Abstract: Methods and compositions for identifying high-grade cervical disease in a patient sample are provided. The methods of the invention comprise detecting overexpression of at least one biomarker in a body sample, wherein the biomarker is selectively overexpressed in high-grade cervical disease. In particular claims, the body sample is a cervical smear or monolayer of cervical cells. The biomarkers of the invention include genes and proteins that are involved in cell cycle regulation, signal transduction, and DNA replication and transcription. In particular claims, the biomarker is an S-phase gene. In some aspects of the invention, overexpression of a biomarker of interest is detected at the protein level using biomarker-specific antibodies or at the nucleic acid level using nucleic acid hybridization techniques. Kits for practicing the methods of the invention are further provided.

Abstract: Compositions and methods for diagnosing high-grade cervical disease in a patient sample are provided. The compositions include novel monoclonal antibodies, and variants and fragments thereof, that specifically bind to MCM2. Monoclonal antibodies having the binding characteristics of an MCM2 antibody of the invention are further provided. Hybridoma cell lines that produce an MCM2 monoclonal antibody of the invention are also disclosed herein. The compositions find use in practicing methods for diagnosing high-grade cervical disease comprising detecting overexpression of MCM2 in a cervical sample from a patient. Kits for practicing the methods of the invention are further provided. Polypeptides comprising the amino acid sequence for an MCM2 epitope and methods of using these polypeptides in the production of antibodies are also encompassed by the present invention.

Abstract: A method of determining an amount of at least one molecular species in a sample from an image of the sample captured by an image acquisition device is provided, each molecular species being indicated by a dye. A dye space representation of a plurality of dyes is formed by orthogonally adding the correspondence tables of the dyes, each correspondence table having a plurality of normalized RGB triplets and incrementally extending from 0% to 100% transmittance. The dye space representation has one dimension for each dye and provides a reference model for a combination of the plurality of dyes. Each pixel of an image of the sample stained with the combination of the plurality of dyes is compared to the reference model, each pixel having a color defined by an RGB triplet, so as to determine an optimal combination of normalized RGB triplets from the respective correspondence tables of the dyes producing the color of the respective pixel.

Abstract: A method of determining an amount of at least one molecular specie comprising a sample is provided, each molecular specie being indicated by a dye. The amount of the molecular specie is determined from an image of the sample captured as image data by a color image acquisition device in a video-microscopy system. An optical density of the sample is first determined in each of a red, green, and blue channel at a particular pixel in the image. A corresponding optical density matrix is thereafter formed for that pixel. The optical density matrix is then multiplied by the inverse of a relative absorption coefficient matrix so as to form a resultant matrix for the pixel. The relative absorption coefficient matrix comprises a relative absorption coefficient for each dye, independently of the sample, in each of the red, green, and blue channels. The resultant matrix thus comprises the amount of each molecular specie, as indicated by the respective dye, for that pixel.

Abstract: Methods and computer program products for evaluating and optimizing one or more markers for use in establishing a prognosis for a patient suffering from a disease are provided. More particularly, the methods include steps for systematically evaluating a number of features that may be extracted from an image of a body sample, such as a histological slide, that has been exposed to one or more biomarkers so as to establish a prognostic decision rule based on one or more of the extracted features such that the decision rule yields a prognosis that is optimally predictive of actual patient outcome. Thus, the methods and computer program products provided yield optimally predictive prognoses to assist clinicians in developing strategies for effective patient care management.

Abstract: Methods and compositions for evaluating the prognosis of a breast cancer patient, particularly an early-stage breast cancer patient, are provided. The methods of the invention comprise detecting expression of at least one, more particularly at least two, biomarker(s) in a body sample, wherein overexpression of the biomarker or a combination of biomarkers is indicative of breast cancer prognosis. In some embodiments, the body sample is a breast tissue sample, particularly a primary breast tumor sample. The biomarkers of the invention are proteins and/or genes whose overexpression is indicative of either a good or bad cancer prognosis. Biomarkers of interest include proteins and genes involved in cell cycle regulation, DNA replication, transcription, signal transduction, cell proliferation, invasion, proteolysis, or metastasis.

Abstract: Methods and compositions for identifying ovarian cancer in a patient sample are provided. The methods of the invention comprise detecting overexpression of at least one biomarker in a body sample, wherein the biomarker is selectively overexpressed in ovarian cancer. In preferred embodiments, the body sample is a serum sample. The biomarkers of the invention include any genes or proteins that are selectively overexpressed in ovarian cancer, including, for example, acute phase reactants, lipoproteins, proteins involved in the regulation of the complement system, regulators of apoptosis, proteins that bind hemoglobin, heme, or iron, cytostructural proteins, enzymes that detoxify metabolic byproducts, growth factors, and hormone transporters. In some aspects of the invention, overexpression of a biomarker of interest is detected at the protein level using biomarker-specific antibodies or at the nucleic acid level using nucleic acid hybridization techniques.

