Microfluidic Flow Cells: Modelling and Experiments

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B:Biology and Biomedicine".

Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 7630

Special Issue Editor


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Guest Editor
Biomedical Modeling & Computation Group, University of Zilina, Zilina, Slovakia
Interests: computational biomedical modelling; blood flow modelling; cell membrane modelling; cell biomechanics; lattice-Boltzmann method; cell manipulation microfluidics

Special Issue Information

Dear Colleagues,

Microfluidics has been widely adopted by biological and biomedical research fields, including but not limited to lateral flow tests, mixing, or cell sorting. Due to the very nature of the problems, in the design phase, the microfluidic applications may greatly benefit from simulations. Additionally, computational models of fluidic systems involving the flow of cells and their manipulation may lead to computer-aided discovery. Models cannot replace experiments with real cells, but they can demonstrate whether or not a proposed mechanism is sufficient to produce an observed phenomenon. 

For the successful development and use of computational models of cell flow, a robust validation phase—often based on data from real biological experiments—must be provided for each model. Later, the results of the computations are often used for the design of further experiments. In any case, computational models of biological cells must be tightly linked to real biological experiments with cells. 

To make this link, it is crucial to have very detailed information about the models as well as about the experiments. This Special Issue seeks to showcase research papers, short communications, and review articles that focus on all aspects of the relation between the cell computational models and the real biological experiments. In addition to the papers dealing with the development and application of computational models, we also encourage the publication of works that deal solely with experiments. Such papers should however contain detailed information on the experimental setup, including fluidic settings.

Prof. Dr. Ivan Cimrák
Guest Editor

Manuscript Submission Information

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Keywords

  • Blood cell models
  • Tumor cell models
  • Microfluidics
  • Cell manipulation
  • Cell sorting
  • Cell flow experimental data

Published Papers (2 papers)

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Research

19 pages, 3196 KiB  
Article
Novel Platform for Regulation of Extracellular Vesicles and Metabolites Secretion from Cells Using a Multi-Linkable Horizontal Co-Culture Plate
by Takeo Shimasaki, Satoko Yamamoto, Risa Omura, Kagenori Ito, Yumiko Nishide, Hideki Yamada, Kazumi Ohtomo, Tomo Ishisaka, Keiichiro Okano, Takenori Ogawa, Hiroyuki Tsuji, Yoichi Matsuo, Toshinari Minamoto, Naohisa Tomosugi, Etienne Ferain and Takahiro Ochiya
Micromachines 2021, 12(11), 1431; https://doi.org/10.3390/mi12111431 - 21 Nov 2021
Cited by 4 | Viewed by 4132
Abstract
Microfluidics is applied in biotechnology research via the creation of microfluidic channels and reaction vessels. Filters are considered to be able to simulate microfluidics. A typical example is the cell culture insert, which comprises two vessels connected by a filter. Cell culture inserts [...] Read more.
Microfluidics is applied in biotechnology research via the creation of microfluidic channels and reaction vessels. Filters are considered to be able to simulate microfluidics. A typical example is the cell culture insert, which comprises two vessels connected by a filter. Cell culture inserts have been used for years to study cell-to-cell communication. These systems generally have a bucket-in-bucket structure and are hereafter referred to as a vertical-type co-culture plate (VTCP). However, VTCPs have several disadvantages, such as the inability to simultaneously observe samples in both containers and the inability of cell-to-cell communication through the filters at high cell densities. In this study, we developed a novel horizontal-type co-culture plate (HTCP) to overcome these disadvantages and confirm its performance. In addition, we clarified the migration characteristics of substances secreted from cells in horizontal co-culture vessels. It is generally assumed that less material is exchanged between the horizontal vessels. However, the extracellular vesicle (EV) transfer was found to be twice as high when using HTCP. Other merits include control of the degree of co-culture via the placement of cells. We believe that this novel HTCP container will facilitate research on cell-to-cell communication in various fields. Full article
(This article belongs to the Special Issue Microfluidic Flow Cells: Modelling and Experiments)
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17 pages, 5051 KiB  
Article
Modeling Red Blood Cell Viscosity Contrast Using Inner Soft Particle Suspension
by Alžbeta Bohiniková, Iveta Jančigová and Ivan Cimrák
Micromachines 2021, 12(8), 974; https://doi.org/10.3390/mi12080974 - 18 Aug 2021
Cited by 4 | Viewed by 2567
Abstract
The inner viscosity of a biological red blood cell is about five times larger than the viscosity of the blood plasma. In this work, we use dissipative particles to enable the proper viscosity contrast in a mesh-based red blood cell model. Each soft [...] Read more.
The inner viscosity of a biological red blood cell is about five times larger than the viscosity of the blood plasma. In this work, we use dissipative particles to enable the proper viscosity contrast in a mesh-based red blood cell model. Each soft particle represents a coarse-grained virtual cluster of hemoglobin proteins contained in the cytosol of the red blood cell. The particle interactions are governed by conservative and dissipative forces. The conservative forces have purely repulsive character, whereas the dissipative forces depend on the relative velocity between the particles. We design two computational experiments that mimic the classical viscometers. With these experiments we study the effects of particle suspension parameters on the inner cell viscosity and provide parameter sets that result in the correct viscosity contrast. The results are validated with both static and dynamic biological experiment, showing an improvement in the accuracy of the original model without major increase in computational complexity. Full article
(This article belongs to the Special Issue Microfluidic Flow Cells: Modelling and Experiments)
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