MemBrain v2 enables streamlined analysis of membranes in cryo-electron tomography by providing user-friendly tools for membrane segmentation, membrane protein localization and spatial analysis, suppor...

A Kaggle challenge for particle picking in experimental cryo-electron tomography data delivered new machine learning algorithms that outperformed state-of-the-art software and provides a critical refe...

Tools for collaborativecryoET annotation.\n \n\n \n □XY slice · z = {{ depthLabel }}\n \n \n \n \n \n \n \n \n \n…

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...

Phase-contrast device could allow in-cell proteomics

Cryo-electron tomography (cryo-ET) enables the analysis of biological samples in situ, revealing the complex interplay that shapes (sub)cellular archi…

A $500M commitment to galvanize a global, open-data effort to build predictive models of the human cell.

Using the latest advances in instrumentation and computational workflows, Kelley et al. present a large-scale annotated cryo-electron tomography dataset of the model green alga, Chlamydomonas reinhard...

Particle extraction and reconstruction from OME-Zarr tilt series. - czimaginginstitute/zarr-particle-tools

The large-scale scientific effort combines frontier AI with frontier biology to accelerate discovery and solve disease.

A standardized, realistic phantom dataset consisting of ground-truth annotations for six diverse molecular species is provided as a community resource for cryo-electron-tomography algorithm benchmarki...

An implementation of Noise2Noise for cryoET data. Contribute to apeck12/denoiset development by creating an account on GitHub.

Help locate flagellar motors in three-dimensional reconstructions of bacteria.