Mart G.F. Last

Easymode provides pretrained networks for cryo-ET segmentation, enabling efficient subtomogram averaging and cellular context analysis without per-dataset training.

The paper presents a comprehensive segmentation strategy for cryoET data using convolutional neural networks, enabling efficient analysis of large datasets and improving particle picking and template matching.

Ais provides a user-friendly, high-performance tool for cryo-electron tomography segmentation, accelerating particle picking and cellular architecture analysis.

The paper describes the design of a super-resolution fluorescence cryomicroscope for single molecule localization microscopy of cryosamples.

This paper outlines a workflow for SRcryoCLEM, demonstrating its application using Vimentin and showing how it enables targeted imaging of intracellular components in situ.

The paper investigates whether super-resolution fluorescence imaging before cryoEM affects resolution, finding no detrimental effect.

The paper investigates how support grid design in cryo-TEM affects fluorescence microscopy illumination and demonstrates improvements in super-resolution image quality through optimal grid selection.

This paper introduces a new cryogenic microscope that combines fluorescence, ion beam, and electron beam imaging to improve the targeting and fabrication of lamellae for high-resolution imaging.