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SVI imaging partner in leading-edge Nanoscope Science Project (2012-2016)

The Dutch Technology Foundation (STW) awarded a consortium of scientists and companies in The Netherlands among them Huygens SVI with an "STW-perspectief programme". The aim of this program is to make modern nanoscopy technology broadly applicable in biomedical research. Nanoscopy is also known as super-resolution microscopy as it defeats the 'Von Abbe' limit allowing no better resolution than around 250 nm.

With the Huygens deconvolution software the 'Von Abbe' limit is already challenged as three- or fourfold resolution increases are normal. In a sub-standard situation 22 nm was easily obtained with the new superresolution microscope, STED 22 nm deconvolution,and the Huygens software.

The aim is to develop new technologies that enable full implementation of nanoscopy in biomedical research. Program leader Prof. Erik Manders (Leeuwenhoek Centre for Advanced Microscopy, Amsterdam) believes that within 10 years nanoscopy will become the standard technique with important consequences for biomedical research, health care and the high-tech industry. Huygens SVI is involved to monitor the quality of the imaging environment.

In this program, 12 positions are available for enthusiastic and talented PhD students and post-docs who like to contribute to the next step in advanced microscopy: "biomedical nanoscopy". Candidates with a background ranging from engineering, physics and (bio)chemistry to cell biology and molecular biology are encouraged to send their CV, motivation-letter according to the directions mentioned on the website STW-nanoscopy.nl (external link) . (Source Prof. Dr. Erik Manders)

Find great traineeships with SVI at Internships

EU Framework 6 projects


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Scientific Volume Imaging not only develops software applications but also participates in research of scientific projects. SVI worked with various scientific institutes in these FP6 research projects between 2002 and 2006:

Automation (Completed)


Major research topic: research into diminishing one critical constraint of established techniques namely that samples must be stabilised by attachment to an optically transparent surface.Non-adherent cell types therefore fall outside this range.

The severity of this limitation becomes clear when one considers that for basic- and biomedical-research, cell-based assay and cell-diagnostic applications some of the most important targets are non-adherent cells, for example, stem cells, systemic cancer cells and lymphocytes. The aim of the project was to built a completely new 3D imaging strategy targeted specifically at live, non-adherent cells.

The core technology combines proprietary state of the art hardware for suspended cell manipulation with super high-speed dynamic imaging methods. Around this, our consortium draws together unique expertise from four SME and three academic teams providing the necessary critical-mass to industrialize this methodology as 1) a routine research-bench tool, and 2) a high-throughput, high-content imaging device AUTOMATION (automated tomographic analysis station).

See also the Micro Rotation Workbench to learn more about the methods developed.

3DGenome (Completed)


Our knowledge about gene regulation at the single gene and the epigenetic levelhasrapidly expanded. However, at the turn of the millenium our understanding of the role in gene control of the three-dimensional folding of the genome in the cell nucleus, was poorly understood; this despite the fact that considerable evidence was available showing that large-scale chromatin organization played an important role in gene control in higher eukaryotes.

The 3Dgenome consortium members developd state-of-the-art 3D light microscopy techniques, along with image processing and analysis tools to visualise DNA inside the cell. They correlated the genome's 3D structure with the expression of specific genes in human, mice and drosophila cells. Using this range of model systems helped establish which aspects of the 3D genome structure have been conserved through evolution and which are most likely to play an important role in gene regulation.