Abstract: A method for recognizing an object in an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The fractal map may be segmented by thresholding and locations of candidate objects are determined. The pixel value of the image pixel corresponding to the same location where the candidate object is found in the fractal map may be compared to a threshold value. If the pixel value is greater than the threshold value, the candidate object is recognized as a valid object.

Abstract: A method for recognizing an object in an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The fractal map may be segmented by thresholding and locations of candidate objects are determined. The pixel value of the image pixel corresponding to the same location where the candidate object is found in the fractal map may be compared to a threshold value. If the pixel value is greater than the threshold value, the candidate object is recognized as a valid object.

Abstract: The present invention provides a composing microscope for scanning a large area of a specimen in a minimal amount of time. In a first embodiment, the composing microscope has a plurality of optical sensors and a plurality of optical projecting systems arranged adjacent to each other. Each of the projecting systems acquires an image from one location of a specimen and projects the image on one of the optical sensors for digitalizing the image. An image acquisition device is connected to the optical sensors for simultaneously storing the digitalized images with information of their locations on the specimen. In a second embodiment, a composing microscope has an optical sensor and a plurality of optical projecting systems arranged adjacent to each other in rows. Each of the optical projecting systems has a first end for acquiring an image at one location of a specimen and a second end.

Abstract: Automated sample analysis is performed by a computer-implemented apparatus and method for distinguishing objects of interest in an optical field from other objects and background in the optical field, collectively called background. Once an object has been identified, the color comprised of a combination of the red, green and blue components of the pixels occupied by the image of the object of interest, or another parameter of interest relative to that object can be measured and stored. This computer-implemented analysis apparatus and method is performed on objects of interest in the sample which are tagged using fluorescent tags. The sample may be a cell sample containing a nucleic acid target and the tagging achieved by fluorescence in situ hybridization.

Abstract: Automated sample analysis is performed by a computer-implemented apparatus and method for distinguishing objects of interest in an optical field from other objects and background in the optical field, collectively called background. Once an object has been identified, the color comprised of a combination of the red, green and blue components of the pixels occupied by the image of the object of interest, or another parameter of interest relative to that object can be measured and stored. This computer-implemented analysis apparatus and method is performed on objects of interest in the sample which are tagged using fluorescent tags. The sample may be a cell sample containing a nucleic acid target and the tagging achieved by fluorescence in situ hybridization.