Automated interpretation of subcellular patterns from immunofluorescence microscopy
- 31 July 2004
- journal article
- review article
- Published by Elsevier in Journal of Immunological Methods
- Vol. 290 (1-2) , 93-105
- https://doi.org/10.1016/j.jim.2004.04.011
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope imagesPublished by SPIE-Intl Soc Optical Eng ,2003
- Location proteomics: building subcellular location trees from high-resolution 3D fluorescence microscope images of randomly tagged proteinsPublished by SPIE-Intl Soc Optical Eng ,2003
- Automated subcellular localization and quantification of protein expression in tissue microarraysNature Medicine, 2002
- In Vivo Functional Proteomics: Mammalian Genome Annotation Using CD-TaggingBioTechniques, 2002
- Automated Recognition of Intracellular Organelles in Confocal Microscope ImagesTraffic, 2002
- Multicolor Laser Scanning Confocal Immunofluorescence Microscopy: Practical Application and LimitationsPublished by Elsevier ,2002
- A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cellsBioinformatics, 2001
- Segmentation of nuclei and cells using membrane related protein markersJournal of Microscopy, 2001
- Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy imagesCytometry, 1998
- Textural Features for Image ClassificationIEEE Transactions on Systems, Man, and Cybernetics, 1973