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TaLiSSman: TrAnsmitted LIght Stack SegMentAtioN

Segmentation of bacteria growing in agar-pads, imaged by de-focused transmitted light stacks

How it works

  • Expected input images are stacks of 2D images, with Z-axis last : Image = [batch, Y, X, Z]. We advise stacks of 5 slices with a 0.2µm step, in range [-0.6µm, -1.4µm] (relatively to the focal plane)
  • Segmentation is performed by regression of the Euclidean Distance Map (EDM).
  • This repository does not include the downstream watershed step to obtain labeled images.
Input Transmitted-Light Stack Predicted EDM Segmented Bacteria

Samples provided by Daniel Thédié, El Karoui Lab, University of Edinburg

Network architecture:

  • Based on U-net
  • Before first layer a block is added to reduced Z-axis using 3D convolutions and 3D Z-maxpooling

More details can be found on my website

How to use it

Check the wiki!

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bacteria segmentation of tranmitted-light stack

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