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Design and Fabrication of Impedance Flowcytometric based Microfluidic Sorter

Esmaeili Dokht, Pouria | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54220 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fardmanesh, Mehdi
  7. Abstract:
  8. Microfluidic technology is a field of science that deals with the design, fabrication, and experimental tests of small-scale fluid systems and has made great strides over the past decade. As an interdisciplinary field, this growing field of technology has many applications in medicine, diagnostics, chemical analysis, electronics industry, etc. One of the primary applications of the microfluidic devices is the development of " laboratory on-chip (LOC)" tools as point-of-care (POC) diagnostic tools, such as, rapid detection during surgery. A LOC device includes various application modules, sample transfer and preparation modules, separation modules, and detection and analysis modules. The separation module has become one of the main goals of the field of research related to microfluidic devices, i.e., separation, and sorting of small particles. Using the unique characteristics of fluid flow-dependent phenomena at the micron scale, various methods have been developed for the rapid and accurate separation and continuous sorting of microorganisms.In this research, at first, by examining various methods of making microfluidic devices, a cheap and fast method for producing active and passive devices has been proposed. Then, using hydrodynamic forces inside the Channel, a microfluidic sorter was designed to isolate red blood cells and tested by an adult human blood sample. Then an intelligent particle counting method has been introduced in the microfluidic channel and has been simulated by Comsol software. The intelligent algorithm is trained by the data received from the simulation, and the result is reported. Finally, the simulated active flow cytometer chip is made using the methods mentioned in subsequent sections
  9. Keywords:
  10. Microfluidic System ; Bioparticles ; Machine Learning ; Flowcytometry ; Simulation ; Microfluidic Sorter

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