Cellular membranes function as permeability barriers that separate cells from the external
environment or partition cells into distinct compartments. These membranes are lipid …

The ongoing SARS-CoV-2 pandemic highlights the importance of materials science in
providing tools and technologies for antiviral research and treatment development. In this …

Language models have recently emerged as a powerful machine-learning approach for
distilling information from massive protein sequence databases. From readily available …

Super-resolution microscopy techniques, and specifically single-molecule localization
microscopy (SMLM), are approaching nanometer resolution inside cells and thus have great …

Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS)
coronaviruses (CoVs) are zoonotic pathogens with high fatality rates and pandemic …

Cryo-electron microscopy is a popular method for the determination of protein structures;
however, identifying a sufficient number of particles for analysis can take months of manual …

Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

We have developed new open-source software called cis TEM (computational imaging
system for transmission electron microscopy) for the processing of data for high-resolution …

This review highlights recent efforts on applying electron microscopy (EM) to soft (including
biological) nanomaterials. We will show how developments of both the hardware and …

Super-resolution techniques have begun to transform biological and biomedical research by
allowing researchers to observe structures well below the classic diffraction limit of light …