ReviewNature protocols2021
Tutorial: methods for three-dimensional visualization of archival tissue material.
Review in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A standardized workflow for precision liver resection: systematic review of integrated 3D visualization, indocyanine green fluorescence, and augmented reality navigation.Journal of robotic surgery · 2026Pooled it
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Low-vacuum scanning electron microscopy for informative three-dimensional imaging of cell/tissue architectures and biomedical target localization.Microscopy (Oxford, England) · 2026Review
- 3D radiomics profiling of thyroid tumors using micro-CT.Scientific reports · 2026Article
- Follicular Thyroid Carcinoma Relapse Cases - Revisited by X-ray 3D Virtual Histology.Endocrine pathology · 2025Article
- Spatial omics technology potentially promotes the progress of tumor immunotherapy.British journal of cancer · 2025Review
- Histological and histochemical characterization of the musk gland in forest musk deer (European journal of histochemistry : EJH · 2025Article
- KMnONpj imaging · 2024Article
- The importance of 3D fibre architecture in cancer and implications for biomaterial model design.Nature reviews. Cancer · 2024Review
- Spatial tumor biopsy with fluorescence PCR microneedle array.Innovation (Cambridge (Mass.)) · 2024Article
- Multidimensional Imaging of Breast Cancer.Cold Spring Harbor perspectives in medicine · 2023Review
- Understanding Breast Cancers through Spatial and High-Resolution Visualization Using Imaging Technologies.Cancers · 2022Review
- Tutorial: methods for three-dimensional visualization of archival tissue material.Nature protocols · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Analysis of three-dimensional patient specimens is gaining increasing relevance for understanding the principles of tissue structure as well as the biology and mechanisms underlying disease. New technologies are improving our ability to visualize large volume of tissues with subcellular resolution. One resource often overlooked is archival tissue maintained for decades in hospitals and research archives around the world. Accessing the wealth of information stored within these samples requires the use of appropriate methods. This tutorial introduces the range of sample preparation and microscopy approaches available for three-dimensional visualization of archival tissue. We summarize key aspects of the relevant techniques and common issues encountered when using archival tissue, including registration and antibody penetration. We also discuss analysis pipelines required to process, visualize and analyze the data and criteria to guide decision-making. The methods outlined in this tutorial provide an important and sustainable avenue for validating three-dimensional tissue organization and mechanisms of disease.
Indexed as
Identifiers
34716449What 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.