ArticleMethods in cell biology2011
Rise of the micromachines: microfluidics and the future of cytometry.
Article in Methods in cell biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Live-Cell Systems in Real-Time Biomonitoring of Water Pollution: Practical Considerations and Future Perspectives.Sensors (Basel, Switzerland) · 2021Review
- Understanding breast cancer heterogeneity through non-genetic heterogeneity.Breast cancer (Tokyo, Japan) · 2021Review
- Microfluidic flow cytometry: The role of microfabrication methodologies, performance and functional specification.Technology · 2018Article
- Tumour Heterogeneity: The Key Advantages of Single-Cell Analysis.International journal of molecular sciences · 2016Review
- A contact-imaging based microfluidic cytometer with machine-learning for single-frame super-resolution processing.PloS one · 2014Article
- Microfluidic chip-based technologies: emerging platforms for cancer diagnosis.BMC biotechnology · 2013Review
- Opportunities and challenges for use of tumor spheroids as models to test drug delivery and efficacy.Journal of controlled release : official journal of the Controlled Release Society · 2012Review
- Chromosomes in the flow to simplify genome analysis.Functional & integrative genomics · 2012Review
- From single cells to deep phenotypes in cancer.Nature biotechnology · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The past decade has brought many innovations to the field of flow and image-based cytometry. These advancements can be seen in the current miniaturization trends and simplification of analytical components found in the conventional flow cytometers. On the other hand, the maturation of multispectral imaging cytometry in flow imaging and the slide-based laser scanning cytometers offers great hopes for improved data quality and throughput while proving new vistas for the multiparameter, real-time analysis of cells and tissues. Importantly, however, cytometry remains a viable and very dynamic field of modern engineering. Technological milestones and innovations made over the last couple of years are bringing the next generation of cytometers out of centralized core facilities while making it much more affordable and user friendly. In this context, the development of microfluidic, lab-on-a-chip (LOC) technologies is one of the most innovative and cost-effective approaches toward the advancement of cytometry. LOC devices promise new functionalities that can overcome current limitations while at the same time promise greatly reduced costs, increased sensitivity, and ultra high throughputs. We can expect that the current pace in the development of novel microfabricated cytometric systems will open up groundbreaking vistas for the field of cytometry, lead to the renaissance of cytometric techniques and most importantly greatly support the wider availability of these enabling bioanalytical technologies.
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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.