ArticleJournal of structural biology2019
Semi-automated 3D segmentation of human skeletal muscle using Focused Ion Beam-Scanning Electron Microscopic images.
Article in Journal of structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- DeepBranchAI: a transferable 3D segmentation model for branching networks.Frontiers in artificial intelligence · 2026Article
- Impact of capillary and sarcolemmal proximity on mitochondrial structure and energetic function in skeletal muscle.The Journal of physiology · 2024Article
- Exercise metabolism and adaptation in skeletal muscle.Nature reviews. Molecular cell biology · 2023Review
- Skeletal muscle aging and sarcopenia: Perspectives from mechanical studies of single permeabilized muscle fibers.Journal of biomechanics · 2023Review
- Mitochondrial network configuration influences sarcomere and myosin filament structure in striated muscles.Nature communications · 2022Article
- State of Knowledge on Molecular Adaptations to Exercise in Humans: Historical Perspectives and Future Directions.Comprehensive Physiology · 2022Article
- Energy transfer between the mitochondrial network and lipid droplets in insulin resistant skeletal muscle.Current opinion in physiology · 2021Article
- Energy metabolism design of the striated muscle cell.Physiological reviews · 2021Review
- Subcellular Specialization of Mitochondrial Form and Function in Skeletal Muscle Cells.Frontiers in cell and developmental biology · 2021Review
- Electron Microscopy Techniques for Investigating Structure and Composition of Hair-Cell Stereociliary Bundles.Frontiers in cell and developmental biology · 2021Article
- The unified myofibrillar matrix for force generation in muscle.Nature communications · 2020Article
- Quantification of cristae architecture reveals time-dependent characteristics of individual mitochondria.Life science alliance · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) is an imaging approach that enables analysis of the 3D architecture of cells and tissues at resolutions that are 1-2 orders of magnitude higher than that possible with light microscopy. The slow speeds of data collection and manual segmentation are two critical problems that limit the more extensive use of FIB-SEM technology. Here, we present an easily accessible robust method that enables rapid, large-scale acquisition of data from tissue specimens, combined with an approach for semi-automated data segmentation using the open-source machine learning Weka segmentation software, which dramatically increases the speed of image analysis. We demonstrate the feasibility of these methods through the 3D analysis of human muscle tissue by showing that our process results in an improvement in speed of up to three orders of magnitude as compared to manual approaches for data segmentation. All programs and scripts we use are open source and are immediately available for use by others.
Indexed as
Identifiers
What OpenQuestion holds
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.