Method for detecting cancer in a single cell using mitochondrial correlation microscopy

DWPI Title: Method for detecting cancer cell in e.g. liver, involves analyzing abruptness of transition from central zone to halo zone of transform image of cell or line profile of segment of autocorrelation image generated using transform image
Abstract: A method for distinguishing a normal cell from an abnormal cell, such as, for example a cancer cell or diseased cell, of the same tissue type using mitochondrial correlation microscopy.
Use: Method for detecting an abnormal cell e.g. cancer cell (claimed), in muscle, a liver, a lung, a brain, an adipose, and a renal. Can also be used for salivary gland, hypophysis gland, thyroid gland, parathyroid gland, and kidney.
Advantage: The method enables examining individual cells to detect a variety of diseases at a very early stage, thus reducing or eliminating delays in diagnosis and treatment of the diseases.
Novelty: The method involves directing light e.g. fluorescent light, onto a cell using an imaging microscope. A pixelated image of the cell is generated using interacted light, where the pixelated image contains optical information about a mitochondrial network of the cell. Fourier transform of the pixelated image is generated to form a Fourier transform image. An abruptness of transition from a central zone to a halo zone of the transform image or a line profile of a segment of an autocorrelation image generated using the transform image is analyzed to determine whether the cell is abnormal.
Filed: 7/17/2006
Application Number: US2006487826A
Tech ID: SD 8613.1
This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention.
Data from Derwent World Patents Index, provided by Clarivate
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