Student Projects

Scientific Assistant: Muaz Draz  e-mail: [email protected]

Project Type: Master Thesis/Semester Project Section: Microengineering

Timeframe: Master Thesis (5-6 months full-time), Semester Project (2-4 months part-time),

Official Start Date: 2021/2022

Description: The Laboratory of Microsystems 2 is offering a master (semester) project related to the development of microfluidic systems for cancer diagnostics. The lab has long history with developing microfluidic systems for Immunohistochemistry (IHC) and In Situ Hybridization (ISH) techniques for rapid, accurate, and costeffective cancer diagnostics. Several  references [1, 2] give an overview of the work done. Simply, a tissue biological sample is loaded on a charged glass slide which is then incubated inside a microfluidic system that handles all the fluidic delivery and waste. See Figure 1 (left & right). Immunoreactions such as IHC and ISH inside microfluidic systems usually suffer from diffusion-limited transport of bioreagents inside the reaction chamber. Recently, we have been working on integrating AC elektrokinetic mixing technologies [3] that enhance the accuracy and improve the speed while possibly reducing the cost of such analysis.

Figure 1. Left: microfluidic system & chamber design with fluid handling [1] Right: The whole microfluidic tissue processor device [2].

Student Gain: The student (master or semester project) will gain a multidisciplinary experience in microfluidic chip realization, simulation, image analysis, cancer diagnostic techniques and bio-image analysis.

  • Simulation: Physics simulation of AC elektrokinetics and correlation with experimental results.
  • Integrating glass substrates into the microfluidic tissue processor and setting up electronic connections.
  • Carrying out IHC and ISH experiments on biological samples and results analysis.
  • For a master project, possibility to carry out clean room fabrication.

Required skills:

  • Understanding of clean room fabrication methods and microfluidics basics.
  •  Preferably, basic knowledge of Comsol simulation.
  •  Basic lab skills such as buffer preparation, dilutions, pipetting…. etc

For those interested for master/semester project or need more information, please contact us at [email protected]

[1]  Tuna et al, PNAS April 2, 2013 110 (14) 5363-5368, https://doi.org/10.1073/pnas.1211273110

[2]  Migliozzi, D. et al. Microsyst Nanoeng 5, 59 (2019). https://doi.org/10.1038/s41378-019-0104-z.

[3] H. C. Feldman , M. Sigurdson and C. D. Meinhart , Lab Chip, 2007, 7 , 1553 —1559, https://doi.org/10.1039/B706745C

Timeframe

Master Thesis (5-6 months full-time), Internship (2-6 months full-time) or Semester Project (2-4 months part-time)

Contact

Fabien Tâche ([email protected])

Description

The Laboratory of Microsystems (LMIS2) is developing an innovative laboratory device for drug discovery research. The technology employs robotics and computer vision for the automated culture and analysis of micro-organisms within microfluidic chips, as powerful biological models to investigate human diseases and test their potential cures. In this framework, we look for students to contribute to the development of the following microfluidics components:

• Highly-integrated distribution valves with a high number of outputs

• High resolution syringe pumps

• New generation of microfluidic chips, including the optimization of the manufacturing process

The aim of this project is to design one (or several) of the devices listed above, manufacture them, and characterize their performances. If the implementation is successful, the devices will be integrated in the existing robotic platform and used for experiments on C. elegans.

The overall project holds great potential to represent a breakthrough in biomedical research and, as such, resides at the core of a startup project (Nagi Bioscience).

Timeframe

Master Thesis (5-6 months full-time), Internship (2-6 months full-time) or Semester Project (2-4 months part-time)

Contact

Fabien Tâche ([email protected])

Description

The Laboratory of Microsystems (LMIS2) is developing an innovative laboratory device for drug discovery research. The technology employs robotics and computer vision for the automated culture and analysis of micro-organisms within microfluidic chips, as powerful biological models to investigate human diseases and test their potential cures. In this framework, we look for students to contribute to the development of experimental protocols and run biological assays. This includes the following tasks:

• Definition of experimental protocols

• Implementation and optimization of protocols (manipulation of C. elegans using microfluidics, feeding of worms, control of worm chamber temperature, …)

• Perform biological assays to validate the technology and protocols

This project is highly multidisciplinary, because it is at the interface of technology, life sciences and entrepreneurship.

The overall project holds great potential to represent a breakthrough in biomedical research and, as such, resides at the core of a startup project (Nagi Bioscience).

Timeframe

Master Thesis (5-6 months full-time), Internship (2-6 months full-time) or Semester Project (2-4 months part-time)

Contact

Fabien Tâche ([email protected])

Description

The Laboratory of Microsystems (LMIS2) is developing an innovative laboratory device for drug discovery research. The technology employs robotics and computer vision for the automated culture and analysis of micro-organisms within microfluidic chips, as powerful biological models to investigate human diseases and test their potential cures. In this framework, we look for students to contribute to the development of a tracking and analysis software. This project includes the following tasks:

• Implementation of worm tracking algorithms

• Implementation of a worm phenotype analysis software

• Characterization, optimization and validation of algorithms

• Implementation of a graphical user interface (GUI) displaying the results of automated analysis

This project requires good software development and image processing skills. Machine learning knowledge is a plus.

The overall project holds great potential to represent a breakthrough in biomedical research and, as such, resides at the core of a startup project (Nagi Bioscience).