- The challenges caused by blur when using widefield microscopy
- Removing blur using advanced widefield imaging systems
- Analyzing immune cell populations during inflammation
Accurately analyze fluorescent widefield images
How to remove out-of-focus blur, improve segmentation accuracy, and leverage the benefits of AI for image analysis
The specificity of fluorescence microscopy allows researchers to accurately observe and analyze biological processes and structures quickly and easily, even when using thick or large samples. However, out-of-focus fluorescence increases background, reduces contrast, and makes accurate image segmentation more challenging. A powerful solution to these issues is the use of THUNDER to remove image blur in combination with Aivia which automates widefield image analysis using AI to improve speed and accuracy. Here, we explore this synergetic approach in more detail.
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