Mohammad Asghari

Doctoral Student



Memo received his B.Sc. degree in Mechanical Engineering from Sharif University of Technology, Tehran, Iran. Later, he moved to Ankara, Turkey, to continue his Master studies in Material Science and Nanotechnology department (UNAM) in Bilkent University. Memo joined deMello group as a PhD student in June 2018.

His research interests are summarized below:

Cells and Extracellular Vesicles Sorting

Extracellular Vesicles

Recently it became clear that biofluids contain vesicles covering a wide range of size (50 nm to 2 um) that are naturally released from a cell. Such vesicles contain mainly proteins and nucleic acids making them great potential as biomarkers for detection of disease states. In this project, we have developed extremely simple microfluidic systems to sort and enrich vesicles based on their size. Moreover, as a part of this project, capturing and sequencing nucleic acids would be investigated for early diagnosis and prognosis of various types of cancer.


Currently one of the main challenges of cell biology is the ability to differentiate the vast heterogeneity of cells based on their size, content, and morphology. Unsurprisingly, such differences can give info about cell identity and its physiological functions. Very recent studies have demonstrated that machine learning techniques can help to sort out cells with unique structural and morphological features. Here, our goal is to integrate machine-learning technique with a simple microfluidic device for detection and isolation of cells based on their size and morphology.

Fast Kinetic Analyses

Rapid protein motion analysis

Proteins are biomolecules controlling the majority of biological functions within living cells. For instance, most metabolic processes in living cells involve chemical reactions that must be accelerated by enzymes. However, chemical structure, interaction with substrate molecules and temporal dynamics of enzymes are the key factors to reach desired chemical reaction and product release. As part of this project, we are developing platform by combining high-sensitivity optical detection systems and droplet-based microfluidics to probe conformational changes of the molecular gates and unravel the pathways through which substrate arrives at the active site.

DNA hybridization kinetics

Hybridization of complementary DNA sequences is a key molecular process in biology and biotechnology. Some of the DNA hybridization processes happen in sub-millisecond time scale which lies in limit of detection of the current commercialized devices. In this project, we are developing droplet based microfluidic device to investigate various parameters affecting hybridization rate and understand fast DNA hybridization kinetics. 

Are you interested?

We are always looking for Master and Bachelor students to taste the microfluidic world. If you are interested in one of the above topics or you have your own interesting ideas, you are more than welcome to contact us by email (,

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Inst. f. Chemie- u. Bioing.wiss.

HCI F 117

Vladimir-Prelog-Weg 1-5/10

8093 Zürich

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