Nuclei Detection, Morphology Nuclei Detection, Morphology

Process APP

Revert

#10167

RUO

Nuclei Detection, Morphology

Developed for automatic segmentation of Nuclei in Brightfield images, exporting various shape measurements to assess morphology of each nucleus. Using deep learning (AI) for automatic nuclei detection in H&E and IHC stained tissue of various types including breast, prostate, liver, stomach and kidney, it is ready for use without additional training.

Users can customize the APP by adding other post-processing steps and/or output variables as needed.

Figure 1

Figure 1

H&E tissue

Figure 2

Figure 2

Nuclei segmentation in H&E

Figure 3

Figure 3

IHC stain (ER in breast cancer)

Figure 4

Figure 4

Nuclei segmentation

Details

Quantitative Output variables

Exports:
Total number of nuclei

And for each Nucleus the output contains:

  • Nucleus Area (µm²)
  • Nucleus Form Factor [0-1]
  • Nucleus Major Axis Length [µm]
  • Nucleus Minor Axis Length [µm]

Related APPs

Tissue Detection (Brightfield) Tissue Detection (Brightfield)
Research

Tissue Detection (Brightfield)

#10187
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