ArticleAdvanced materials (Deerfield Beach, Fla.)2019
Immunogold FIB-SEM: Combining Volumetric Ultrastructure Visualization with 3D Biomolecular Analysis to Dissect Cell-Environment Interactions.
Article in Advanced materials (Deerfield Beach, Fla.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Immunoelectron microscopy: a comprehensive guide from sample preparation to high-resolution imaging.Discover nano · 2025Review
- Microscopy methods for the in vivo study of nanoscale nuclear organization.Biochemical Society transactions · 2025Review
- AI-based hardware and software tools in microscopy to boost research in immunology and virology.Frontiers in immunology · 2025Review
- Article
- HP1 proteins regulate nucleolar structure and function by secluding pericentromeric constitutive heterochromatin.Nucleic acids research · 2023Article
- Advancing cell instructive biomaterials through increased understanding of cell receptor spacing and material surface functionalization.Regenerative engineering and translational medicine · 2021Article
- Volume electron microscopy: analyzing the lung.Histochemistry and cell biology · 2021Review
- Electron Microscopy Techniques for Investigating Structure and Composition of Hair-Cell Stereociliary Bundles.Frontiers in cell and developmental biology · 2021Article
- Direct imaging of antigen-antibody binding by atomic force microscopy.Applied nanoscience · 2021Article
- Quantitative Particle Uptake by Cells as Analyzed by Different Methods.Angewandte Chemie (International ed. in English) · 2020Review
- High-Aspect-Ratio Nanostructured Surfaces as Biological Metamaterials.Advanced materials (Deerfield Beach, Fla.) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
Volumetric imaging techniques capable of correlating structural and functional information with nanoscale resolution are necessary to broaden the insight into cellular processes within complex biological systems. The recent emergence of focused ion beam scanning electron microscopy (FIB-SEM) has provided unparalleled insight through the volumetric investigation of ultrastructure; however, it does not provide biomolecular information at equivalent resolution. Here, immunogold FIB-SEM, which combines antigen labeling with in situ FIB-SEM imaging, is developed in order to spatially map ultrastructural and biomolecular information simultaneously. This method is applied to investigate two different cell-material systems: the localization of histone epigenetic modifications in neural stem cells cultured on microstructured substrates and the distribution of nuclear pore complexes in myoblasts differentiated on a soft hydrogel surface. Immunogold FIB-SEM offers the potential for broad applicability to correlate structure and function with nanoscale resolution when addressing questions across cell biology, biomaterials, and regenerative medicine.
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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.