Laghu Lab .   Research  ·  About  ·  Lab  ·  Etc

We are interested in the efficient and accelerated data collection and analysis from biological systems.

Publications, repository and job openings

Publications can be found on google scholar. The group’s repository is located at laghulab.

Please enquire by email on any of the projects described here. Your email should list your objectives and specific interest in the project.

Microfluidics Large Scale Integration

Since its demonstration in 2002, MLSI have contributed significantly to leading edge biology. The key component in the demonstration was the Quake valve, which is a fluidic analog of transisters. By integrating many of these valves on a chip, a MLSI system can provide high throughput manipulation of single cells or their contents. Our work is focused on further improving the integration/scalability, efficiency and ultimately, the cost. Funded by: IITH.

Nanopores as Molecular Filters

Nanopores in graphene, and 2D materials in general, offer unique setting for exploring movement of molecules in confined spaces. The pores can be used to control that movement. This project uses electrical control, which offers a larger and more accessible parameter space compared to existing approaches. Funded by: Nanomission, DST.


The behaviour of fluids at nanoscales is different from that of bulk due to influence of several factors which become prominent at those scales. Graphene lined nanochannels (GNCs) were conceived to fill this need. These are nanochannels whose inside walls have a layer of graphene. In a geometric sense, they can be considered as CNTs with controlled dimensions. Earlier, we have shown that GNCs display ultra-high diffusion near the walls. Currently, we are working on novel devices using that effect.

Digital Pathology with Deep Learning

DL is a good fit for automation of human expertise, which is not well coded. We are exploring its use for classification of digital pathology images.

Projects for UG/Interns

Our group is interested in designing hardware and software to improve experimental setups. These projects can be good starting point for UG students and/or interns to get their feet wet.