ArticleProceedings of the National Academy of Sciences of the United States of America2017
Multiplex, quantitative cellular analysis in large tissue volumes with clearing-enhanced 3D microscopy (C
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 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
181 citing papers in PubMed, 264 citations in OpenAlex.
- Transient culture of adult human hepatocytes as organoids improves engineered liver engraftment.Biomaterials · 2027Article
- From identity to function: unveiling the cellular complexity of hypothalamic feeding circuits.Reviews in endocrine & metabolic disorders · 2026Review
- Enhancing the efficiency of achieving optical transparency in live animals using absorbing molecules.Journal of biomedical optics · 2026Article
- Practical AI-based cell extraction and spatial statistics for large 3D bone marrow tissue images.Cell reports methods · 2026Article
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- 3D reconstruction of human liver tissue at cellular resolution.Science advances · 2026Article
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- Cyst-independent oocyte phagocytosis builds the female reproductive reserve in mice.EMBO reports · 2026Article
- The evolving landscape of spatial proteomics technologies in the AI age.Fundamental research · 2026Review
- Uniform volumetric single-cell processing for organ-scale molecular phenotyping.Nature biotechnology · 2025Article
- PRIAMOS: A technique for mixing embedding media for freely adjusting pH value and refractive index (RI) for optical clearing (OC) of whole tissue samples.Journal of microscopy · 2025Article
- CIMT 2025: Report on the 22Human vaccines & immunotherapeutics · 2025Article
- HarnessingSensors (Basel, Switzerland) · 2025Review
- Rapid sonication-assisted whole tissue clearing and immunostaining.Scientific reports · 2025Article
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- Highly multiplexed 3D profiling of cell states and immune niches in human tumors.Nature methods · 2025Article
- Dual Bmp-negative feedback loops modulate function of both AER and ZPA to buffer and constrain postaxial digit number.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Triggering mouth-resident antiviral CD8Mucosal immunology · 2025Article
121 more citing papers are in PubMed but not listed here.
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 at 2 institutions in 1 country.
Funding
Abstract
Organ homeostasis, cellular differentiation, signal relay, and in situ function all depend on the spatial organization of cells in complex tissues. For this reason, comprehensive, high-resolution mapping of cell positioning, phenotypic identity, and functional state in the context of macroscale tissue structure is critical to a deeper understanding of diverse biological processes. Here we report an easy to use method, clearing-enhanced 3D (C
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.