초록 ▼

Image analysis methods and apparatus are used for distinguishing live and dead cells. The methods may involve segmenting an image to identify the region(s) occupied by one or more cells and determining the presence of a particular live-dead indicator feature within the region(s). In certain embodime

Image analysis methods and apparatus are used for distinguishing live and dead cells. The methods may involve segmenting an image to identify the region(s) occupied by one or more cells and determining the presence of a particular live-dead indicator feature within the region(s). In certain embodiments, the indicator feature is a cytoskeletal component such as tubulin. Prior to producing an image for analysis, cells may be treated with a marker that highlights the live-dead indicator in the image. In the case of tubulin, the marker will co-locate with tubulin and provide a signal that is captured in the image (e.g., a fluorescent emission).

대표청구항 ▼

What is claimed is: 1. A method of distinguishing live cells from dead cells in a population of cells, the method comprising: (a) providing one or more images of tubulin in a population of cells, wherein the image provides luminescence or fluorescence from a marker that co-locates with the tubulin

What is claimed is: 1. A method of distinguishing live cells from dead cells in a population of cells, the method comprising: (a) providing one or more images of tubulin in a population of cells, wherein the image provides luminescence or fluorescence from a marker that co-locates with the tubulin when applied to living or dead cells; (b) automatically analyzing said one or more images to determine, for at least some cells in said population of cells, the fluorescent or luminescent intensity of the tubulin marker; and (c) automatically classifying said at least some cells as live or dead by comparing the intensity of the tubulin marker to a predetermined mixture model of two Gaussian distributions, wherein a higher mean intensity of tubulin indicates live cells, and a lower mean intensity of tubulin indicates dead cells. 2. The method of claim 1, further comprising automatically segmenting the image into individual cells prior to step (b). 3. The method of claim 1, further comprising: (d) extracting a morphological feature of the cells in the image; and (e) determining the degree to which the morphological feature occurs separately in at least one of live cells and dead cells.