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Save Time and Effort with AI-assisted Fluorescence Image Analysis

Discover the Synergy of THUNDER and Aivia

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Crisp THUNDERed images remove the blur and haze you get through conventional widefield imagers, allowing clear marking of signal and background. The powerful synergy of THUNDER and Aivia analyze fluorescence images with greater accuracy, even when using low light excitation. Learn how the synergy of THUNDER and Aivia help accelerate your research.

Your benefits

  • Clarity and accuracy for segmentation
  • More time, more data, more images
  • AI and application expertise, all in one place
U2OS cell, human osteosarcoma Mitochondria - low light exposure U2OS cell, human osteosarcoma Mitochondria labelled with MitoView green; analysis result from THUNDER and Aivia.

Reach discovery goals with greater accuracy. Crisp THUNDERed images remove the blur and haze you get through conventional widefield imagers, allowing clear marking of signal and background. The powerful synergy of THUNDER and Aivia analyze fluorescen

U2OS cell, human osteosarcoma Mitochondria labelled with MitoView green; analysis result from THUNDER and Aivia.

Increase scientific capabilities

The unique workflow is especially powerful when using thick samples, working with living specimens when low light dosages for excitation are crucial, performing time-lapse experiments, or capturing large image stacks, making it easier for you to more precisely analyze objects of interest. Your dedicated Leica expert has the know-how to get the detailed image acquisition and analysis results you want and need, giving you the freedom to focus on your discoveries.

Analysis of THUNDER images

Time lapse showing mitochondria

Compared to the analysis of raw data, a larger number of objects can be seen, indicating a better (more accurate) segmentation. Consequently, the tracking is more precise and any information extracted (displacement, speed, form factor, size, shape) is less prone to error.

Time lapse showing mitochondria. Analysis of THUNDER images.
Time lapse showing mitochondria. Analysis of raw data.
This is the input dataset for the analyzed timeseries. The signal is not very strong and the background and noise levels are quite unfavorable.
This is the input dataset for the analyzed timeseries. The signal is not very strong and the background and noise levels are quite unfavorable.

More analysis possibilities with THUNDER and Aivia

On the left you see a THUNDERed image (pink = blood vessel, white = immune cells). On the right there are the rendered surfaces of the vessels colored in pink and the individual immune cells color-coded with their closest distance to the vessels. The legend provides the distance values. 

Image courtesy of Dr. Selina Keppler, Munich, Germany.

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