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    • 2. 发明申请
    • SYSTEMS AND METHODS FOR INTERPRETING IMMUNOBLOT TEST RESULTS
    • 用于解释免疫球蛋白测试结果的系统和方法
    • WO9953288A2
    • 1999-10-21
    • PCT/US9908160
    • 1999-04-14
    • IMMUNETICS INC
    • LEVIN ANDREW EODDO A SCOTT
    • G01N33/561G01N33/68G01N
    • G01N33/6893G01N33/561
    • Automated systems and methods that can be employed for the interpretation of Lyme Western Blots. The programs can analyze the band patterns produced by immunoblot tests, such as the Western Blot test, by scanning the test membrane by a digital camera and interpreting the test result as positive or negative. In one embodiment, a statistical analysis of band data is employed and in the other a neural network is employed. The statistical program can incorporate interpretive algorithms, such as those supported by CDC/ASTPHLD for Lyme Wetern Blots. The neural network is capable of learning and improving its performance, and will develop its own criteria for interpretation through the analysis of large numbers of positive and negative samples.
    • 自动化的系统和方法,可用于解释莱姆西印。 程序可以通过使用数码相机扫描测试膜并将测试结果解释为正或负,来分析免疫印迹测试产生的带状图案,如Western Blot测试。 在一个实施例中,采用频带数据的统计分析,而在另一实施例中采用神经网络。 统计程序可以结合解释性算法,例如CDC / ASTPHLD为Lyme Wetern Blots支持的算法。 神经网络能够学习和提高其性能,并通过大量正,负样本的分析,制定自己的解释标准。
    • 3. 发明申请
    • SYSTEMS AND METHODS FOR INTERPRETING IMMUNOBLOT TEST RESULTS
    • 用于解读免疫斑点测试结果的系统和方法
    • WO9953288A9
    • 1999-12-02
    • PCT/US9908160
    • 1999-04-14
    • IMMUNETICS INC
    • LEVIN ANDREW EODDO A SCOTT
    • G01N33/561G01N33/68G01N
    • G01N33/6893G01N33/561
    • Automated systems and methods that can be employed for the interpretation of Lyme Western Blots. The programs can analyze the band patterns produced by immunoblot tests, such as the Western Blot test, by scanning the test membrane by a digital camera and interpreting the test result as positive or negative. In one embodiment, a statistical analysis of band data is employed and in the other a neural network is employed. The statistical program can incorporate interpretive algorithms, such as those supported by CDC/ASTPHLD for Lyme Wetern Blots. The neural network is capable of learning and improving its performance, and will develop its own criteria for interpretation through the analysis of large numbers of positive and negative samples.
    • 自动系统和方法,可用于解释莱姆蛋白质印迹。 程序可以通过免疫印迹测试产生的条带模式进行分析,如Western Blot测试,通过数码相机扫描测试膜并将测试结果解释为正面或负面。 在一个实施例中,采用带数据的统计分析,并且另一个采用神经网络。 统计程序可以包含解释算法,例如CDC / ASTPHLD支持的Lyme Wetern Blot。 神经网络能够学习和提高其性能,并通过分析大量的正面和负面样本来制定自己的解释标准。