Innovative Technology and Methods. 

We are highly interested in biomedical technique development to improve the performance of measurement and analysis tools. We leverage interdisciplinary approaches combining experimental and computational schemes.

  • How to rapidly screen cells and molecules. We revisit the design of imaging technologies. Particularly, we devise lensless/lensfree microscopes (Greenbaum et al. Nature Methods, 2012).
  • How to personalize experiments. We convert common technology (cellphone, scanners, and digital cameras) to image bodily fluids such as urine and blood (Ozcan, Lab Chip, 2014).
  • How to multiplex molecular types with single cell sensitivity. We use color barcoding to identify many molecular identities such as RNAs and Proteins (Lubeck & Coskun et al. Nature Methods, 2014)
  • How to resolve molecular crowds. We leverage computational imaging and decoding to measure the density of e.g., RNA molecules in mammalians (Coskun et al. Nature Methods, 2016)

Deciphering Cellular Features in Biology.

We are motivated to leverage novel homegrown methods for discovery of cell types, cell to cell interactions, and environmental regulators in developing multi cellular organisms.

  • How to define identity of each cell type. We explore cellular identity formation theories. Specifically, single cell molecular profiles decode signatures of each cellular unit ( Coskun et al. Molecular BioSystems, 2016)
  • How to achieve spatial genomics. We assign molecular maps to each cell type that is located at a specific location in tissue samples.
  • How to obtain a cellular atlas for mammalians.

Exploring Cellular Ecology in Medicine.

We are dissecting the role of cells in tumor microenvironment to develop better immunotherapy methods for blood and breast cancers.

  • How to map immune-cancer interfaces. We focus on signaling molecules both at the surfaces and intracellular markers to define cellular social networks.
  • How to achieve spatial proteomics. We design algorithms and imaging solutions to map out contents of subcellular compartments in tumors.
  • How to classify molecular subtypes. We develop bioinformatics approaches to decode interaction spaces for precision therapies.