Abstract: A system and method for detecting defects in TFT-array panels is provided that improves defect detection accuracy by adjusting the thresholding parameters used to classify defective pixels in accordance with the standard deviation of the measured pixel voltages. The present invention is particularly suited for the testing of TFT-array panels that contain more pixels than can be measured by the sensor of the TFT-array tester in a single measurement. The system and method of the present invention calculates the standard deviation of the measured pixel voltages at each measurement point, and adjusts the thresholding parameters based on the calculated standard deviation. Accordingly, the system and method of the present invention helps to compensate for differences in the measured pixel voltages between measurement points due to environmental factors or other causes.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A system and method for detecting a defect in a transistor array includes applying a test signal to the array, monitoring pixel voltages along a gate line of the array, and detecting a defect associated with the gate line based on a variation in the pixel voltages along the gate line during the monitoring step. The system and method can also detect a precise location of the defect based on a rate of change in the variation of the pixel voltages along the gate line.

Abstract: A system and method for detecting defects in TFT-array panels is provided that improves defect detection accuracy by adjusting the thresholding parameters used to classify defective pixels in accordance with the standard deviation of the measured pixel voltages. The present invention is particularly suited for the testing of TFT-array panels that contain more pixels than can be measured by the sensor of the TFT-array tester in a single measurement. The system and method of the present invention calculates a reference pixel voltage at each pixel based on a low frequency component of the measured pixel voltage, and adjusts the thresholding parameters based on the calculated reference pixel voltage.

Abstract: A system and method for detecting defects in TFT-array panels is provided that improves defect detection accuracy by adjusting the thresholding parameters used to classify defective pixels when the number of defects reported by a TFT-array testing system exceeds a predetermined critical number. In a preferred embodiment, the thresholding parameters are adjusted until the number of reported defects is less than or equal to the predetermined critical number. The predetermined critical number represents a threshold number for determining if the number of reported defects is abnormally high.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A method for performing circuit defect analysis and process problem identification includes applying a test signal to a circuit, obtaining a signal generated in response to the test signal, comparing the response signal to reference information, classifying a defect in the circuit based on a result of the comparing step, and identifying a problem in a manufacturing process which caused the defect based on the classification. The reference information may include one or more signal profiles corresponding to predefined types of defects that can occur during the manufacturing process. Defect classification is preferably performed by determining whether the response signal falls within one or more of the signal profiles. If the response signal falls within two or more signal profiles, then probabilities may be determined for each profile. The defect may then be classified as corresponding to the defect type whose signal profile has the highest probability.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A system and method for detecting a defect in a transistor array includes applying a test signal to the array, monitoring pixel voltages along a gate line of the array, and detecting a defect associated with the gate line based on a variation in the pixel voltages along the gate line during the monitoring step. The system and method can also detect a precise location of the defect based on a rate of change in the variation of the pixel voltages along the gate line.

Abstract: A system and method for detecting a defect in a transistor array includes applying a test signal to the array, monitoring pixel voltage along a gate line of the array, and detecting a defect associated with the gate line based on a variation in the pixel voltage during the monitoring step. The defect may be a short between the gate line and a common line of the array. The gate line and common line may be associated with a same pixel element or different pixel elements. The system and method also detect a precise location of the defect based on a rate of change in the variation of the pixel voltage along the gate line. The rate of change may be measured in any one of a variety of ways. For example, the rate of change may be measured as a sudden increase or increase of the pixel voltage or as a change in slope of a pixel voltage profile. Alternatively, the location of the defect may be detected as corresponding to a minimum or maximum value in a pixel voltage profile.

Abstract: A system and method for detecting defects in TFT-array panels is provided that improves defect detection accuracy by adjusting the thresholding parameters used to classify defective pixels in accordance with the standard deviation of the measured pixel voltages. The present invention is particularly suited for the testing of TFT-array panels that contain more pixels than can be measured by the sensor of the TFT-array tester in a single measurement. The system and method of the present invention calculates a reference pixel voltage at each pixel based on a low frequency component of the measured pixel voltage, and adjusts the thresholding parameters based on the calculated reference pixel voltage.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.

Abstract: A system and method for detecting defects in TFT-array panels is provided that improves defect detection accuracy by adjusting the thresholding parameters used to classify defective pixels when the number of defects reported by a TFT-array testing system exceeds a predetermined critical number. In a preferred embodiment, the thresholding parameters are adjusted until the number of reported defects is less than or equal to the predetermined critical number. The predetermined critical number represents a threshold number for determining if the number of reported defects is abnormally high.

Abstract: A system and method for detecting defects in TFT-array panels is provided that improves defect detection accuracy by adjusting the thresholding parameters used to classify defective pixels in accordance with the standard deviation of the measured pixel voltages. The present invention is particularly suited for the testing of TFT-array panels that contain more pixels than can be measured by the sensor of the TFT-array tester in a single measurement. The system and method of the present invention calculates the standard deviation of the measured pixel voltages at each measurement point, and adjusts the thresholding parameters based on the calculated standard deviation. Accordingly, the system and method of the present invention helps to compensate for differences in the measured pixel voltages between measurement points due to environmental factors or other causes.

Abstract: A system and method of monitoring LCD production yields, predicting the effects of different testing methodologies on LCD production yields, and optimizing production yields is provided that compares the effect of different testing methodologies on the yields at various stages in the LCD testing and assembly process. The present invention can also be used to predict the effect of different testing methodologies on user-defined parameters, such as profit.