ArticleSTAR protocols2022
Efficient manual annotation of cryogenic electron tomograms using IMOD.
Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Phosphatidylinositol diphosphate binding by ESCRT-III filaments.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A robust workflow for 3D imaging of human mitochondria using cryo-electron tomography.bioRxiv : the preprint server for biology · 2026Article
- A generalizable and targeted molecular biopsy approach for in situ cryogenic electron tomography of vitreous brain tissue.Cell reports methods · 2025Article
- The Mn-motif protein MAP6d1 assembles ciliary doublet microtubules.Nature communications · 2025Article
- Structural insights into the in situ assembly of clustered protocadherin γB4.Nature communications · 2025Article
- Extracellular sombrero vesicles are hallmarks of eosinophilic cytolytic degranulation in tissue sites of human diseases.Journal of leukocyte biology · 2024Article
- The advent of preventive high-resolution structural histopathology by artificial-intelligence-powered cryogenic electron tomography.Frontiers in molecular biosciences · 2024Review
- scNodes: a correlation and processing toolkit for super-resolution fluorescence and electron microscopy.Nature methods · 2023Article
- Previously uncharacterized rectangular bacterial structures in the dolphin mouth.Nature communications · 2023Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.