ArticleAmerican journal of hematology2019
Integrated automated particle tracking microfluidic enables high-throughput cell deformability cytometry for red cell disorders.
Article in American journal of hematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 35 citations in OpenAlex.
- Microfluidics for Blood Disorders and Hematological Disease Monitoring and Modeling.International journal of molecular sciences · 2026Review
- Microfluidic capillary transit velocity as a functional measure for sickle cell disease andLab on a chip · 2026Article
- Surface acoustic wave hemolysis assay for evaluating stored red blood cells.Lab on a chip · 2026Article
- Microfluidic Chip Platforms for Red Blood Cell Storage Lesion Quality Control and Precision Transfusion.Research (Washington, D.C.) · 2026Review
- Article
- Advances in Microfluidics for Single Red Blood Cell Analysis.Biosensors · 2023Review
- Hyperviscosity syndromes; hemorheology for physicians and the use of microfluidic devices.Current opinion in hematology · 2022Review
- Microfluidic methods to advance mechanistic understanding and translational research in sickle cell disease.Translational research : the journal of laboratory and clinical medicine · 2022Review
- Article
- Article
- Normalization of Blood Viscosity According to the Hematocrit and the Shear Rate.Micromachines · 2022Article
- Microfluidics Approach to the Mechanical Properties of Red Blood Cell Membrane and Their Effect on Blood Rheology.Membranes · 2022Article
- Editorial: Red Blood Cell Vascular Adhesion and Deformability, Volume II.Frontiers in physiology · 2022Article
- Vascularized Microfluidics and Their Untapped Potential for Discovery in Diseases of the Microvasculature.Annual review of biomedical engineering · 2021Review
- Microfluidic electrical impedance assessment of red blood cell-mediated microvascular occlusion.Lab on a chip · 2021Article
- Deformability of Stored Red Blood Cells.Frontiers in physiology · 2021Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Investigating individual red blood cells (RBCs) is critical to understanding hematologic diseases, as pathology often originates at the single-cell level. Many RBC disorders manifest in altered biophysical properties, such as deformability of RBCs. Due to limitations in current biophysical assays, there exists a need for high-throughput analysis of RBC deformability with single-cell resolution. To that end, we present a method that pairs a simple in vitro artificial microvasculature network system with an innovative MATLAB-based automated particle tracking program, allowing for high-throughput, single-cell deformability index (sDI) measurements of entire RBC populations. We apply our technology to quantify the sDI of RBCs from healthy volunteers, Sickle cell disease (SCD) patients, a transfusion-dependent beta thalassemia major patient, and in stored packed RBCs (pRBCs) that undergo storage lesion over 4 weeks. Moreover, our system can also measure cell size for each RBC, thereby enabling 2D analysis of cell deformability vs cell size with single cell resolution akin to flow cytometry. Our results demonstrate the clear existence of distinct biophysical RBC subpopulations with high interpatient variability in SCD as indicated by large magnitude skewness and kurtosis values of distribution, the "shifting" of sDI vs RBC size curves over transfusion cycles in beta thalassemia, and the appearance of low sDI RBC subpopulations within 4 days of pRBC storage. Overall, our system offers an inexpensive, convenient, and high-throughput method to gauge single RBC deformability and size for any RBC population and has the potential to aid in disease monitoring and transfusion guidelines for various RBC disorders.
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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.