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A Guide to Fluorescence Lifetime Imaging Microscopy (FLIM)
The fluorescence lifetime is a measure of how long a fluorophore remains on average in its excited state before returning to the ground state by emitting a fluorescence photon.
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TauInteraction – Studying Molecular Interactions with TauSense
Fluorescence microscopy constitutes one of the pillars in life sciences and is a tool commonly used to unveil cellular structure and function. A key advantage of fluorescence microscopy resides in the…
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Find Relevant Specimen Details from Overviews
Switch from searching image by image to seeing the full overview of samples quickly and identifying the important specimen details instantly with confocal microscopy. Use that knowledge to set up…
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How to Prepare your Specimen for Immunofluorescence Microscopy
Immunofluorescence (IF) is a powerful method for visualizing intracellular processes, conditions and structures. IF preparations can be analyzed by various microscopy techniques (e.g. CLSM,…
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Fluorescent Dyes
A basic principle in fluorescence microscopy is the highly specific visualization of cellular components with the help of a fluorescent agent. This can be a fluorescent protein – for example GFP –…
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How Artificial Intelligence Enhances Confocal Imaging
In this article, we show how artificial intelligence (AI) can enhance your imaging experiments. Namely, how Dynamic Signal Enhancement powered by Aivia improves image quality while capturing the…
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Spectroscopic Evaluation of Red Blood Cells
Hemoglobinopathies are a major healthcare problem. This study presents a possible diagnostic tool for thalassemia which is based on confocal spectroscopy. This approach exploits spectral detection and…
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Visualizing Protein Degradation and Aggregation in the Living Cell
Our guest speaker, Prof Dr Eric Reits, presents his work on neurodegenerative disorders. Reits’ group are experts on the subject of Huntington’s disease and work towards identifying leads for…
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Life Beyond the Pixels: Deep Learning Methods for Single Cell Analysis
Our guest speaker Prof Dr Peter Horvath presents his work on single cell-based large-scale microscopy experiments. This novel targeting approach includes the use of machine learning models and…
