ReviewThe FEBS journal2019
Expansion microscopy: enabling single cell analysis in intact biological systems.
Review in The FEBS journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Can repetitive mechanical motion cause structural damage to axons?Frontiers in molecular neuroscience · 2024Review
- Expansion microscopy: A chemical approach for super-resolution microscopy.Current opinion in structural biology · 2023Review
- Expansion microscopy of neutrophil nuclear structure and extracellular traps.Biophysical reports · 2023Article
- Imaging nanoscale nuclear structures with expansion microscopy.Journal of cell science · 2022Article
- Can Developments in Tissue Optical Clearing Aid Super-Resolution Microscopy Imaging?International journal of molecular sciences · 2021Review
- Review
- Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems.Science (New York, N.Y.) · 2021Article
- Prospects and limitations of expansion microscopy in chromatin ultrastructure determination.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2020Article
- Use of Single-Cell -Omic Technologies to Study the Gastrointestinal Tract and Diseases, From Single Cell Identities to Patient Features.Gastroenterology · 2020Review
- In focus in HCB.Histochemistry and cell biology · 2020Article
- Optogenetic Techniques for Manipulating and Sensing G Protein-Coupled Receptor Signaling.Methods in molecular biology (Clifton, N.J.) · 2020Review
- Expansion microscopy for the analysis of centrioles and cilia.Journal of microscopy · 2019Article
- Beyond bulk: a review of single cell transcriptomics methodologies and applications.Current opinion in biotechnology · 2019Review
- Expansion Light Sheet Microscopy Resolves Subcellular Structures in Large Portions of the Songbird Brain.Frontiers in neuroanatomy · 2019Article
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
There is a need for single cell analysis methods that enable the identification and localization of different kinds of biomolecules throughout cells and intact tissues, thereby allowing characterization and classification of individual cells and their relationships to each other within intact systems. Expansion microscopy (ExM) is a technology that physically magnifies tissues in an isotropic way, thereby achieving super-resolution microscopy on diffraction-limited microscopes, enabling rapid image acquisition and large field of view. As a result, ExM is well-positioned to integrate molecular content and cellular morphology, with the spatial precision sufficient to resolve individual biological building blocks, and the scale and accessibility required to deploy over extended 3-D objects like tissues and organs.
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.