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Finding correspondences between drosophila embryo

Finding correspondences between drosophila embryo. Charless Fowlkes, Jitendra Malik UCB Computer Sciences. ?. % egg length coordinate system. 10% strip. Warp x-axis to align peak features. Myasnikova et al (2001). Advantages: Treats cells as discrete units

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Finding correspondences between drosophila embryo

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  1. Finding correspondences between drosophila embryo Charless Fowlkes, Jitendra Malik UCB Computer Sciences

  2. ?

  3. % egg length coordinate system 10% strip Warp x-axis to align peak features Myasnikova et al (2001)

  4. Advantages: Treats cells as discrete units Discontinuities in expression levels between cells are preserved Given a correspondence, it is easy to find a global coordinate system Cell-to-Cell Correspondence • Cell lineage gives “ground-truth” correspondence

  5. Sources of Variation • Not so interesting: • Staining • Shrinking • Spinning • Squashing • Staging • Interesting: • Biological Variation

  6. Correspondence as Optimzation • Of all possible correspondences between two embryos, find the one which pairs cells with similar expression levels.

  7. Correspondence as Optimzation • Of all possible correspondences between two embryos, find the one which pairs cells with similar expression levels.

  8. Correspondence as Optimzation • Of all possible correspondences between two embryos, find the one which pairs cells with similar expression levels and results in a smooth transformation

  9. Correspondence Overview Nuclear Segmentation Coarse Registration X Y Z Sna Ftz 220.3 40.2 31.0 0.28 0.99 182.4 30.1 44.9 0.22 0.77 . . Detailed Correspondence and Model Building Mesh Generation Feature Extraction

  10. Coarse Registration • Align the center of masses of two embryos • Scale along AP axis in order to match length • Sphere perpendicular to AP axis in order to remove squashing • Rotate along AP axis to align SNA expression pattern

  11. Coarse Registration Scale and Rotate

  12. Coarse Consensus Model

  13. Correspondence Overview Nuclear Segmentation Coarse Registration X Y Z Sna Ftz 220.3 40.2 31.0 0.28 0.99 182.4 30.1 44.9 0.22 0.77 . . Detailed Correspondence and Model Building Mesh Generation Feature Extraction

  14. Mesh generation • Point cloud doesn’t capture the blastoderm topology. Locally, it is a 2D sheet of cells

  15. Mesh generation • Utilize standard tools from computer graphics and computational geometry

  16. Feedback Mesh Information to Segmentation ? Nuclear Segmentation X Y Z Sna Ftz 220.3 40.2 31.0 0.28 0.99 182.4 30.1 44.9 0.22 0.77 . . Mesh Generation

  17. Feedback Mesh Information to Segmentation ?

  18. Correspondence Overview Nuclear Segmentation Coarse Registration X Y Z Sna Ftz 220.3 40.2 31.0 0.28 0.99 182.4 30.1 44.9 0.22 0.77 . . Detailed Correspondence and Model Building Mesh Generation Feature Extraction

  19. Feature Extraction • Extract expression levels in the neighborhood of a given cell by flattening the sheet.

  20. Correspondence Overview Nuclear Segmentation Coarse Registration X Y Z Sna Ftz 220.3 40.2 31.0 0.28 0.99 182.4 30.1 44.9 0.22 0.77 . . Detailed Correspondence and Model Building Mesh Generation Feature Extraction

  21. Detailed Correspondence • Set up quadratic optimzation problem which includes matching and smoothness terms • only considers correspondences between points which are nearby after the coarse registration • 100 fold reduction in potential matches • utilize features extracted from the mesh • much better match accuracy • further pruning • Results…soon

  22. Conclusion • Techniques aimed at cellular correspondence between multiple embroys • Utilize knowledge of embryo topology along with rough alignment to make detailed correspondence tractable

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