to traditional emulsions…

Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization

Journal of Imaging · 2021 · 6 citations

Analyzing and understanding the movement of the mitral valve is of vital importance in cardiology, as the treatment and prevention of several serious heart diseases depend on it. Unfortunately, large amounts of noise as well as a highly varying image quality make the automatic tracking and segmentation of the mitral valve in two-dimensional echocardiographic videos challenging. In this paper, we present a fully automatic and unsupervised method for segmentation of the mitral valve in two-dimensi…

A comparative study of dynamic models for gravity-driven particle-laden flows

Applied Mathematics Letters · 2025-02-05 · 3 citations