ArticleInterface focus2013
From seeing to believing: labelling strategies for in vivo cell-tracking experiments.
Article in Interface focus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 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
124 citing papers in PubMed.
- Structural, Compositional, and Dielectric State Profiling in Label-Free Single-Cell Monitoring.Small methods · 2026Review
- Engineered extracellular vesicles for combinatorial cancer therapy and imaging.Acta pharmaceutica Sinica. B · 2026Review
- Revolutionizing Stem Cell Sorting with Machine Learning: A Review of Trends, Tools, and Future Directions.Iranian journal of medical sciences · 2026Review
- Automated Label-Free Classification of Circulating Tumor Cells and White Blood Cells Using Hyperspectral Imaging and Deep Learning on Microfluidic SACA Chip System.Micromachines · 2026Article
- Zebrafish Xenograft Model for Predicting Cisplatin Efficacy in Muscle-Invasive Bladder Cancer.Cancer science · 2025Article
- Role of Serum Stability and Lipoprotein Interactions in Lipid Structure-Tumor Accumulation Relationship.ACS nano · 2025Article
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- Induced Treg-Derived Extracellular Vesicles Suppress CD4Journal of extracellular vesicles · 2025Article
- Suppression of global protein synthesis and hepatocellular carcinoma cell growth by Benzimidazoisoquinoline, 4,11-Dichloro-BBQ.Biochemical pharmacology · 2025Article
- Intravital Imaging of Immune Responses in the Cancer Microenvironment.Cancer medicine · 2025Review
- MIML: multiplex image machine learning for high precision cell classification via mechanical traits within microfluidic systems.Microsystems & nanoengineering · 2025Article
- Article
- Review
- The careful selection of zwitterionic nanoparticle coating results in rapid and efficient cell labelling for imaging-based cell tracking.Aggregate (Hoboken, N.J.) · 2024Article
- Rapid mechanical phenotyping of breast cancer cells based on stochastic intracellular fluctuations.iScience · 2024Article
- Cell sorting based on pulse shapes from angle resolved detection of scattered light.Communications biology · 2024Article
- Macrophage depletion overcomes human hematopoietic cell engraftment failure in zebrafish embryo.Cell death & disease · 2024Article
- Cellular heterogeneity in TNF/TNFR1 signalling: live cell imaging of cell fate decisions in single cells.Cell death & disease · 2024Review
- Characterization of CM-Dil-labeled Muse cells in culture and in skin wounds in rats.Cell and tissue banking · 2024Article
- Label-free enrichment of human pluripotent stem cell-derived early retinal progenitor cells for cell-based regenerative therapies.Stem cell reports · 2024Article
64 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.
Funding
Abstract
Intravital microscopy has become increasingly popular over the past few decades because it provides high-resolution and real-time information about complex biological processes. Technological advances that allow deeper penetration in live tissues, such as the development of confocal and two-photon microscopy, together with the generation of ever-new fluorophores that facilitate bright labelling of cells and tissue components have made imaging of vertebrate model organisms efficient and highly informative. Genetic manipulation leading to expression of fluorescent proteins is undoubtedly the labelling method of choice and has been used to visualize several cell types in vivo. This approach, however, can be technically challenging and time consuming. Over the years, several dyes have been developed to allow rapid, effective and bright ex vivo labelling of cells for subsequent transplantation and imaging. Here, we review and discuss the advantages and limitations of a number of strategies commonly used to label and track cells at high resolution in vivo in mouse and zebrafish, using fluorescence microscopy. While the quest for the perfect label is far from achieved, current reagents are valuable tools enabling the progress of biological discovery, so long as they are selected and used appropriately.
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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.