Abstract: Methods and compositions for identifying high-grade cervical disease in a patient sample are provided. The methods of the invention comprise detecting overexpression of at least one biomarker in a body sample, wherein the biomarker is selectively overexpressed in high-grade cervical disease. In particular claims, the body sample is a cervical smear or monolayer of cervical cells. The biomarkers of the invention include genes and proteins that are involved in cell cycle regulation, signal transduction, and DNA replication and transcription. In particular claims, the biomarker is an S-phase gene. In some aspects of the invention, overexpression of a biomarker of interest is detected at the protein level using biomarker-specific antibodies or at the nucleic acid level using nucleic acid hybridization techniques. Kits for practicing the methods of the invention are further provided.

Abstract: A cell adhesion solution of a cross-linked polymer for substrates includes an amino acid polymer, a buffered cross-linking agent, and deionized water (DI H2O). In one example, the amino acid polymer is selected from a neutral or basic amino acid, such as poly l-lysine or poly l-arginine. In another example, the amino acid polymer includes poly l-lsine. In another example, the amino acid polymer includes poly l-lsine of molecular weight of 100,000 or higher. The cross-linking agent can be selected from an aldehyde functional group, a buffered formaldehyde solution or a 10% neutral buffered formalin solution.

Abstract: The present invention provides a slide viewer capable of simultaneous display of more than one scan of an area of interest of a slide. The slide viewer includes a database containing at least two data files representing different scans for a same area of interest on one or multiple correlated slides or at least two different digital presentations of the same scan. The scans are views of different illumination and/or of different contrast. Associated with the database are a processor and a display. The processor retrieves data files representing different scans of the same of area of interest and displays them on the display. The present invention allows a user to simultaneously view scans of the same area of interest, where the scans are of views different from each other by either illumination and/or contrast or by the digital information content presented, and/or by the information acquired from multiple correlated slides.

Abstract: A method of determining an amount of at least one molecular species in a sample from an image of the sample captured by an image acquisition device is provided, each molecular species being indicated by a dye. A dye space representation of a plurality of dyes is formed by orthogonally adding the correspondence tables of the dyes, each correspondence table having a plurality of normalized RGB triplets and incrementally extending from 0% to 100% transmittance. The dye space representation has one dimension for each dye and provides a reference model for a combination of the plurality of dyes. Each pixel of an image of the sample stained with the combination of the plurality of dyes is compared to the reference model, each pixel having a color defined by an RGB triplet, so as to determine an optimal combination of normalized RGB triplets from the respective correspondence tables of the dyes producing the color of the respective pixel.

Abstract: A method of determining an amount of at least one molecular specie comprising a sample is provided, each molecular specie being indicated by a dye. The amount of the molecular specie is determined from an image of the sample captured as image data by a color image acquisition device in a video-microscopy system. An optical density of the sample is first determined in each of a red, green, and blue channel at a particular pixel in the image. A corresponding optical density matrix is thereafter formed for that pixel. The optical density matrix is then multiplied by the inverse of a relative absorption coefficient matrix so as to form a resultant matrix for the pixel. The relative absorption coefficient matrix comprises a relative absorption coefficient for each dye, independently of the sample, in each of the red, green, and blue channels. The resultant matrix thus comprises the amount of each molecular specie, as indicated by the respective dye, for that pixel.

Abstract: An interactive process for sorting biological specimens includes the steps of processing a biological specimen to provide an analysis score, sorting the biological specimens according to the analysis score into categories including: clearly normal, interactive review, and microscopy review, and selecting a field-of-view (FOV) for the biological specimens sorted into the interactive review category.

Abstract: Dynamic control of the processing flow of an image analyzer such as a biological specimen analyzer as processing proceeds. Data collected and processed from a specimen under analysis, such as a biological specimen on a microscope slide, determines the fate of further processing. If there is enough evidence, based on the data collected from a slide, to make a decision with sufficient confidence, the processing of the slide can be stopped and a decision may be rendered. By avoiding unnecessary additional computation system throughput may be enhanced. Otherwise, data collection and computation continues until either certain termination criteria are met or no more data is left to acquire. This slide-dependent control and decision making method flexibly limits the amount of computation required to reach a system decision about a specimen.

Abstract: A free-lying cell classifier. An automated microscope system comprising a computer and high speed processing field of view processors identifies free-lying cells. An image of a biological specimen is obtained and the image is segmented to create a set of binary masks. The binary masks are used by a feature calculator to compute the features that characterize objects of interest including free-lying cells, artifacts and other biological objects. The objects are classified to identify their type, their normality or abnormality or their identification as an artifact. The results are summarized and reported. A stain evaluation of the slide is performed as well as a typicality evaluation. The robustness of the measurement is also quantified as a classification confidence value. The free-lying cell evaluation is used by an automated cytology system to classify a biological specimen slide.

Abstract: A method for checking cytological system illumination including the steps of checking global illumination variation, static field uniformity, dynamic field uniformity, specimen thickness variation, strobe repeatability, calibration plate cleanliness, and strobe dropout. A calibration plate and test target is employed for various illumination checks.