In conventional widefield imaging, a common issue is out-of-focus blur, especially when imaging thick sections or whole-mounted samples like the retina. Blur is caused by illumination of the whole sample, particularly the areas above and below the image plane. This causes poor contrast of fluorophore channels, masks image information, and reduces the ability for clear and reproducible analysis. Confocal point scanners allow optical sectioning and are the benchmark for superior image quality and high-contrast fluorescence images, even for multicolour data acquisition. However, with confocal point scanners, acquiring image sequences of large samples might be time consuming depending on the scanning speed.
Together, low-throughput acquisition and blur can hamper a scientist’s ability to quantify cellular and molecular features of tissue like the retina. For this type of research, it’s important to have a solution capable of capturing images with high acuity and fast screening of the retina, so 3D reconstruction can be performed.
- High-acuity imaging of whole-mounted retina samples using THUNDER
- Powerful image analysis of THUNDERed images with Aivia
- Better quality and reproducible analysis of thick tissues like the retina
Download the application note to learn more about fast, high acuity imaging and AI-assisted analysis of retinal cell damage
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