Abstract: A computer-implemented system and method for template-based imaging are disclosed. A first image of a first slide, a second image of a second slide, and a third image of a third slide are received, wherein the third image includes a representation of a sample disposed on the third slide. Values of pixels of a template image that are associated with a plurality of features common to the first and second slides and represented in the first and second images are set to a non-background value and values of pixels of the template image not associated with the plurality of features are set to a background value. An offset between the template image and the third image is developed and coordinates of pixels in the third image that are associated with the representation of the sample are determined in accordance with the offset.

Abstract: A computer-implemented system and method for template-based imaging are disclosed. A first image of a first slide, a second image of a second slide, and a third image of a third slide are received, wherein the third image includes a representation of a sample disposed on the third slide. Values of pixels of a template image that are associated with a plurality of features common to the first and second slides and represented in the first and second images are set to a non-background value and values of pixels of the template image not associated with the plurality of features are set to a background value. An offset between the template image and the third image is developed and coordinates of pixels in the third image that are associated with the representation of the sample are determined in accordance with the offset.

Abstract: A template-based image analysis system and method are disclosed. A slide is loaded in a high-content image system (HCIS), wherein the slide includes a plurality of reference marks and a plurality of sample locations. An acquired images data store has previously acquired images stored therein. An image acquisition module acquires an image of the slide from the high-content imaging system. A feature identification module develops a binary image of the acquired image, wherein the binary image identifies areas associated with reference marks. A template generation module generates a template in accordance with the previously acquired images and a template alignment module aligns the generate template with the binary image. An offset calculation module determines an offset between the template and the binary image and an image segmentation module determines the coordinates of pixels of the acquired image that are associated with the sample locations in accordance with the calculated offset.

Abstract: A template-based image analysis system and method are disclosed. A slide is loaded in a high-content image system (HCIS), wherein the slide includes a plurality of reference marks and a plurality of sample locations. An acquired images data store has previously acquired images stored therein. An image acquisition module acquires an image of the slide from the high-content imaging system. A feature identification module develops a binary image of the acquired image, wherein the binary image identifies areas associated with reference marks. A template generation module generates a template in accordance with the previously acquired images and a template alignment module aligns the generate template with the binary image. An offset calculation module determines an offset between the template and the binary image and an image segmentation module determines the coordinates of pixels of the acquired image that are associated with the sample locations in accordance with the calculated offset.