ArticleScientific reports2017
An on-chip imaging droplet-sorting system: a real-time shape recognition method to screen target cells in droplets with single cell resolution.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Microfluidics-based cell recognition through optimizing suspended cell staining techniques and artificial intelligence.Journal of biological engineering · 2026Article
- From specialization to broad adoption: Key trends in droplet microfluidic innovations enhancing accessibility to non-experts.Biomicrofluidics · 2025Article
- Pheno-Morphological Screening and Acoustic Sorting of 3D Multicellular Aggregates Using Drop Millifluidics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Unveiling the Potential of Single-Cell Encapsulation in Biomedical Applications: Current Advances and Future Perspectives.Small science · 2024Article
- A Label-Free Droplet Sorting Platform Integrating Dielectrophoretic Separation for Estimating Bacterial Antimicrobial Resistance.Biosensors · 2024Article
- Imaging Flow Cytometry: Development, Present Applications, and Future Challenges.Methods and protocols · 2024Review
- Recent advances in droplet sequential monitoring methods for droplet sorting.Biomicrofluidics · 2023Review
- Computer vision meets microfluidics: a label-free method for high-throughput cell analysis.Microsystems & nanoengineering · 2023Review
- Measuring cell deformation by microfluidics.Frontiers in bioengineering and biotechnology · 2023Review
- Droplet Detection and Sorting System in Microfluidics: A Review.Micromachines · 2022Review
- Content Size-Dependent Alginate Microcapsule Formation Using Centrifugation to Eliminate Empty Microcapsules for On-Chip Imaging Cell Sorter Application.Micromachines · 2022Article
- Vision-Based Performance Analysis of an Active Microfluidic Droplet Generation System Using Droplet Images.Sensors (Basel, Switzerland) · 2022Article
- Quantification of Biocatalytic Transformations by Single Microbial Cells Enabled by Tailored Integration of Droplet Microfluidics and Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2022Article
- Two-photon fluorescence lifetime for label-free microfluidic droplet sorting.Analytical and bioanalytical chemistry · 2022Article
- Emerging microfluidic technologies for microbiome research.Frontiers in microbiology · 2022Review
- Droplet Microfluidics for Microbial Biotechnology.Advances in biochemical engineering/biotechnology · 2022Article
- Acoustofluidic Droplet Sorter Based on Single Phase Focused Transducers.Small (Weinheim an der Bergstrasse, Germany) · 2021Article
- Variable inter and intraspecies alkaline phosphatase activity within single cells of revived dinoflagellates.The ISME journal · 2021Article
- Droplet flow cytometry for single-cell analysis.RSC advances · 2021Review
- Deep Learning-Enabled Label-Free On-Chip Detection and Selective Extraction of Cell Aggregate-Laden Hydrogel Microcapsules.Small (Weinheim an der Bergstrasse, Germany) · 2021Article
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8 authors.
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Abstract
A microfluidic on-chip imaging cell sorter has several advantages over conventional cell sorting methods, especially to identify cells with complex morphologies such as clusters. One of the remaining problems is how to efficiently discriminate targets at the species level without labelling. Hence, we developed a label-free microfluidic droplet-sorting system based on image recognition of cells in droplets. To test the applicability of this method, a mixture of two plankton species with different morphologies (Dunaliella tertiolecta and Phaeodactylum tricornutum) were successfully identified and discriminated at a rate of 10 Hz. We also examined the ability to detect the number of objects encapsulated in a droplet. Single cell droplets sorted into collection channels showed 91 ± 4.5% and 90 ± 3.8% accuracy for D. tertiolecta and P. tricornutum, respectively. Because we used image recognition to confirm single cell droplets, we achieved highly accurate single cell sorting. The results indicate that the integrated method of droplet imaging cell sorting can provide a complementary sorting approach capable of isolating single target cells from a mixture of cells with high accuracy without any staining.
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