Many computational problems possess the following three features: (1) the problem could be solved efficiently if a linear operator could be diagonalized, (2) direct diagonalization is infeasible due t...

Overview of the Leopard-EM package for 2DTM in Python

Focused ion beam (FIB)-milling has been adapted to thin frozen cells for visualization of macromolecular structures in situ with cryogenic electron microscopy. However, only a few large and abundant c...

In situ cryo-EM coupled with 2D template matching (2DTM) holds the potential to visualize the cellular structureome in context, but further developments are required to make this a reality. We describ...

Overview of the Leopard-EM package for 2DTM in Python

The physical limit in determining the atomic structure of biological molecules is radiation damage. In electron cryomicroscopy, there have been num...

Recent breakthroughs in single-particle cryogenic electron microscopy (cryo-EM) and protein structure prediction have transformed our ability to resol…

Recent breakthroughs in single-particle cryogenic electron microscopy (cryo-EM) and protein structure prediction have transformed our ability to resol…

After years of frustration, researchers learn how to sharpen molecular images with liquid helium

The physical limit in determining the atomic structure of biological molecules is radiation damage. In electron cryomicroscopy, there have been num...

A novel statistical metric for 2D template matching (2DTM), the 2DTM p-value, has been developed to improve the detection of targets in cryo-EM images under various imaging and sample conditions, particularly for smaller and aspherical targets.