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Scientific Poster

Phenologic.AI - AI-powered label-free segmentation of brightfield images

The use of Artificial Intelligence (AI) for analysis of cellular images is very promising, especially for image segmentation tasks that were previously challenging or unfeasible, such as the segmentation of nuclei on brightfield images. Brightfield images, while being widely accessible, often suffer from low contrast and lack the specific staining that fluorescent images provide.

Download our scientific poster to learn more about Phenologic.AI:

  • Brightfield microscopy captures comprehensive cellular information, yet traditional segmentation methods struggle with low contrast.
  • Phenologic.AI provides robust segmentation of cells on brightfield images.
  • Ready-to-use pre-trained AI model is compatible with different magnifications and cell lines.
  • AI powered digital phase reconstruction eliminates common imaging artifacts, enabling cytoplasm and cell segmentation.
  • Maintain cell viability throughout extended time-lapse studies - brightfield imaging eliminates phototoxicity concerns associated with fluorescent labeling.
  • Preserve fluorescent channels for target-specific markers while achieving nuclear segmentation through AI-powered brightfield analysis.

For research use only. Not for use in diagnostic procedures.

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Phenologic.AI - AI-powered label-free segmentation of brightfield images

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