ArticleScientific reports2020
Image-Based Single Cell Sorting Automation in Droplet Microfluidics.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
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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.
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Who cites it
39 citing papers in PubMed, 107 citations in OpenAlex.
- Optimized Hough Circle Transform for Automated Microparticle Counting in Microfluidic Platforms.Micromachines · 2026Article
- Intelligent label-free droplet microfluidic sorting system for single-cell encapsulation and morphology-guided screening.Microsystems & nanoengineering · 2026Article
- CellTrap: an instrument-free microfluidic platform for cell-cell interactions at stochastically generated effector-to-target ratios.RSC advances · 2026Article
- Effect of droplet size on the encapsulation efficiency of microparticles in passive microfluidic systems.Biomedical microdevices · 2026Article
- Droplet based microfluidic and miniaturization at high-throughput level to screening heterologous secondary metabolites in microbes: A critical review.Biotechnology letters · 2025Review
- AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis.Scientific reports · 2025Article
- Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics.Microsystems & nanoengineering · 2025Article
- Highly Efficient Calibration-Free Color Compensation Algorithm for Imaging Flow Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2025Article
- Artificial intelligence-enabled multipurpose smart detection in active-matrix electrowetting-on-dielectric digital microfluidics.Microsystems & nanoengineering · 2024Article
- A Droplet-Based Microfluidic Platform for High-Throughput Culturing of Yeast Cells in Various Conditions.Micromachines · 2024Article
- Microfluidic Biochips for Single-Cell Isolation and Single-Cell Analysis of Multiomics and Exosomes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Droplet-based microfluidic platform for detecting agonistic peptides that are self-secreted by yeast expressing a G-protein-coupled receptor.Microbial cell factories · 2024Article
- Deep learning enabled label-free microfluidic droplet classification for single cell functional assays.Frontiers in bioengineering and biotechnology · 2024Article
- The use of droplet-based microfluidic technologies for accelerated selection ofBiology methods & protocols · 2024Review
- Image-Based Feedback of Multi-Component Microdroplets for Ultra-Monodispersed Library Preparation.Micromachines · 2023Article
- Recent advances in droplet sequential monitoring methods for droplet sorting.Biomicrofluidics · 2023Review
- Towards single cell encapsulation for precision biology and medicine.Advanced drug delivery reviews · 2023Review
- Enhancing single-cell biology through advanced AI-powered microfluidics.Biomicrofluidics · 2023Article
- Active learning applied to automated physical systems increases the rate of discovery.Scientific reports · 2023Article
- iSort enables automated complex microfluidic droplet sorting in an effort to democratize technology.Cell reports methods · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The recent boom in single-cell omics has brought researchers one step closer to understanding the biological mechanisms associated with cell heterogeneity. Rare cells that have historically been obscured by bulk measurement techniques are being studied by single cell analysis and providing valuable insight into cell function. To support this progress, novel upstream capabilities are required for single cell preparation for analysis. Presented here is a droplet microfluidic, image-based single-cell sorting technique that is flexible and programmable. The automated system performs real-time dual-camera imaging (brightfield & fluorescent), processing, decision making and sorting verification. To demonstrate capabilities, the system was used to overcome the Poisson loading problem by sorting for droplets containing a single red blood cell with 85% purity. Furthermore, fluorescent imaging and machine learning was used to load single K562 cells amongst clusters based on their instantaneous size and circularity. The presented system aspires to replace manual cell handling techniques by translating expert knowledge into cell sorting automation via machine learning algorithms. This powerful technique finds application in the enrichment of single cells based on their micrographs for further downstream processing and analysis.
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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.