ArticleNanoImpact2020
Mapping 2D- and 3D-distributions of metal/metal oxide nanoparticles within cleared human
Article in NanoImpact, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Toxicity Evaluation of TiOFrontiers in bioengineering and biotechnology · 2020Pooled it
- Current progress of labeling strategies in tissue clearing for large-scale biological visualization.Frontiers in cell and developmental biology · 2026Review
- Progress on three-dimensional visualizing skin architecture with multiple immunofluorescence staining and tissue-clearing approaches.Histology and histopathology · 2025Review
- Frontiers in artificial intelligence-directed light-sheet microscopy for uncovering biological phenomena and multi-organ imaging.View (Beijing, China) · 2024Article
- Looking both ways: Electroactive biomaterials with bidirectional implications for dynamic cell-material crosstalk.Biophysics reviews · 2024Review
- Characterization Methods for Nanoparticle-Skin Interactions: An Overview.Life (Basel, Switzerland) · 2024Review
- Optical Microscopy Systems for the Detection of Unlabeled Nanoparticles.International journal of nanomedicine · 2022Review
- Transcorneal delivery of topically applied silver nanoparticles does not delay epithelial wound healing.NanoImpact · 2021Article
- High-Throughput Screening Platform for Nanoparticle-Mediated Alterations of DNA Repair Capacity.ACS nano · 2021Article
- Comprehensive analysis of keloid vasculature by tissue clearing and 3D imaging.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair SocietyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
An increasing number of commercial skincare products are being manufactured with engineered nanomaterials (ENMs), prompting a need to fully understand how ENMs interact with the dermal barrier as a major biodistribution entry route. Although animal studies show that certain nanomaterials can cross the skin barrier, physiological differences between human and animal skin, such as the lack of sweat glands, limit the translational validity of these results. Current optical microscopy methods have limited capabilities to visualize ENMs within human skin tissues due to the high amount of background light scattering caused by the dense, ubiquitous extracellular matrix (ECM) of the skin. Here, we hypothesized that organic solvent-based tissue clearing ("immunolabeling-enabled three-dimensional imaging of solvent-cleared organs", or "iDISCO") would reduce background light scattering from the extracellular matrix of the skin to sufficiently improve imaging contrast for both 2D mapping of unlabeled metal oxide ENMs and 3D mapping of fluorescent nanoparticles. We successfully mapped the 2D distribution of label-free TiO
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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.