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Camera Paths, Modeling, and Image Processing Tools for ArtiaX

Ermel, U. H.; Moser, D.; Roth, P.; Arctaedius, G.; Wehrheim, M. H.; Scheffer, M. P.; Frangakis, A. S.

2024-10-23 bioinformatics
10.1101/2024.09.23.614454 bioRxiv
Show abstract

The enhancement of biomolecular image analysis and data interpretation is significantly improved through the application of advanced visualization techniques. Numerous visualization packages are currently available, spanning a broad spectrum of applications. Recently, we have extended the capabilities of UCSF ChimeraX to address the specific demands of cryo-electron tomography. Here, we introduce the evolution of our existing plugin, ArtiaX, designed to generate models that facilitate particle selection, define camera recording paths, and execute particle selection routines. In particular, diverse models can be generated and populated with putative particle positions and orientations. A specifically tailored coarse grained algorithm was developed to rectify overlaps, as encountered in template matching, employing a rapid and efficient approach. In addition, models can be used to drive the camera position, thereby simplifying the process of movie creation. The plugin incorporates fundamental image filtering options for the on-the-fly analysis of tomographic data and also provides compatibility of particle lists with RELION-5 star files. Collectively, this update of ArtiaX comprehensively encompasses essential tools for the analysis and visualization of electron tomograms. It retains its hallmark attributes of speed, reliability, and user-friendliness, fostering seamless human-machine interaction.

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