1. Classification of Protein Localization Patterns in 3-D Meel Velliste Carnegie Mellon University

2. Introduction Need a Systematics for Protein Localization Need Microscope Automation Feature based classification of Localization Patterns Pioneering work done with 2D images Now exploring classification of 3D images

3. Ten Major Classes of Protein Localization

4. Features Derive Numeric Features based on: –Morphology –Texture –Moments feature1 feature2... featureN Image1 0.3489 0.1294... 1.9012 Image2 0.4985 0.4823... 1.8390... ImageM 1.8245 0.8290... 0.9018

5. Classification Tried: –Classification Trees –kNN –BPNN BPNN was the most successful with 84% correct classification rate This is a cyto-skeletal protein

6. Results of 2-D Classification Overall accuracy = 84%

7. Motivation for 3-D Classification Cells are 3-dimensional objects 2-D images take a slice through the cell Resultant images are largely dependent on the z-position of the slice Losing a lot of 3-D structural information

8. The Approach Acquire a set of 3-D images for the same 10 classes as used in the 2-D work (have 5 now) Calculate equivalent features to what was used with the 2-D images Compare performance

9. 3-D Classification Used a subset of the same Morphological features as used with 2-D patterns: –Number of Objects –Euler Number –Average Object Size –Standard Deviation of Object sizes –Ratio of the Largest to the Smallest Object Size –Average Distance of Objects from COF –Standard Deviation of Object Distances from COF –Ratio of the Largest to Smallest Object Distance

10. 3-D Classification Results Overall accuracy = 84% (95% with GPP=Giantin)

11. 2-D Results — Same 8 Features Overall accuracy = 84% (95% with GPP=Giantin)

12. Conclusion Further work needed to determine if there is any advantage to using 3D images over 2D images Need to design new features to take advantage of extra information in 3D images

13. Acknowledgements Elizabeth Wu - acquired the 3-D image set Michael V. Boland & Robert F. Murphy - pioneering work on 2-D images