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Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
automated classification fluorescence microscope images location proteomics
2009/12/23
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a fullunderstanding of its function. Fluorescence microscopy, in combination with methods for fluore...
Robust Numerical Features for Description and Classification of Subcellular Location Patterns in Fluorescence Microscope Images
protein localization subcellular location features fluorescence microscopy
2009/12/23
The ongoing biotechnology revolution promises a complete understanding of the mechanisms by whichcells and tissues carry out their functions. Central to that goal is the determination of the function ...
Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images
proteomics subcellular location pattern subcellular location features
2009/12/23
The central goal of proteomics is to clarify the mechanism by which each protein in a given cell type carries out itsfunction. Automated protein subcellular location determination by fluorescence micr...
Location proteomics - Building subcellular location trees from high resolution 3D fluorescence microscope images of randomly-tagged proteins
Location proteomics 3D fluorescence microscope images
2009/12/23
The overall object of proteomics is to characterize all of the proteins expressed in a given cell type. With the rapiddevelopment of random gene tagging technology and high resolution fluorescence mic...
Robust Classification of Subcellular Location Patterns in Fluorescence Microscope Images
Robust Classification of Subcellular Location Patterns Fluorescence Microscope Images
2009/12/23
The ongoing biotechnology revolution promises a complete understanding of
the mechanisms by which cells and tissues carry out their functions. Central
to that goal is the determination of the functi...
AUTOMATED DETERMINATION OF PROTEIN SUBCELLULAR LOCATIONS FROM 3D FLUORESCENCE MICROSCOPE IMAGES
3D FLUORESCENCE MICROSCOPE IMAGES AUTOMATED
2009/12/23
Knowing the subcellular location of a protein is critical to
a full understanding of its function, and automated,
objective methods for assigning locations are needed as
part of the characterizatio...
IMAGE CONTENT-BASED RETRIEVAL AND AUTOMATED INTERPRETATION OF FLUORESCENCE MICROSCOPE IMAGES VIA THE PROTEIN SUBCELLULAR LOCATION IMAGE DATABASE
IMAGE CONTENT-BASED RETRIEVAL AUTOMATED INTERPRETATION
2009/12/23
We describe the Protein Subcellular Location Image
Database (PSLID), which collects and structures 2-D
through 5-D fluorescence microscope images, annotations,
and derived features in a relational ...
A Neural Network Classifier Capable of Recognizing the Patterns of all Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells
Classifier Capable Fluorescence Microscope
2009/12/23
A Neural Network Classifier Capable of Recognizing the Patterns of all Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells.
Searching Online Journals for Fluorescence Microscope Images Depicting Protein Subcellular Location Patterns
Searching Online Journals Fluorescence Microscope Images
2009/12/22
There is extensive interest in automating the collection,
organization and analysis of biological data. Data in the
form of images present special challenges for such efforts.
Since fluorescence mi...
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images
Automated Analysis Fluorescence Microscope Images
2009/12/22
Determination of the functions of all expressed proteins
represents one of the major upcoming challenges in
computational molecular biology. Since subcellular
location plays a crucial role in prote...