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Design and Optimization of an Intelligent Impedance-based Flow Cytometer for POCT Applications

Meskar, Zahra | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55477 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fardmanesh, Mehdi; Annabestani, Mohsen
  7. Abstract:
  8. Microfluidics is the science of fabricating systems interfacing fluids of small volume and size ranging from microliters (10-6) to picolitres (10-12). Due to its remarkable features, such as low sample and reagent consumption, high sensitivity, low cost, automated devices, and short experimental time, microfluidic chips have been widely used as laboratory assays. As a term often used and described in “lab on a chip” and “organ on a chip” technologies, microfluidic chips have been used in the fast and frugal diagnosis of infectious diseases such as HIV, microscale surgery on single cells and tiny organisms and cell culture.The design, simulation, optimization, and fabrication of an intelligent impedance-based microfluidic chip for POCT applications are studied throughout this thesis. A microchannel with three multi-directional electrode pairs in different orientations (vertical, diagonal, horizontal) has been simulated in COMSOL. An adequate amount of data has been provided with a NARX-based surrogate model to verify the capability of classifying the time series data of polystyrene beads passing through the microchannels. Generated data were then used in conventional classifiers and deep neural networks. It has been shown that the impedance time series of beads of various sizes can be used to count the number of beads passing through the channel. The mean accuracy of the classifiers used is 94.74%. Thus, by fabricating a chip and recording enough data, the system can predict the size and the number of particles entering the detection region.Finally, a novel approach for the fabrication of ABS or PLA 3D-printed molds in which the main chip is accommodated is presented. The chip comprises a simple straight 100-micron channel with three copper electrode pairs, each at a different orientation (vertical, diagonal, horizontal), similar to the simulations. The presented fabrication procedure does not take much time and is economically viable. The fabricated chip’s performance has been tested several times. Lastly, the signals and corresponding data are also presented
  9. Keywords:
  10. Machine Learning ; Microrheology ; Impedance Flowcytometry ; Point-Of-Care Detection ; Flowcytometry ; Microfluidic System ; Point of Care Diagnosis Systems

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