ArticlePloS one2011
Statistical modeling of single target cell encapsulation.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02824471 (Sickle Cell Disease), which is not on this map. Cited by 24 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.
Sickle Cell Disease (SCD) Biochip': Towards a Simple and Reliable Way to Monitor Sickle Cell Disease
Who cites it
24 citing papers in PubMed.
- Tethered Catalytic Hairpin Assembly with Plasmon-Enhanced Fluorescence Readout for Single Molecule Detection.Small methods · 2025Article
- Droplet Digital PCR: A Powerful Tool for Accurate Quantification of Hepatitis D Virus RNA Levels and Verification of Detection Limits.Journal of viral hepatitis · 2025Article
- Deep learning enabled label-free microfluidic droplet classification for single cell functional assays.Frontiers in bioengineering and biotechnology · 2024Article
- Enhancing single-cell encapsulation in droplet microfluidics with fine-tunable on-chip sample enrichment.Microsystems & nanoengineering · 2024Article
- Expanded Multiplexing on Sensor-Constrained Microfluidic Partitioning Systems.Analytical chemistry · 2023Article
- Invert emulsions alleviate biotic interactions in bacterial mixed culture.Microbial cell factories · 2023Article
- Droplets microfluidics platform-A tool for single cell research.Frontiers in bioengineering and biotechnology · 2023Review
- Extreme Compressed Sensing of Poisson Rates from Multiple Measurements.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2022Article
- Single-Cell Microgels for Diagnostics and Therapeutics.Advanced functional materials · 2021Article
- GMM-Demux: sample demultiplexing, multiplet detection, experiment planning, and novel cell-type verification in single cell sequencing.Genome biology · 2020Article
- Image-Based Single Cell Sorting Automation in Droplet Microfluidics.Scientific reports · 2020Article
- Enrichment of rare events using a multi-parameter high throughput microfluidic droplet sorter.Lab on a chip · 2020Article
- Geometry Effects of Axisymmetric Flow-Focusing Microchannels for Single Cell Encapsulation.Materials (Basel, Switzerland) · 2019Article
- Assessing the airborne survival of bacteria in populations of aerosol droplets with a novel technology.Journal of the Royal Society, Interface · 2019Article
- High-throughput Characterization of HIV-1 Reservoir Reactivation Using a Single-Cell-in-Droplet PCR Assay.EBioMedicine · 2017Article
- Generation and manipulation of hydrogel microcapsules by droplet-based microfluidics for mammalian cell culture.Lab on a chip · 2017Review
- An on-chip imaging droplet-sorting system: a real-time shape recognition method to screen target cells in droplets with single cell resolution.Scientific reports · 2017Article
- Engineering anisotropic biomimetic fibrocartilage microenvironment by bioprinting mesenchymal stem cells in nanoliter gel droplets.Molecular pharmaceutics · 2014Article
- Manipulating biological agents and cells in micro-scale volumes for applications in medicine.Chemical Society reviews · 2013Review
- Single-cell analysis and sorting using droplet-based microfluidics.Nature protocols · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
High throughput drop-on-demand systems for separation and encapsulation of individual target cells from heterogeneous mixtures of multiple cell types is an emerging method in biotechnology that has broad applications in tissue engineering and regenerative medicine, genomics, and cryobiology. However, cell encapsulation in droplets is a random process that is hard to control. Statistical models can provide an understanding of the underlying processes and estimation of the relevant parameters, and enable reliable and repeatable control over the encapsulation of cells in droplets during the isolation process with high confidence level. We have modeled and experimentally verified a microdroplet-based cell encapsulation process for various combinations of cell loading and target cell concentrations. Here, we explain theoretically and validate experimentally a model to isolate and pattern single target cells from heterogeneous mixtures without using complex peripheral systems.
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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.