Efficient manual annotation of cryogenic electron tomograms using IMOD
Cristina Danita, Wah Chiu, Jesús G. Galaz-Montoya
Abstract
Annotation highlights and segmentation isolates features in cryogenic electron tomograms to improve visualization and quantification of features (for example, their size and abundance, and spatial relationships with other features), facilitating phenotypic structural analyses of cellular tomograms. Here, we present a manual annotation protocol using the open-source software IMOD and describe segmentation of three types of common cellular features: membranes, large globules, and filaments. IMOD's interpolation function can improve the speed of manual annotation up to an order of magnitude.
Topics & Concepts
AnnotationSegmentationSoftwareComputer scienceVisualizationInterpolation (computer graphics)Artificial intelligenceComputer visionPattern recognition (psychology)Computer graphics (images)Image (mathematics)Programming languageAdvanced Electron Microscopy Techniques and ApplicationsGenomics and Phylogenetic StudiesNanopore and Nanochannel Transport Studies