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SINGLE CELL BIOTECHNOLOGY LAB @ GT
bioimaging biodynamics biocomputation

Imaging one cell at a time for spatial context

We are multi-disciplinary researchers interested in photons, ions, and electrons and their interactions with cells. Using large-scale experiments and computational analysis, we address fundamental challenges in infections, cancers, and immunology.
      In a nutshell, we create image-based ‘omic technologies to reveal spatial nature of biological systems. We benefit from enabler tools: Super-resolution bioimaging, barcoded biochemical reagents, advanced algorithms and automated microfluidics. Topical interests include Spatial Biology. Our lab is currently funded by NIH K25, BWF CASI, Georgia Tech & Emory..
      Translation of our spatial data to clinics enables precision medicine with biomarker discovery and patient-specific therapies. Pediatric diseases, immune dysregulation, and cancers leverage our quantitative spatial mapping solutions.

NEWS

[December, 2019] Mayar, Shuangyi, Mythreye, Shambavi, Zexing and Saurabh joined the lab as graduate researchers. Stay tuned for their exciting projects at GT!

We are hiring prospective students, postdoctoral scholars, and technical assistants.
Prospective candidates should email their resume and interests to "ahmet.coskun@bme.gatech.edu"

Technologies for Spatial Bioengineering

Image-based interrogation of molecular distributions have been widely used in biology, but with limited number of markers due to the color limitations of the microscopes. However, cellular decisions are guided by interactions of at least 20,000 protein-coding genes and their downstream and upstream protein factors. This large number of molecular maps has been studied by single-cell RNA sequencing or mass spectrometer, but the spatial details of positions of cells in complex tissues have been lost during the measurements.

Our research team aims to bridge this gap by developing multiplex image barcoding to visualize and quantify many transcripts, proteins, and metabolites at the molecular scale.

Our team develops purpose-driven multiplex bioimaging technologies that can visualize two/three-dimensional (2D/3D) spatial heterogeneity of biological systems at the single cell and subcellular level.