ArticleMicromachines2018
Multiple and Periodic Measurement of RBC Aggregation and ESR in Parallel Microfluidic Channels under On-Off Blood Flow Control.
Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 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
- Peritoneal pre-conditioning impacts long-term vascular graft patency and remodeling.Biomaterials advances · 2023Article
- Biomechanical Assessment of Red Blood Cells in Pulsatile Blood Flows.Micromachines · 2023Article
- Advances in Microfluidics for Single Red Blood Cell Analysis.Biosensors · 2023Review
- Analysis of Polarization Images in the Microphysical Blood Parameters Research for the Hematocrit Diagnostics.Micromachines · 2022Article
- Contributions of Red Blood Cell Sedimentation in a Driving Syringe to Blood Flow in Capillary Channels.Micromachines · 2022Article
- Experimental Investigation of Air Compliance Effect on Measurement of Mechanical Properties of Blood Sample Flowing in Microfluidic Channels.Micromachines · 2020Article
- Microfluidic-Based Biosensor for Blood Viscosity and Erythrocyte Sedimentation Rate Using Disposable Fluid Delivery System.Micromachines · 2020Article
- A portable rotating disc as blood rheometer.Biomicrofluidics · 2019Article
- Editorial for the Special Issue on Micro/Nano Devices for Blood Analysis.Micromachines · 2019Article
- Microfluidic-Based Biosensor for Sequential Measurement of Blood Pressure and RBC Aggregation Over Continuously Varying Blood Flows.Micromachines · 2019Article
- A Disposable Blood-on-a-Chip for Simultaneous Measurement of Multiple Biophysical Properties.Micromachines · 2018Article
- Microfluidic-Based Technique for Measuring RBC Aggregation and Blood Viscosity in a Continuous and Simultaneous Fashion.Micromachines · 2018Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Red blood cell (RBC) aggregation causes to alter hemodynamic behaviors at low flow-rate regions of post-capillary venules. Additionally, it is significantly elevated in inflammatory or pathophysiological conditions. In this study, multiple and periodic measurements of RBC aggregation and erythrocyte sedimentation rate (ESR) are suggested by sucking blood from a pipette tip into parallel microfluidic channels, and quantifying image intensity, especially through single experiment. Here, a microfluidic device was prepared from a master mold using the xurography technique rather than micro-electro-mechanical-system fabrication techniques. In order to consider variations of RBC aggregation in microfluidic channels due to continuous ESR in the conical pipette tip, two indices (aggregation index (AI) and erythrocyte-sedimentation-rate aggregation index (EAI)) are evaluated by using temporal variations of microscopic, image-based intensity. The proposed method is employed to evaluate the effect of hematocrit and dextran solution on RBC aggregation under continuous ESR in the conical pipette tip. As a result, EAI displays a significantly linear relationship with modified conventional ESR measurement obtained by quantifying time constants. In addition, EAI varies linearly within a specific concentration of dextran solution. In conclusion, the proposed method is able to measure RBC aggregation under continuous ESR in the conical pipette tip. Furthermore, the method provides multiple data of RBC aggregation and ESR through a single experiment. A future study will involve employing the proposed method to evaluate biophysical properties of blood samples collected from cardiovascular diseases.
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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.