Software tools for automated transmission electron microscopy
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- 13 May 2019
- journal article
- research article
- Published by Springer Nature in Nature Methods
- Vol. 16 (6) , 471-477
Abstract
The demand for high-throughput data collection in electron microscopy is increasing for applications in structural and cellular biology. Here we present a combination of software tools that enable automated acquisition guided by image analysis for a variety of transmission electron microscopy acquisition schemes. SerialEM controls microscopes and detectors and can trigger automated tasks at multiple positions with high flexibility. Py-EM interfaces with SerialEM to enact specimen-specific image-analysis pipelines that enable feedback microscopy. As example applications, we demonstrate dose reduction in cryo-electron microscopy experiments, fully automated acquisition of every cell in a plastic section and automated targeting on serial sections for 3D volume imaging across multiple grids.Keywords
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This publication has 44 references indexed in Scilit:
- Fiji: an open-source platform for biological-image analysisNature Methods, 2012
- Micropilot: automation of fluorescence microscopy–based imaging for systems biologyNature Methods, 2011
- Correlated fluorescence and 3D electron microscopy with high sensitivity and spatial precisionJournal of Cell Biology, 2011
- An approach to automated acquisition of cryoEM images from lacey carbon gridsJournal of Structural Biology, 2010
- Automated electron microscopy for evaluating two-dimensional crystallization of membrane proteinsJournal of Structural Biology, 2010
- Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genesNature, 2010
- EBImage—an R package for image processing with applications to cellular phenotypesBioinformatics, 2010
- Automated electron microscope tomography using robust prediction of specimen movementsJournal of Structural Biology, 2005
- Automated molecular microscopy: The new Leginon systemJournal of Structural Biology, 2005
- Computer Visualization of Three-Dimensional Image Data Using IMODJournal of Structural Biology, 1996