ArticleAnalytical chemistry2022
Modified Red Blood Cells as Multimodal Standards for Benchmarking Single-Cell Cytometry and Separation Based on Electrical Physiology.
Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Neural Network-Enabled Multiparametric Impedance Signal Templating for High throughput Single-Cell Deformability Cytometry Under Viscoelastic Extensional Flows.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Microfluidic-Based Electrical Operation and Measurement Methods in Single-Cell Analysis.Sensors (Basel, Switzerland) · 2024Review
- On-Chip Impedance Spectroscopy of Malaria-Infected Red Blood Cells.Sensors (Basel, Switzerland) · 2024Article
- Microwave Flow Cytometric Detection and Differentiation ofSensors (Basel, Switzerland) · 2024Article
- Highly Sensitive and Linear Resonator-Based Biosensor for White Blood Cell Counting: Feasible Measurement Method and Intrinsic Mechanism Exploration.Biosensors · 2024Article
- Microfluidic Blood Separation: Key Technologies and Critical Figures of Merit.Micromachines · 2023Review
- Correlating Antibiotic-Induced Dysbiosis toACS infectious diseases · 2023Article
- Rapid Assessment of Susceptibility of Bacteria and Erythrocytes to Antimicrobial Peptides by Single-Cell Impedance Cytometry.ACS sensors · 2023Article
- Supervised learning on impedance cytometry data for label-free biophysical distinction of pancreatic cancer cells versus their associated fibroblasts under gemcitabine treatment.Biosensors & bioelectronics · 2023Article
- Microfluidic Impedance Cytometry for Single-Cell Particulate Inorganic Carbon:Particulate Organic Carbon Measurements of Calcifying Algae.Global challenges (Hoboken, NJ) · 2023Article
- Single-Cell Classification Based on Population Nucleus Size Combining Microwave Impedance Spectroscopy and Machine Learning.Sensors (Basel, Switzerland) · 2023Article
- Advances in Microfluidics for Single Red Blood Cell Analysis.Biosensors · 2023Review
- Sensor technologies for quality control in engineered tissue manufacturing.Biofabrication · 2022Review
- Single-cell assessment of the modulation of macrophage activation by ex vivo intervertebral discs using impedance cytometry.Biosensors & bioelectronics · 2022Article
- Assessment of the electrical penetration of cell membranes using four-frequency impedance cytometry.Microsystems & nanoengineering · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Biophysical cellular information at single-cell sensitivity is becoming increasingly important within analytical and separation platforms that associate the cell phenotype with markers of disease, infection, and immunity. Frequency-modulated electrically driven microfluidic measurement and separation systems offer the ability to sensitively identify single cells based on biophysical information, such as their size and shape, as well as their subcellular membrane morphology and cytoplasmic organization. However, there is a lack of reliable and reproducible model particles with well-tuned subcellular electrical phenotypes that can be used as standards to benchmark the electrical physiology of unknown cell types or to benchmark dielectrophoretic separation metrics of novel device strategies. Herein, the application of red blood cells (RBCs) as multimodal standard particles with systematically modulated subcellular electrophysiology and associated fluorescence level is presented. Using glutaraldehyde fixation to vary membrane capacitance and by membrane resealing after electrolyte penetration to vary interior cytoplasmic conductivity and fluorescence in a correlated manner, each modified RBC type can be identified at single-cell sensitivity based on phenomenological impedance metrics and fitted to dielectric models to compute biophysical information. In this manner, single-cell impedance data from unknown RBC types can be mapped versus these model RBC types for facile determination of subcellular biophysical information and their dielectrophoretic separation conditions, without the need for time-consuming algorithms that often require unknown fitting parameters. Such internal standards for biophysical cytometry can advance in-line phenotypic recognition strategies.
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Registered trials
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