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Welcome to deMello Group to perform your student projects. There are constantly open projects for bachelor and master students. You can either follow an ongoing research project or define a new project in discussion with a mentor in deMello Group. Here we list some of the currently available student projects (topics). For more possibilities, you can ask by email or visiting our lab.

The High-throughput Microfluidic Platform for Massively Parallel Single-cell Genome Sequencing

Studying cellular heterogeneity provides insights into the diverse cell populations within tumors, contributing to cancer progression, adaptability, and resistance to treatment. Single-cell genome sequencing is a powerful tool for revealing cell-to-cell heterogeneity in many complex biological systems and identifying stochastic genomic changes in time and position, including copy number variation (CNV), single-nucleotide variations (SNVs), and structural variations. However, tens to hundreds of single cells are not enough to discover rare variants that may evolve into significant disease progression. To address this challenge, we developed a high-throughput microfluidic strategy from cells to library to realize massive single-cell genome sequencing with high coverage and accuracy. In this project, you will play with advanced microfluidic controls, explore colorful molecular processes, and create beautiful gene maps.

Welcome to join the project. It would be great if you could have a basic knowledge of bioinformatics, chemistry, and biology.

Contact person

Nan Zong

Building Artificial Cell on a Chip

Building a cell from scratch has been a study hot point for decades. Microfluidics offers a potential way to build cell-like structures with specific functions. This could help people efficiently understand what happened in a cell. In this project, the student will play with the vesicle to build the artificial cell in steps. Different chip structures will be designed depending on applied physic fields. Simulation and experiment will be combined to get a deep understanding of building artificial cells.


To join this project, you should at least equipped with basic simulation skill, like Comsol. Also, basic chemistry and biology knowledge is required for this project. It would be better if you also have a strong background working on protein or lipids.

Contact person

Chao Song

Magnetic Microrobots & Microfluidics

Microrobots manipulation by different physic fields have been widely studied by researchers in last decades, and it is still a hot point. The ability microrobots can be precisely controlled at microscopic scale has been demonstrated. However, how to scale up the fabrication of the microrobots and bring them close to the real application is still a problem. Microfluidics could be a solution, since it is born with the virtue to product tiny scale particles in high throughput. Here, we aim to combine magnetic microrobots with microfluidic fabrication to make them be able to be used for some applications. In this project, the student will learn how to fabricate this microrobot and develop the potential functions of them.


To join this project, you should know or have work experience on cells, basic simulations (molecular dynamics or magnetic field simulation). An strong ability in simulation or biology (protein/lipids) would be more helpful to this project.


Contact person

Chao Song

Paper-Based Digital Diagnostics via Micropatterned Proteins

What? Digital diagnostics are a relatively new technology where tens of thousands of independent tests are done in tiny constrained areas and read as either a true or false and then interpreted together using Poisson statistics to infer disease markers like viral load. They are ultra-sensitive and have lower limits of detection than other technologies.


Why? Diagnosis is a key step in the treatment process, and improving diagnostic technology has shown outsized positive effects in personal health and population health (a lesson underscored by the COVID-19 pandemic). However, recent gains require robust infrastructure and thus have disproportionately benefited developed countries.


How? This project maximizes impact by focusing on the translation of digital diagnostic techniques to paper-based microfluidic substrates for use in resource-constrained locations. Specifically, the focus is on the protein micropatterning to make the individual “compartments” which are key to the digital analysis. The student will extend work which was already done with streptavidin patterning to other proteins, testing both the pattern stamping parameters as well as the capacity of the deposited proteins to be functionalized for the biological assay.


More details see here

Contact person

Nathan Khosla

Spatial Mapping of Tissue Sections

In this work, we propose using a microfluidic probe (MFP) to quantify heterogeneity in tissue sections by periodic sampling and spatial mapping of the tissue section.


Tumors, as all biological organisms, provide a wide range of variability in their structure and expression. This variability manifests itself in the macro scale – the morphology itself, and also in the micro-scale – the difference in molecular expression. These molecular variations are expressed as inter-tumor and intra-tumor heterogeneities. Traditional gold standard technique of tumor analysis – immunohistochemistry (IHC) provided an elegant staining method but is limited by being an end-point assay and is used to provide one data point for the whole tissue. Averaging out all heterogeneity information in the entire tissue section leads to loss of important diagnostic information. A recently developed workflow, called GeneScape (Voithenberg et. al., Small, 2021), allows localized analysis while preserving spatial information.


We propose to extend the workflow to parallelize sample collection and subsequent analysis. Adapting sample collection techniques to existing workflows will further allow easy acceptance and adoption of the proposed technique in general practice. The application of spatial information in tumor heterogeneity will be in basic research and clinical use to adapt tumor therapy based on molecular heterogeneity.

Contact person

Prerit Mathur

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