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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)
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