Image processing and pattern recognition algorithms for evaluation of crossed immunoelectrophoretic patterns (crossed radioimmunoelectrophoresis analysis manager; CREAM)
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Image processing and pattern recognition algorithms for evaluation of crossed immunoelectrophoretic patterns (crossed radioimmunoelectrophoresis analysis manager; CREAM). / Søndergaard, I; Poulsen, L K; Hagerup, M; Conradsen, K.
In: Analytical Biochemistry, Vol. 165, No. 2, 09.1987, p. 384-91.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Image processing and pattern recognition algorithms for evaluation of crossed immunoelectrophoretic patterns (crossed radioimmunoelectrophoresis analysis manager; CREAM)
AU - Søndergaard, I
AU - Poulsen, L K
AU - Hagerup, M
AU - Conradsen, K
PY - 1987/9
Y1 - 1987/9
N2 - A computerized method for automatic evaluation and comparison of crossed immunoelectrophoretic and crossed radioimmunoelectrophoretic patterns that requires limited hardware resources has been developed. For the initial reading of the plates an ordinary video camera is used. Feature extractors that allow the computer to recognize a point on the precipitation curve as being a peak point have been developed. After this automatic procedure the program allows for an interactive menu-driven proofreading phase during which it is possible to force the system to take into consideration any number of extra points along the precipitation curve in the curve-fitting process. The system has been tested on crossed immunoelectrophoretic patterns as well as crossed radioimmunoelectrophoretic patterns and it has been shown that the system can recognize the same precipitation curves on different immunoplates and autoradiographs. In addition, the system reports the mean, the variance, and the area of the precipitation curves, thus allowing not only a qualitative comparison of two or more plates but also a quantitation of individual antigens or antibodies.
AB - A computerized method for automatic evaluation and comparison of crossed immunoelectrophoretic and crossed radioimmunoelectrophoretic patterns that requires limited hardware resources has been developed. For the initial reading of the plates an ordinary video camera is used. Feature extractors that allow the computer to recognize a point on the precipitation curve as being a peak point have been developed. After this automatic procedure the program allows for an interactive menu-driven proofreading phase during which it is possible to force the system to take into consideration any number of extra points along the precipitation curve in the curve-fitting process. The system has been tested on crossed immunoelectrophoretic patterns as well as crossed radioimmunoelectrophoretic patterns and it has been shown that the system can recognize the same precipitation curves on different immunoplates and autoradiographs. In addition, the system reports the mean, the variance, and the area of the precipitation curves, thus allowing not only a qualitative comparison of two or more plates but also a quantitation of individual antigens or antibodies.
KW - Algorithms
KW - Allergens
KW - Animals
KW - Antibodies
KW - Antigens
KW - Autoanalysis
KW - Hair
KW - Horses
KW - Humans
KW - Hypersensitivity
KW - Immunoelectrophoresis
KW - Immunoelectrophoresis, Two-Dimensional
KW - Immunoglobulin G
KW - Radioimmunoassay
KW - Journal Article
KW - Research Support, Non-U.S. Gov't
M3 - Journal article
C2 - 3425908
VL - 165
SP - 384
EP - 391
JO - Analytical Biochemistry
JF - Analytical Biochemistry
SN - 0003-2697
IS - 2
ER -
ID: 169714882