Image processing method for use in analyzing data of a chemotaxis or haptotaxis assay
An image processing method for use in analyzing image data of a cellular migration assay. The method includes defining a major axis within the image data that is perpendicular to an orientation of channels in the image data, determining an aggregate light intensity within the image data along the major axis, and identifying locations of channels within the image data from the projection.
1. An image processing method for use in analyzing image data of a cellular migration assay, comprising:
obtaining image data of cells migrating in one or more channels, wherein the cell are induced to migrate by a test agent or substance,
defining a major axis within the image data that is perpendicular to an orientation of channels in the image data,
determining an aggregate light intensity emitted from the cells within the image data along the major axis, and
identifying locations of channels within the image data from the projection.
2. The method of claim 1 , further comprising performing migration analysis on each channel.
3. The method of claim 1 , further comprising, prior to the identifying, dilating a plot of the aggregate light intensity, wherein the identifying is performed from the dilated plot.
4. The method of claim 1 , further comprising, prior to the defining, equalizing the image data.
5. The method of claim 4 , wherein the equalizing comprises re-scaling pixels to quantization limits of the image data.
6. The method of claim 4 , wherein the equalizing comprises:
identifying pixels having components of a predetermined wavelength,
re-scaling the identified pixels to quantization limits of the image data.
7. The method of claim 1 , further comprising eliminating a rotational artifact from the image data prior to the identifying.
8. The method of claim 7 , wherein the eliminating comprises:
identifying a boundary between a well adapted to receive cells and an area of the channels,
constructing a pair of bounding boxes over a band of image data corresponding to the boundary area, the bounding boxes being of equal area,
determining levels of aggregate image intensity in the bounding boxes, and
rotating the image data in a direction determined by a comparison of the levels of aggregate image intensity.
9. The method of claim 1 , further comprising identifying an edge between the channels and a well adapted to receive a sample comprising cells based on a change in light intensity along a minor axis of the image data.