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A 3D metaphase model reconstructed from confocal images of HeLa cells. The colors identify different elements/proteins important for mitosis.
Superresolution image of a nuclear pore (right) labeled with an antibody against the Nup107-160 complex. The image is gradually built up by localizing the centers of individual fluorophores switching between light-emitting and dark state (left).

Embryonic preimplantation development: Tracking of all cells throughout the first mitotic divisions from zygote to blastocyst stage (8- to 16-cell division shown here) using an inverted light-sheet microscope. Nuclei (H2B) are overlaid with spheres showing cell position, indicating trophoectoderm (TE; blue) or inner cell mass (ICM; red) fate.


  • December 2015 - New Publication

    Inverted light-sheet microscope for imaging mouse development
    Strnad and coworkers developed a new microscope to image mouse embryos from zygote to blastocyst and software for complete tracking and reconstruction of lineage trees to investigate cell fate decisions.

  • December 2015 - Feature on SPIM

    SPIM doctors
    Any high school student has probably watched little bugs bumping around under a microscope. Looking inside those organisms is trickier, but EMBL scientists continue to push the boundaries of what microscopes can do.

  • Web Resource

    In the link below from the iBioseminar website, watch Jan Ellenberg explaining how to perform high throughput content imaging screening with an update on the recent technologies developed in our lab and EMBL.

Introduction to the Group and its Research

Our group is an international interdisciplinary team drawing its members from biology, physics, chemistry, computer science, and engineering. The overarching theme of the lab is to understand the molecular mechanism of the nuclear division cycle in a comprehensive manner in the physiological context of the intact living cell. To achieve this we develop and use a braod range of fluorescence-based imaging technologies to assay the functions of the involved molecular machinery non-invasively, automate imaging to address all its molecular components and computationally process image data to extract biochemical and biophysical parameters in order to generate mechanistic understanding and predictive models. Our biological questions are currently focused on three areas.