Graduate School of Systemic Neurosciences GSN-LMU

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Ali Ertürk

Dr. Ali Ertürk

GSN associate faculty


Institute of Tissue Engineering and Regenerative Medicine (iTERM)


Helmholtz Zentrum München
German Research Center for Environmental Health (GmbH)
Institute for Tissue Engineering and Regenerative Medicine
Ingolstaedter Landstr. 1
D-85764 Neuherberg

Phone: +49 89 318 74-3234

Website: Twitter

Further Information

Research focus: We develop technologies to solve some of the major bottlenecks around science by developing novel imaging technologies. Our general approach to science is to combine biomedical research with artificial intelligence (AI), and nanotechnology. We also use engineering to develop tools to implement our technologies directly in the medical system.

Three major research area in our institute are:

Studying the role of skull-meninges connections we recently found (Cai...Ertürk, 2019, Nature Neuroscience)
Mapping the human brain using SHANEL transparency that we developed (Zhao...Ertürk, 2019, bioRxiv)

Implementing DeepMACT method we developed to develop better cancer treatments (Pan...Ertürk, Cell, 2019)

Tissue Engineering
Generating large-scale human tissue and organs using 3D-bioprinting technologies based on the cellular maps we can generate using our DISCO and SHANEL clearing technologies

Tissue clearing, tissue engineering, 3D-Bioprinting, light-sheet microscopy, machine learning, deep learning, gene editing, DNA nanotechnology, neuroscience, cancer, human brain mapping

Graduated: Dr. Chenchen Pan, Dr. Ruiyao Cai, Dr. Mihail Todorov

Selected publications:

  • Pan C, Schoppe O…Ertürk A. Cell. Deep learning reveals cancer metastasis and therapeutic antibody targeting in whole body. (cover of December 2019 issue)
  • Cai R, Pan C…Ertürk A. Nature Neuroscience. Panoptic imaging of transparent mice reveals whole-body neuronal connectivity and skull-meninges connections (cover of February 2019 Issue)
  • Pan, C., Cai, R…Ertürk, A. Nature Methods. Shrinkage-mediated imaging of entire organs and organisms using uDISCO. (Cover of October 2016 issue)