ReviewHistochemistry and cell biology2022
Three-dimensional SEM, TEM, and STEM for analysis of large-scale biological systems.
Review in Histochemistry and cell biology, 2022. 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Beyond spherical vesicles: morphological diversity of extracellular vesicles in health and disease.Annals of medicine · 2026Review
- Ultrastructural Organization of Epididymis in the Cattle Egret (Bubulcus ibis) During Breeding Season.Anatomia, histologia, embryologia · 2026Article
- Combating multidrug-resistant pathogens, breast cancer (MCF-7) and hepatocellular carcinoma (HepG2) using biofabricated zinc oxide nanoparticles.Scientific reports · 2026Article
- Morphometric analysis of the thymic epithelial cell network using integrated and orthogonal digital pathology approaches.Communications biology · 2026Article
- An Optimized Protocol for SBEM-Based Ultrastructural Analysis of Cultured Human Cells.Methods and protocols · 2025Article
- Silica-Biomacromolecule Interactions: Toward a Mechanistic Understanding of Silicification.Biomacromolecules · 2025Review
- Synaptic-like transmission between neural axons and arteriolar smooth muscle cells drives cerebral neurovascular coupling.Nature neuroscience · 2024Article
- 3D models of fungal chromosomes to enhance visual integration of omics data.NAR genomics and bioinformatics · 2023Article
- Osteogenic differentiation of adipose-derived canine mesenchymal stem cells seeded in porous calcium-phosphate scaffolds.Frontiers in veterinary science · 2023Article
- Utilization of commercial collagens for preparing well-differentiated human beta cells for confocal microscopy.Frontiers in endocrinology · 2023Article
- In focus in Vienna: Microscopy and cellular organelles.Histochemistry and cell biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
A major aim in structural cell biology is to analyze intact cells in three dimensions, visualize subcellular structures, and even localize proteins at the best possible resolution in three dimensions. Though recently developed electron microscopy tools such as electron tomography, or three-dimensional (3D) scanning electron microscopy, offer great resolution in three dimensions, the challenge is that, the better the resolution, usually the smaller the volume under investigation. Several different approaches to overcome this challenge were presented at the Microscopy Conference in Vienna in 2021. These tools include array tomography, batch tomography, or scanning transmission electron tomography, all of which can nowadays be extended toward correlative light and electron tomography, with greatly increased 3D information. Here, we review these tools, describe the underlying procedures, and discuss their advantages and limits.
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.