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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 ...
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...
Classification of Protein Localization Patterns Obtained via Fluorescence Light Microscopy
Protein Localization Microscopy
2009/12/22
We describe a method of classifying cellular
protein localization patterns based on their appearance in
uorescence light microscope images. Images depicting cellular
protein localization were obtai...
A Parallel Reconstruction Scheme in Fluorescence Tomography Based on Contrast of Independent Inversed Absorption Properties
Fluorescence Tomography Independent Inversed Absorption Properties
2009/9/8
Based on an independent forward model in fluorescent tomography, a parallel reconstructed scheme for inhomogeneous mediums with unknown absorption property is proposed in this paper. The method consid...
A Penalized Linear and Nonlinear Combined Conjugate Gradient Method for the Reconstruction of Fluorescence Molecular Tomography
Fluorescence Molecular Tomography A Penalized Linear
2009/9/7
Conjugate gradient method is verified to be efficient for nonlinear optimization problems of large-dimension data. In this paper, a penalized linear and nonlinear combined conjugate gradient method fo...