1. Astrocyte Analysis By Masters in Computer Science
Rakesh Singrikonda
Rambabu Chelikani
Manoj Thatikonda
Masters in Computer Science
Kent State University

2. Table of contents Astrocyte Structure Goals
Segmentation and approaches.
Our process.

3. What is astrocyte?
These are star-shaped glial cells in the brain and spinal cord.
These are the most abundant cell of the human brain.
Astrocytes are a sub-type of glial cells in the central nervous system.

4. structure

5. Goals: automatically segment Individual Glial Cells.
intelligent thresholding.
Segmentation.
seed points classification.
classify astrocytes and provide volume and surface area.

6. Segmentation
it is the process of partitioning a digital image into multiple segments.
it is used to locate objects or their boundaries.

7. Approaches to segmentation:
Simple tresholding.
Edge detection.
Watershed transformation.
Etc….

8. Simple tresholding How To Choose The Value For The Threshold T ?
By Visual Inspections Based On The Accurate Image Level The Treshold Can Be Applied.
Does not require specific knowledge about the image.

9. Edge detection
Edge Detection Extracts The Boundaries Of The Objects, Instead Of The Objects Themselves.
Edge detection aims at identifying points in a digital image at which the
image brightness changes sharply or more formally has discontinuities.
Discontinuities in image brightness are likely to correspond to:
discontinuities in depth
discontinuities in surface orientation
changes in material properties
variations in scene illumination

10. Watershed transformation
Watershed Segmentation Is An Approach Developed To Solve The Very Common Problem Of Separating Touching Objects.
Segmentation Failed To Separate Too Close Objects

11. OUR Process Segmentation
Thresholding, edge detection, watershed transformation

12. Cells after segmentation

13. Center of mass map

14. Centroid identification

15. Test Results

16. 3D identification results

17. 3D identification results

18. Summary of results

19. Any Queries ???