Science Lab
Science Lab
The knowledge portal of Leica Microsystems offers scientific research and teaching material on the subjects of microscopy. The content is designed to support beginners, experienced practitioners and scientists alike in their everyday work and experiments. Explore interactive tutorials and application notes, discover the basics of microscopy as well as high-end technologies – become part of the Science Lab community and share your expertise!
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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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Artificial Intelligence and Confocal Microscopy – What You Need to Know
This list of frequently asked questions provides “hands-on” answers and is a supplement to the introductory article about Dynamic Signal Enhancement powered by Aivia "How Artificial Intelligence…
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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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Fluorescence Lifetime-based Imaging Gallery
Confocal microscopy relies on the effective excitation of fluorescence probes and the efficient collection of photons emitted from the fluorescence process. One aspect of fluorescence is the emission…
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Multicolor Image Gallery
Fluorescence multicolor microscopy, which is one aspect of multiplex imaging, allows for the observation and analysis of multiple elements within the same sample – each tagged with a different…
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Zebrafish Brain - Whole Organ Imaging at High Resolution
Structural information is key when one seeks to understand complex biological systems, and one of the most complex biological structures is the vertebrate central nervous system. To image a complete…
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Improve 3D Cell Biology Workflow with Light Sheet Microscopy
Understanding the sub-cellular mechanisms in carcinogenesis is of crucial importance for cancer treatment. Popular cellular models comprise cancer cells grown as monolayers. But this approach…
