affable-shark alpha

Nuclei Segmentation Boundary Model

Constantin Pape

10.5281/zenodo.5764892/6647674

Example image containing both original image data and after applying the model to it.

Model Information

Description: This model segments nuclei in fluorescence microscopy images. It predicts boundary maps and foreground probabilities for nucleus segmentation in different light microscopy modalities, mainly with DAPI staining. The boundaries can be processed e.g. with Multicut or Watershed to obtain an instance segmentation.
Task: 2D nucleus segmentation
Licence: CC-BY-4.0
Tags: 2D, nuclei, fluorescence microscopy, instance segmentation, U-Net

Benchmarking

This model was not tested on datasets with reference annotations, so we cannot produce benchmarking metrics.


Model predictions

Study Dataset Original image Prediction Analysis parameters
S-BIAD1518 Human kidney nephrectomy
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z_slices_analysed: 16,17
S-BIAD1518 Scale-cleared rat kidney
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z_slices_analysed: 5,6
S-BIAD1518 BABB-cleared kidney
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z_slices_analysed: 63,64
S-BIAD1492 Simulated fluorescence images
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z_slices_analysed: 63,64
xy_image_crop_size: 560,560
S-BIAD1026 Go-Nuclear image dataset
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z_slices_analysed: 131,132
S-BIAD1518 Cleared mouse intestine
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z_slices_analysed: 19,20
S-BIAD1518 Synthetic cell nuclei
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z_slices_analysed: 63,64
S-BIAD1518 Human kidney cortex
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z_slices_analysed: 8,9
S-BIAD1196 brain cell nucleus patches
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z_slices_analysed: 99,100
xy_image_crop_size: 192,192
S-BIAD1518 Biopsy of diabetic human kidney
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z_slices_analysed: 16,17