Abstract: An image processing model generation method includes: inputting at least one training sample lesion image into an initial image processing model, the initial image processing model including a classification layer and a marking layer; calling the classification layer; calling the marking layer; obtaining a loss value of the at least one training sample lesion image in the initial image processing model; determining whether the loss value is within a preset range; if not, updating parameters of the initial image processing model, an image processing model with updated parameters being used as an initial image processing model in next training; and repeating above steps until the loss value is within the preset range.

Abstract: A data processing method for a biochip comprises: acquiring a biochip image to be detected; performing binarization processing on the biochip image to obtain a binary image; performing a morphological dilation operation on the binary image in a row direction to obtain a first image, and performing a morphological dilation operation on the binary image in a column direction to obtain a second image; performing connected domain detection on the first image in the row direction, and performing connected domain detection on the second image in the column direction, to determine the number of rows and the number of columns of a sample point array and center position information of each sample point.

Abstract: The present disclosure provides a method and apparatus of labeling a target in an image, and a computer recording medium. The method includes: acquiring a first neural network, the first neural network includes a multi-layer convolutional neural network and a fully connected layer, wherein each layer of the multi-layer convolutional neural network includes a convolutional layer, an activation function layer and a down-sampling layer arranged successively; processing the image by using the multi-layer convolutional neural network of the first neural network acquired so as to obtain a target position mask for the image; and labeling the target in the image based on the target position mask.

Abstract: A data processing method for a biochip comprises: acquiring a biochip image to be detected; performing binarization processing on the biochip image to obtain a binary image; performing a morphological dilation operation on the binary image in a row direction to obtain a first image, and performing a morphological dilation operation on the binary image in a column direction to obtain a second image; performing connected domain detection on the first image in the row direction, and performing connected domain detection on the second image in the column direction, to determine the number of rows and the number of columns of a sample point array and center position information of each sample point.

Abstract: The present application provides a pixel circuit, a display panel, and a temperature compensation method for a display panel. The display panel includes a plurality of pixel units. At least one of the plurality of pixel units includes: a display layer comprising a light emitting element; and a thermoelectric conversion layer comprising a thermoelectric element having a first terminal and a second terminal, wherein the first terminal is disposed adjacent to the light emitting element and in thermal contact with the light emitting element, and the second terminal is disposed away from the light emitting element. The thermoelectric element has a first signal terminal and a second signal terminal, and is configured to generate a temperature difference voltage signal between the first signal terminal and the second signal terminal according to a temperature difference between the first terminal and the second terminal.

Abstract: An image processing model generation method includes: inputting at least one training sample lesion image into an initial image processing model, the initial image processing model including a classification layer and a marking layer; calling the classification layer; calling the marking layer; obtaining a loss value of the at least one training sample lesion image in the initial image processing model; determining whether the loss value is within a preset range; if not, updating parameters of the initial image processing model, an image processing model with updated parameters being used as an initial image processing model in next training; and repeating above steps until the to loss value is within the preset range.

Abstract: A photoelectric detection circuit and a photoelectric detector are provided. The photoelectric detection circuit includes a first photoelectric sensing element and a second photoelectric sensing element, and an electrical characteristic of the first photoelectric sensing element is substantially identical to an electrical characteristic of the second photoelectric sensing element; the first photoelectric sensing element outputs a first sensed electrical signal, and the second photoelectric sensing element outputs a second sensed electrical signal; a polarity of the first sensed electrical signal is opposite to a polarity of the second sensed electrical signal, and an amplitude value of the first sensed electrical signal is substantially identical to an amplitude value of the second sensed electrical signal.

Abstract: A photoelectric detection circuit and a photoelectric detector are provided. The photoelectric detection circuit includes a first sub-circuit and a second sub-circuit. The first sub-circuit includes a first photoelectric sensing element, and the second sub-circuit includes a second photoelectric sensing element, and an electrical characteristic of the first photoelectric sensing element is substantially identical to an electrical characteristic of the second photoelectric sensing element, and the second photoelectric sensing element is shielded to prevent light from being incident on the second photoelectric sensing element.

