ArticleLab on a chip2022
Feature tracking microfluidic analysis reveals differential roles of viscosity and friction in sickle cell blood.
Article in Lab on a chip, 2022. 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, 25 citations in OpenAlex.
- A Pulsatile Flow-Modulation Microfluidic Sensor for Simultaneous Monitoring of Red Blood Cell Aggregation and Viscosity-Sensitive Time Constant.Sensors (Basel, Switzerland) · 2026Article
- Microfluidics for Blood Disorders and Hematological Disease Monitoring and Modeling.International journal of molecular sciences · 2026Review
- Micro Blood Flow-Resolved Rheometry.Micromachines · 2026Article
- Suspension physics govern the multiscale dynamics of blood flow in sickle cell disease.Science advances · 2026Article
- Sticking together: Polymerization of sickle hemoglobin drives the multiscale pathophysiology of sickle cell disease.Biophysics reviews · 2025Review
- Computational Analysis of Flow and Transport Suggests Reduced Oxygen Levels Within Intracranial Aneurysms, Especially in Individuals With Sickle-Cell Disease.Journal of biomechanical engineering · 2025Article
- Mathematical modeling of SCD: a literature review.Journal of sickle cell disease · 2025Review
- Article
- High-throughput quantification of red blood cell deformability and oxygen saturation to probe mechanisms of sickle cell disease.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- iCLOTS: open-source, artificial intelligence-enabled software for analyses of blood cells in microfluidic and microscopy-based assays.Nature communications · 2023Article
- Multiplatform analyses reveal distinct drivers of systemic pathogenesis in adult versus pediatric severe acute COVID-19.Nature communications · 2023Article
- Mathematical Analysis for the Flow of Sickle Red Blood Cells in Microvessels for Bio Medical Application.The Yale journal of biology and medicine · 2023Article
- Hyperviscosity syndromes; hemorheology for physicians and the use of microfluidic devices.Current opinion in hematology · 2022Review
- Simultaneous quantification of blood rheology and oxygen saturation to evaluate affinity-modifying therapies in sickle cell disease.Lab on a chip · 2022Article
- Fluorescence Lifetime Measurement of Prefibrillar Sickle Hemoglobin Oligomers as a Platform for Drug Discovery in Sickle Cell Disease.Biomacromolecules · 2022Article
- Cryptography-Based Medical Signal Securing Using Improved Variation Mode Decomposition with Machine Learning Techniques.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
Characterization of blood flow rheology in hematological disorders is critical for understanding disease pathophysiology. Existing methods to measure blood rheological parameters are limited in their physiological relevance, and there is a need for new tools that focus on the microcirculation and extract properties at finer resolution than overall flow resistance. Herein, we present a method that combines microfluidic systems and powerful object-tracking computational technologies with mathematical modeling to separate the red blood cell flow profile into a bulk component and a wall component. We use this framework to evaluate differential contributions of effective viscosity and wall friction to the overall resistance in blood from patients with sickle cell disease (SCD) under a range of oxygen tensions. Our results demonstrate that blood from patients with SCD exhibits elevated frictional and viscous resistances at all physiologic oxygen tensions. Additionally, the viscous resistance increases more rapidly than the frictional resistance as oxygen tension decreases, which may confound analyses that extract only flow velocities or overall flow resistances. Furthermore, we evaluate the impact of transfusion treatments on the components of the resistance, revealing patient variability in blood properties that may improve our understanding of the heterogeneity of clinical responses to such treatments. Overall, our system provides a new method to analyze patient-specific blood properties and can be applied to a wide range of hematological and vascular 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.