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Murphy Lab - Classification of Fluorescence Images

Automated Classification of Protein Location Patterns from Fluorescence Microscopy:

Phase 1 - Resolution of Five Classes of Patterns in Chinese Hamster Ovary Cells
(Michael V. Boland, former Graduate Student in Biomedical Engineering,and Mia K. Markey, former Undergraduate in Biological Sciences)

References

Boland, M.V., Markey, M.K., Murphy, R.F. 1997. Automated Classification of Cellular Protein Localization Patterns Obtained via Fluorescence Microscopy. Proceedings of the 19th Annual Internatonal Conference of the IEEE Engineering in Medicine and Biology Society pp. 594-597.

Boland, M.V., Markey, M.K., Murphy, R.F. 1998. Automated Recognition of Patterns Characteristic of Subcellular Structures in Fluorescence Microscopy Images. Cytometry 33:366-375.

Phase 2 - Extension to Ten Classes of Patterns in HeLa Cells and Resolution of Similar Patterns
(Michael V. Boland, former Graduate Student in Biomedical Engineering)

References

Boland, M.V., Murphy, R.F. 2001. A Neural Network Classifier Capable of Recognizing the Patterns of all Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells. Bioinformatics 17:1213-1223.

Phase 3 - Classification of 3-Dimensional Protein Location Patterns
(Meel Velliste, Graduate Student in Biomedical Engineering, and Aaron Rising, Undergraduate Student in Biological Sciences)
Phase 4 - Object-level Recognition of Protein Subcellular Location Patterns
(Meel Velliste, Graduate Student in Biomedical Engineering, and Michael V. Boland, former Graduate Student in Biomedical Engineering)



Last Updated: 01 Dec 2004




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