Abstract: Embodiments of the present disclosure provide a pixel circuit and a drive method thereof, and a detector including the pixel circuit. The pixel circuit includes a photoelectric conversion circuit, a reset circuit, an amplifying circuit, a first control circuit, a second control circuit, a storage circuit, and an output circuit. The photoelectric conversion circuit is configured to convert an optical signal into an electric signal. The reset circuit is configured to reset a voltage of the first node. The amplifying circuit is configured to amplify the voltage of the first node. The first control circuit is configured to control a voltage of the second node. The second control circuit is configured to control a voltage of the third node. The storage circuit is configured to store an electric charge corresponding to the voltage outputted from the amplifying circuit. The output circuit is configured to output the stored electric charge.

Abstract: A photoelectric detection circuit and a photoelectric detector are provided. The photoelectric detection circuit includes a first sub-circuit and a second sub-circuit. The first sub-circuit includes a first photoelectric sensing element, and the second sub-circuit includes a second photoelectric sensing element, and an electrical characteristic of the first photoelectric sensing element is substantially identical to an electrical characteristic of the second photoelectric sensing element, and the second photoelectric sensing element is shielded to prevent light from being incident on the second photoelectric sensing element.

Abstract: A photoelectric detection circuit and a photoelectric detector are provided. The photoelectric detection circuit includes a first photoelectric sensing element and a second photoelectric sensing element, and an electrical characteristic of the first photoelectric sensing element is substantially identical to an electrical characteristic of the second photoelectric sensing element; the first photoelectric sensing element outputs a first sensed electrical signal, and the second photoelectric sensing element outputs a second sensed electrical signal; a polarity of the first sensed electrical signal is opposite to a polarity of the second sensed electrical signal, and an amplitude value of the first sensed electrical signal is substantially identical to an amplitude value of the second sensed electrical signal.

Abstract: The present disclosure provides a method and apparatus of labeling a target in an image, and a computer recording medium. The method includes: acquiring a first neural network, the first neural network includes a multi-layer convolutional neural network and a fully connected layer, wherein each layer of the multi-layer convolutional neural network includes a convolutional layer, an activation function layer and a down-sampling layer arranged successively; processing the image by using the multi-layer convolutional neural network of the first neural network acquired so as to obtain a target position mask for the image; and labeling the target in the image based on the target position mask.

Abstract: Embodiments of the present disclosure provide a pixel circuit and a drive method thereof, and a detector including the pixel circuit. The pixel circuit includes a photoelectric conversion circuit, a reset circuit, an amplifying circuit, a first control circuit, a second control circuit, a storage circuit, and an output circuit. The photoelectric conversion circuit is configured to convert an optical signal into an electric signal. The reset circuit is configured to reset a voltage of the first node. The amplifying circuit is configured to amplify the voltage of the first node. The first control circuit is configured to control a voltage of the second node. The second control circuit is configured to control a voltage of the third node. The storage circuit is configured to store an electric charge corresponding to the voltage outputted from the amplifying circuit. The output circuit is configured to output the stored electric charge.

Abstract: The present application provides a pixel circuit, a display panel, and a temperature compensation method for a display panel. The display panel includes a plurality of pixel units. At least one of the plurality of pixel units includes: a display layer comprising a light emitting element; and a thermoelectric conversion layer comprising a thermoelectric element having a first terminal and a second terminal, wherein the first terminal is disposed adjacent to the light emitting element and in thermal contact with the light emitting element, and the second terminal is disposed away from the light emitting element. The thermoelectric element has a first signal terminal and a second signal terminal, and is configured to generate a temperature difference voltage signal between the first signal terminal and the second signal terminal according to a temperature difference between the first terminal and the second terminal.

Abstract: Embodiments of the present disclosure provide a pixel circuit and a drive method thereof, and a detector including the pixel circuit. The pixel circuit includes a photoelectric conversion circuit, a reset circuit, an amplifying circuit, a first control circuit, a second control circuit, a storage circuit, and an output circuit. The photoelectric conversion circuit is configured to convert an optical signal into an electric signal. The reset circuit is configured to reset a voltage of the first node. The amplifying circuit is configured to amplify the voltage of the first node. The first control circuit is configured to control a voltage of the second node. The second control circuit is configured to control a voltage of the third node. The storage circuit is configured to store an electric charge corresponding to the voltage outputted from the amplifying circuit. The output circuit is configured to output the stored electric charge.