ArticleBiomedical optics express2021
Plastic embedding for precise imaging of large-scale biological tissues labeled with multiple fluorescent dyes and proteins.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 4 citations in OpenAlex.
- Three-color high-definition whole-brain imaging: simultaneous analysis of multiple anatomical structures with colocalized cytoarchitectural information.Biomedical optics express · 2026Article
- Article
- Targeted approaches to delineate neuronal morphology during early development.Frontiers in cellular neuroscience · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resin embedding of multi-color labeled whole organs is the primary step to preserve structural information for visualization of fine structures in three dimensions. It is essential to study the morphological characteristics, spatial and positional relationships of the millions of neurons, and the intricate network of blood vessels with fluorescent labels in the brain. However, the current resin embedding method is inadequate because of incompatibilities with fluorescent dyes, making it difficult to reconstruct a variety of structures for the interpretation of their complex spatial relationships. We modified the resin embedding method for large biological tissues labeled with multiple fluorescent dyes and proteins through different labeling strategies. With TrueBlack as the background fluorescence inhibitor in the glycol methacrylate (GMA) embedding, we referred to the method as GMA-T (Glycol methacrylate with TB). In the GMA-T embedded mouse brains, structures labeled with fluorescent proteins and dyes were visualized in millimeter-scale networks with sub-cellular resolution, allowing quantitative analysis of different anatomical structures in the same brain, including neurons and blood vessels. In combination with high-resolution whole-brain imaging, it is possible to obtain a variety of fluorescence labeled structures in just a few days. We quantified the distribution and morphology of the tdTomato-labeled vasoactive intestinal polypeptide (VIP) neurons and the BSA-FITC labeled blood vessels in the same brain. These results demonstrated that VIP neurons and blood vessels have their own unique distribution patterns and morphological characteristics among cortical regions and different layers in cerebral cortex, and there was no significant correlation between VIP neurons and vessels. This approach provides a novel approach to study the interaction among different anatomical structures within large-volume biological samples labeled with multiple fluorescent dyes and proteins, which helps elucidating the complex anatomical characteristics of biological organs.
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.