Facilitation of Immunoassay through Object Identification

نویسنده

  • Susan L. Collins
چکیده

Immunoassay is a biological technique that is used for detecting and measuring target compounds. It has been utilized for biological and medical detection for many years. Recently, the use of immunoassay techniques has moved into the environmental arena. With the increased use and need for environmental assay techniques, quick and efficient methods of automatic detection and measurement are badly needed. A positive immunoreaction results in a measurable colorimetric reaction when an antigen binds to the antibody under appropriate thin-film material configuration. By applying the antibody to a test plate surface in a specific pattern formation, an automatic pattern recognition software routine along with specialized electronics can be utilized to automatically analyze the results from an assay exposure. The use of automated equipment eliminates the need for highly trained technicians to analyze the test results. This software project developed software that automatically reads a test plate and converts the data into a meaningful graphical representation. This graphical image can then be scanned and the positive reactions, dark images, are automatically identified as a particular object. The object identification routine utilizes a probability weighting function based upon feature parameters extracted from the object. This technique allows for additional objects to be easily added by expanding the weighted array. For proof of principle, ten simulated objects were used to test the software. Each object was tested with varying size, position, and rotation, and the software correctly identified each object in every test case.

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تاریخ انتشار 2007