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Riggs, S.

Publications and source records attributed to Riggs, S..

2 recordsLinked to original sources

Rapid femtosecond laser trenching accelerates cryo-electron tomography lamella workflows

Transmission electron microscopy requires electron-transparent specimens, typically below 200 nm thick. For cellular and tissue samples this is typically achieved by focused ion-beam (FIB) thinning to form lamellae. Milling times scale with specimen thickness, and high-pressure-frozen specimens more than 10 m thick can take up to 2 hours per lamella. We present a pre-processing approach in which bulk material is removed by ultrashort-pulse laser ablation prior to milling, rapidly generating large trenches in vitrified grids under cryogenic conditions and leaving material to be finished by conventional milling to yield electron-transparent lamellae. Laser ablation completes in seconds (4 seconds per pattern), compared with minutes to tens of minutes for FIB trench milling, and introduces negligible damage to the final lamellae. By replacing the most time-intensive, contamination-sensitive bulk-removal steps with seconds-long laser trenching, this open-source approach reduces time-to-lamellae, increasing throughput and preserves compatibility with standard cryo-FIB/SEM polishing and cryo-ET data-collection pipelines.

biophysics↗

EMinsight: a tool to capture cryoEM microscope configuration and experimental outcomes for analysis and deposition.

The widespread adoption of cryoEM technologies for structural biology has pushed the discipline to new frontiers. A significant worldwide effort has refined the Single Particle Analysis (SPA) workflow into a reasonably standardised procedure. Significant investment of development time have been made particularly in sample preparation, microscope data collection efficiency, pipeline analyses and data archiving. The widespread adoption of specific commercial microscopes, software for controlling them and best practises developed at national facilities has also begun to establish a degree of standardisation to data structures coming from the SPA workflow. There is opportunity to capitalise on this moment in the fields maturation, to capture metadata from SPA experiments and correlate this with experimental outcomes, which is presented here in a set of programmes called EMinsight. This tool aims to prototype the framework and types of analyses that could lead to new insights into optimal microscope configurations as well as for defining methods for metadata capture to assist with archiving of cryoEM SPA data. We also envisage this tool to be useful to microscope operators and facilities looking to rapidly generate reports on SPA data collection and screening sessions. SynopsisEMinsight is a Python-based tool for systematically mining metadata from single particle analysis cryoEM experiments. The capture and analysis of metadata facilitates assessment of instrument performance, provides concise reporting of experiment performance and sample quality by analysing preprocessing results, and gathers metadata for deposition. We envisage this approach to benefit the microscope operator, facility managers, database developers and users.

biophysics↗