|Author||Brändle, Norbert ♦ Bischof, Horst ♦ Lapp, Hilmar|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Spot Array Image ♦ Robust Approach ♦ Hybridization Signal ♦ Main Advantage ♦ Broad Class ♦ Grid Spanning Step ♦ Image Data ♦ Important Preliminary Information ♦ Radon Transform ♦ Hybridization Experiment ♦ Parametric Spot Fitting ♦ Parametric Model ♦ Robust Image Analysis Approach ♦ Grid Fitting ♦ Spot Grid ♦ Rotation Estimation Step ♦ Ultimate Image Analysis Goal ♦ Robust Fitting ♦ Quantification Strategy ♦ Array Element ♦ Digital Image ♦ Semi-parametric Spot Fitting ♦ Spot Amplification Step ♦ Primary Approach|
|Abstract||We present a generic and robust image analysis approach applicable to image data resulting from a broad class of hybridization experiments. The ultimate image analysis goal is to automatically assign a quantity to every array element (spot), giving information about the hybridization signal. Irrespective of the quantification strategy, the most important preliminary information to extract about a spot is the mapping between its location in the digital image and its position in the spot grid (grid fitting). We present a grid fitting approach divided into a spot amplification step (matched filter), a rotation estimation step (Radon transform) and a grid spanning step. Quantification of the hybridization signals is performed with different fitting approaches. The primary approach is a robust fitting of a parametric model with the help of M-estimators. The main advantage of parametric spot fitting is its ability to cope with overlapping spots. If the goodness-of-fit is too bad, a semi-parametric spot fitting is employed.|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Education Level||UG and PG ♦ Career/Technical Study|
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