DNA microarray refers to the technology where the collection of DNA spots are attached to a solid surface (glass, plastic or silicon chip).this technology helps the human race in rapid analysis of diseased genes by comparing it with the normal cell’s gene expression and diseased cell.
Total number of patents granted for this technology is 4 patents. Some of such patented technologies are given below.
In patent no: 7,013,033 titled ‘System for the automatic analysis of images such as DNA microarray images’ with the abstract: The system can be used for the automatic analysis of images, including a matrix of spots, such as images of DNA microarrays after hybridization. The system can be associated--and preferably integrated in a single monolithic component implementing VLSI CMOS technology--to a sensor for acquiring the images. The system includes a circuit for processing the signals corresponding to the images, configured according to a cellular neural network (CNN) architecture for the parallel analogue processing of signals.
Patent no: 6,862,363 titled ‘Image metrics in the statistical analysis of DNA microarray data’ with the abstract: Expression profiling using DNA microarrays is an important new method for analyzing cellular physiology. In "spotted" microarrays, fluorescently labeled cDNA from experimental and control cells is hybridized to arrayed target DNA and the arrays imaged at two or more wavelengths. Statistical analysis is performed on microarray images and show that non-additive background, high intensity fluctuations across spots, and fabrication artifacts interfere with the accurate determination of intensity information. The probability density distributions generated by pixel-by-pixel analysis of images can be used to measure the precision with which spot intensities are determined. Simple weighting schemes based on these probability distributions are effective in improving significantly the quality of microarray data as it accumulates in a multi-experiment database. Error estimates from image-based metrics should be one component in an explicitly probabilistic scheme for the analysis of DNA microarray data.
Patent no: 6,245,511 titled ‘Method and apparatus for exponentially convergent therapy effectiveness monitoring using DNA microarray based viral load measurements’ with the abstract: A technique is described for determining the effectiveness of medical therapy and dosage formulations by analyzing dot spectrograms representative of quantized hybridization activity in biological samples, such as DNA, RNA, or other protein biomolecular array samples, taken at different times from a patient undergoing the medical therapy. This technique enables disease progression analysis based on surrogate markers such as viral load. In accordance with the technique, a viral diffusion curve associated with a therapy of interest is generated and each dot spectrogram is then mapped to a viral diffusion curve using fractal filtering. Next, degree of convergence towards the peak of VDC, between the sample points on a filtered viral diffusion curve is determined. The technique allows for point-of-care viral load detection biosensors to accurately and reliably predict the likelihood of disease progression.
Join Free Patent Lessons Course
