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Displaying posts with the tag: is_archive

Technology highlights – Structured Illumination Microscopy (SIM)

Posted by , on 30 September 2020

Interview with Ivan Novotný, Ph.D., from the Light Microscopy Core facility at the Institute of Molecular Genetics, in Prague, Czech Republic. Please tell us a bit about yourself and the facility where you work. I am employed as an imaging specialist at the Light Microscopy Core facility at the Institute of Molecular Genetics of the

Light microscopy core facility support specialist, Biomedicum Imaging Unit, University of Helsinki, Finland

Posted by , on 15 September 2020

We are looking for a highly motivated Laboratory Engineer / light microscopy core facility support specialist for the Biomedicum Imaging Unit at the University of Helsinki, Faculty of Medicine.  You would be joining a team of four support personnel and strengthening our capability to offer light microscopy and image analysis support for a community of

Bioimage Analysis in FIJI - Resource List

Posted by , on 14 September 2020

If you are on this site, you might be aware of some of the open source image processing and analysis tools are available to you. The toolbox in this space is rapidly expanding. But that doesn’t always mean it’s easy to navigate – it can actually be quite daunting. Luckily the bio-imaging community is friendly

LSFM series – Surfing on the data freak wave! PART I: Knowing your turf, knowing your surf!

Posted by , on 5 September 2020

Here we present a series of five blog posts with tips and tricks about light sheet microscopy. 1. The basics of LSFM (Sept 2020) 2. Improving sample mounting (Oct 2020) 3. Calibration and Acquisition (Nov 2020) 4. Tailoring the data (Dec 2020) 5. What is next? AI and smarter than us LSFM (Jan 2021)

Primers on Microscopy for Biologists - Resolution

Posted by , on 15 July 2020

Formal definitions of resolution refer to imaginary objects such as infinitely small sources of light. I will avoid those and instead try to provide a pragmatic explanation. Practically, the spatial resolution is the size of the smallest structure that can be distinguished in the light coming from a specimen. All sensors and components of the