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Imaging and AI-Assisted Analysis of Retinal Cell Damage
Application Note

Imaging and AI-Assisted Analysis of Retinal Cell Damage

Imaging and AI-Assisted Analysis of Retinal Cell Damage
Application Note

Imaging and AI-Assisted Analysis of Retinal Cell Damage

In conventional widefield imaging, a common issue is out-of-focus blur, especially when imaging thick sections or whole-mounted samples like the retina. This causes poor contrast of fluorophore channels, masks image information and reduces the ability for clear and reproducible analysis.

Download this app note to discover how AI-based analysis on computationally cleared images can: 

  • Save time and effort in the imaging workflow
  • Increase accuracy of analysis
  • Produce reliable reconstructions of highly complex retina samples
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