ArticleBMC biology2018
Q&A: Array tomography.
Article in BMC biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Data-driven synapse classification reveals a logic of glutamate receptor diversity.bioRxiv : the preprint server for biology · 2025Article
- Array tomography: trails to discovery.Methods in microscopy · 2024Article
- The advent of preventive high-resolution structural histopathology by artificial-intelligence-powered cryogenic electron tomography.Frontiers in molecular biosciences · 2024Review
- Array tomography: 15 years of synaptic analysis.Neuronal signaling · 2022Article
- Volume electron microscopy.Nature reviews. Methods primers · 2022Article
- A versatile enhanced freeze-substitution protocol for volume electron microscopy.Frontiers in cell and developmental biology · 2022Article
- Click-correlative light and electron microscopy (click-AT-CLEM) for imaging and tracking azido-functionalized sphingolipids in bacteria.Scientific reports · 2021Article
- Peculiar protrusions along tanycyte processes face diverse neural and nonneural cell types in the hypothalamic parenchyma.The Journal of comparative neurology · 2021Article
- Volume electron microscopy: analyzing the lung.Histochemistry and cell biology · 2021Review
- Efficient and Accurate Synapse Detection With Selective Structured Illumination Microscopy on the Putative Regions of Interest of Ultrathin Serial Sections.Frontiers in neuroanatomy · 2021Article
- Unobstructed Multiscale Imaging of Tissue Sections for Ultrastructural Pathology Analysis by Backscattered Electron Scanning Microscopy.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2020Article
- Article
- MagC, magnetic collection of ultrathin sections for volumetric correlative light and electron microscopy.eLife · 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
1 author.
Funding
Abstract
Array tomography encompasses light and electron microscopy modalities that offer unparalleled opportunities to explore three-dimensional cellular architectures in extremely fine structural and molecular detail. Fluorescence array tomography achieves much higher resolution and molecular multiplexing than most other fluorescence microscopy methods, while electron array tomography can capture three-dimensional ultrastructure much more easily and rapidly than traditional serial-section electron microscopy methods. A correlative fluorescence/electron microscopy mode of array tomography furthermore offers a unique capacity to merge the molecular discrimination strengths of multichannel fluorescence microscopy with the ultrastructural imaging strengths of electron microscopy. This essay samples the first decade of array tomography, highlighting applications in neuroscience.
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.