ArticleUltramicroscopy2015
Accurate membrane tracing in three-dimensional reconstructions from electron cryotomography data.
Article in Ultramicroscopy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed.
- Cryo-EM tomography and automatic segmentation delineate modular structures in the postsynaptic density.Frontiers in synaptic neuroscience · 2023Article
- High Rac1 activity is functionally translated into cytosolic structures with unique nanoscale cytoskeletal architecture.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Convolutional neural networks for automated annotation of cellular cryo-electron tomograms.Nature methods · 2017Article
- Nano-scale actin-network characterization of fibroblast cells lacking functional Arp2/3 complex.Journal of structural biology · 2017Article
- A validated active contour method driven by parabolic arc model for detection and segmentation of mitochondria.Journal of structural biology · 2016Article
- Quantifying Variability of Manual Annotation in Cryo-Electron Tomograms.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The connection between the extracellular matrix and the cell is of major importance for mechanotransduction and mechanobiology. Electron cryo-tomography, in principle, enables better than nanometer-resolution analysis of these connections, but restrictions of data collection geometry hamper the accurate extraction of the ventral membrane location from these tomograms, an essential prerequisite for the analysis. Here, we introduce a novel membrane tracing strategy that enables ventral membrane extraction at high fidelity and extraordinary accuracy. The approach is based on detecting the boundary between the inside and the outside of the cell rather than trying to explicitly trace the membrane. Simulation studies show that over 99% of the membrane can be correctly modeled using this principle and the excellent match of visually identifiable membrane stretches with the extracted boundary of experimental data indicates that the accuracy is comparable for actual data.
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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.