1. Tracking Neurons In A Free-Moving Caenorhabditis Elegans
Kirillova Irina, 15124

2. Aim
The aim is to study automatic tracking neurons in a moving and deforming brain of C.elegans.

3. Outline of the presentation
Introduction.
Automatic tracking neurons in a moving and deforming brain.
Results and Conclusion.
References.

4. What is C.elegans?
Caenorhabditis elegans is a free-leaving, transparent nematode about 1 mm in length.

5. Topicality
Why is C.elegans interesting for research? Because human body is very complicated, and it's hard to study. At the same time we can consider this worm as a single cell that exhibits a lot of interesting features which are similar to human’s, often named as "fundamental mysteries of modern biology".

6. Automatic tracking neurons in a moving and deforming brain

7. Algorithm

8. Centerline Detection

9. Straightening and Segmentation

10. Registration Vector Construction

11. Clustering
Clustering similar registration vectors allows for the identification of that particular neuron across time.

12. Error Correction
This is done by finding the TPS transformation, ut→t⋆: Xt ↦ Xt⋆, that maps the identified points from Xt to the corresponding points in Xt⋆ excluding the point s.

13. Results and Conclusion
This method represents a fully automated algorithm for segmenting and tracking neuron in freely behaving C.elegans. This new approach works better than all previous techniques.

14. References. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436637/

15. Thank you for attention!