3 results about "Microarray image" patented technology

The invention discloses a microarray visual detection method, system, equipment and medium, and relates to the field of cell visual detection. The objective of the invention is to solve the problems that microarray holes in a microarray injection platform are small and many, images shot by a camera are dark, and an existing dark light environment object detection method cannot meet the high-throughput microarray injection requirement. The method comprises the following steps: constructing a point template, matching template points in the point template with microarray holes in a microarray image, and taking the successfully matched microarray holes as microarray holes with known positions; calculating a standard vector of a microarray in the microarray image; the standard vector from the point template to the point template is overlapped with the standard vector of the microarray; calculating microarray movement parameters according to the number and coordinates of the microarray holes at the known positions; and calculating the coordinates of the microarray holes according to the microarray movement parameters and the coordinates of the template points in the rotated point template, thereby realizing the detection of the microarray.

A method for analyzing microarray images in an automatic and parallel fashion is provided.Optimal gridding is achieved by an automatic and robust identification of fiducial marker spots,even if spots are of poor quality, poorly imaged and / or there is rotation or shifting of the well. Spot region is correctly captured through an active-contour image segmentation without an estimate of spot size. The circularity of spot regions is used as a crucial indicator of spot quality. Spots of poor quality are identified as outliers when the circularity is below a threshold. Parallel computing is utilized to accelerate the image analysis.

This invention relates to the field of bioinformatics and discloses a method and apparatus for detecting reference bounding boxes in spatial transcriptome chip images. The method includes: acquiring a target spatial transcriptome chip image; detecting line segments in the target spatial transcriptome chip image to obtain multiple initial line segments; obtaining the intersection point of each pair of initial line segments; for each line intersection point, if the included angle between the two initial line segments corresponding to the intersection point does not meet a preset angle constraint condition, then the line intersection point is removed; the angle constraint condition is determined based on the actual shape of the reference bounding box of the target spatial transcriptome chip image; and based on the retained line intersection points, the reference bounding box intersection point of the target spatial transcriptome chip image is determined. This invention enables high-precision and robust detection of reference bounding boxes in spatial transcriptome chip images with complex backgrounds.