Method of detecting cancer in a single cell using mitochondrial correlation microscopy
| DWPI Title: Method of determining normal cell or abnormal cell e.g. brown adipose tissue cell in muscle of mouse, affected by cancer, involves recording pixilated light scattering image and pixilated fluorescence image of cell |
| 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 of determining normal cell or abnormal cell such as brown adipose tissue cell, hepatocytes, certain renal epithelial cell, blood cell, quiescent immune-system progenitor or precursor cell and yeast cell in muscle, liver, lung, kidney, salivary gland, hypophysis, thyroid, parathyroid gland, adrenal gland and brain tissue of animal such as mouse, affected by cancer. |
| Advantage: Since the fluorescent and scattered images can be used independently or in combination, the correlations between the image intensities at each pixel can be revealed easily. Hence the normal cell and the disease cell can be differentiated easily. |
| Novelty: The method involves using light for interacting with cell in microscope having image recording unit. A pixilated light scattering image and pixilated fluorescence image of cell are recorded using interacted light. Pixels of light scattering and fluorescent images are transformed to record co-localization histogram plot. Pixels of histogram are selected corresponding to mitochondrial component of cell. The cell is normal is determined, when monotonic decreasing point distribution having larger intensity variation than abnormal cells is displayed by histogram. |
| Filed: 11/14/2011 |
| Application Number: US13295214A |
| Tech ID: SD 8613.2 |
| 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. |
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