super-resolution microscopy
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Explore more → **super-resolution microscopy**
What is super-resolution microscopy?
Super-resolution microscopy encompasses a variety of techniques that overcome the diffraction limit of light, allowing for imaging with resolutions beyond what is possible with conventional light microscopy. It is commonly used to visualize cellular structures and processes at a nanoscale level, providing detailed insights into biological systems.
What other technologies are related to super-resolution microscopy?
super-resolution microscopy Competitor Technologies
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super-resolution microscopy Complementary Technologies
MATLAB
MATLAB is often used for image processing and analysis in super-resolution microscopy, making it a tool that complements the technology. It can be used for tasks such as image reconstruction and data analysis.
Python
Python, with libraries like NumPy, SciPy, and scikit-image, is widely used for image processing and analysis in super-resolution microscopy, serving as a valuable complement. It enables tasks such as image reconstruction and data analysis.
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Which job functions commonly mention super-resolution microscopy?
Research Assistant
61 Research Assistant jobs mention super-resolution microscopy
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jobs on Sumble
Researcher
156 Researcher jobs mention super-resolution microscopy
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Research Scientist
13 Research Scientist jobs mention super-resolution microscopy
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Scientist
41 Scientist jobs mention super-resolution microscopy
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jobs on Sumble
Laboratory Services
34 Laboratory Services jobs mention super-resolution microscopy
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jobs on Sumble
Which organizations are mentioning super-resolution microscopy?
Københavns Universitet
Educational Services
University of Oxford
Educational Services
Aarhus University
Educational Services
AstraZeneca
Manufacturing
University of Helsinki
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