Anastasia currently enjoys the following methodologies:
HT-Imaging for TEM 
Development of automated acquisition methods for TEM has been boosted mainly by academic efforts (UCSF Tomography, Leginon, SerialEM) in a relatively low cost. Since 2016 Anastasia is using SerialEM as an acquisition software package to automatize the collections on Tecnai microscopes. To the time being Anastasia offers help with automated collections for:
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Serial electron tomography (dual axis and CryoET)
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High resolution mapping of entire cell profiles
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On-grid CLEM approaches
Tomographic reconstructions
In electron tomography, the tilt series acquired, by tilting the sample to different angles under the electron beam (usually every 1 or 2 degrees from about −60° to +60°), can then be computationally reconstructed into a 3D volume.
Typically, reconstruction of electron tomograms consists of five steps; pre-processing, estimation of initial image shifts, preparation of the fiducial model and tilt-series alignment, post-processing, and reconstruction. In case of dual axis tomography the tomographic volumes from each axis are build separately and combined in a final step.
Users are encouraged to reconstruct their own tomograms with IMOD, using either their own computing resources or the ones provided by UBI. IMOD is installed in all UBI’s workstations.
Volume annotation
For volume data containing more complex structures, a direct 3D volume rendering is often difficult to analyze. Especially in CryoET where the signal to noise ratio is quite low. Their interpretation is therefore simplified by creating 3D surface models by locating objects of interest and boundaries using segmentation tools.
Anastasia prefers the use of academic software, like the IMOD segmentation tools for manual annotation and eman2 for CNN based annotation, coupled to the UCSF Chimera and ChimeraX for further 3D modeling and surface rendering.
PNAS 2021 Vol. 118 No. 32 e2105540118