Singular Genomics Systems. has filed a patent for methods and systems of image analysis to identify and quantify features in patterns. The claim outlines a method involving obtaining images, providing data to a computer, detecting features, assigning index addresses, and quantifying signal levels. GlobalData’s report on Singular Genomics Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Singular Genomics Systems, DNA polymerase compositions was a key innovation area identified from patents. Singular Genomics Systems's grant share as of January 2024 was 24%. Grant share is based on the ratio of number of grants to total number of patents.
Image analysis method for quantifying features in patterns
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A patent application (Publication Number: US20240037742A1) describes a method for quantifying features in a repeating pattern of an object using a detection apparatus and a computer. The method involves obtaining multiple images of the object with different signal levels, providing these images to a computer with parameter data describing the pattern, partitioning the images into registration subimages, detecting the features in each subimage, assigning index addresses to each feature, and quantifying the signal level of each feature. The signals in this method are fluorescent intensities, and the object can be genomic fragments immobilized on an array in a two-dimensional plane. The detection apparatus includes at least one camera, and the quantification process involves building a model of the subimage and performing chromatic correction if needed.
Furthermore, the patent application includes claims for a non-transitory computer-readable medium containing instructions for the quantification process and a system comprising a processor and memory to perform the operations. The system involves obtaining a camera image of the object, providing it to a computer with parameter data, partitioning the image into subimages, detecting features, assigning index addresses, and quantifying signal levels. Additional operations include forming a corrugation image related to spatial frequencies, correlating it with the camera image, calculating phase differences, unwrapping the image, fitting it to a polynomial, computing grid locations, and deconvoluting optical blurring. The system aims to accurately quantify features in a repeating pattern of an object using advanced image processing techniques and complex correlation methods to improve accuracy and efficiency in feature detection and quantification.
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