Abstract: The present invention provides methods and systems for analyzing a biological sample. The methods of the present invention can utilize a labeling moiety and a cleavage moiety. The labeling moiety can comprise a binding moiety that is coupled to a detectable tag via a polynucleotide linker. The cleavage moiety can form a complex with the polynucleotide linker. In some cases, after formation of the complex, the cleavage moiety can effect cleavage of the polynucleotide linker, to release the detectable tag from the binding moiety. The release of the detectable tag can allow one or more additional imaging of the biological sample with a different labeling moiety that comprises a different binding moiety but the same labeling moiety.

Abstract: The present invention provides a biological sample holder and handler system for cell-based liquid biopsies. The system is useful for performing diagnostic assays, based on a simple blood sample.

Abstract: The present invention provides a quantitative liquid biopsy diagnostic system and methods for performing diagnostic assays. The system offers a liquid biopsy method using circulating tumor cells (CTCs) or White Blood Cells (WBC) subpopulations for precision cancer diagnosis, early detection of disease evolution, and cancer patient management. The invention utilizes selective plane illumination microscopy (SPIM) to deliver high sensitivity and specificity for the detection and isolation of individual CTCs, superseding the efficacy of existing methodologies for early cancer detection. Isolated CTCs can be analyzed for their molecular fingerprint, which can lead to matching genetic abnormalities with specific drug treatments. The system allows ex vivo observation of live CTC or WBC response to treatment.

Abstract: Automated methods for detecting cancer and related hyperplasias in biological samples.

Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: Automated methods for detecting cancer and related hyperplasias in biological samples.

Abstract: A system and method for remote control of an automated microscope via a widely distributed network.

Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: An filter, apparatus and method for preparing microscope slides is presented. After filtration of the specimen is performed, the filter containing the filtrand is configured to be microscopically examined. The filter may either be affixed to a microscope slide or, in an embodiment, the filter may be incorporated into a microscope slide.

Abstract: A system and method for remote control of an automated microscope via a widely distributed network.

Abstract: A method for providing quantitative information regarding the extent of infection of host cells by an infectious agent. A microscope image of a specimen of a bodily fluid is analyzed using image processing techniques to quantify the percentage of the area of the specimen that is infected.

Abstract: An automated, highly sensitive, specific and potentially quantitative detection method using an automated microscope for identifying and enumerating rare cancer cells in blood and other fluids.

Abstract: A method for detecting and quantitating multiple and unique fluorescent signals from a cell sample is provided. The method combines immunohistochemistry and a fluorescent-labeled in situ hybridization techniques. The method is useful for identifying specific subcellular components of cells such as chromosomes and proteins.

Abstract: A method for providing quantitative information regarding the extent of infection of host cells by an infectious agent. A microscope image of a specimen of a bodily fluid is analyzed using image processing techniques to quantify the percentage of the area of the specimen that is infected.

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: An filter, apparatus and method for preparing microscope slides is presented. After filtration of the specimen is performed, the filter containing the filtrand is configured to be microscopically examined. The filter may either be affixed to a microscope slide or, in an embodiment, the filter may be incorporated into a microscope slide.

Abstract: In various embodiments methods for automated screening for gene amplification in biological tissue samples using an automated fluorescence microscope to analyze fluorescence in situ hybridized samples are provided. Various additional embodiments provide methods of high throughput screening for gene amplification.

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.