Abstract: An image filing system includes an image capturer, a data base for storing a plurality of images together with an attribute information of the images, a display device, an input device, a table memory, and a controller. The input device further includes a function of inputting differentiation count data of the object of inspection observed by an eye, and the controller further includes a function of allowing the inputted differentiation count data to be displayed on the display device together with the image of the object of inspection corresponding to the differentiation count data, retrieves from the table memory the attribute information corresponding to the identification number of an image now being displayed, and stores the image now being displayed into the data base together with the attribute information when an instruction to take in the image is given.

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: Method and apparatus for reflected imaging analysis. Reflected imaging is used to perform non-invasive, in vivo analysis of a subject's vascular system. A raw reflected image (110) is normalized with respect to the background to form a corrected reflected image (120). An analysis image (130) is segmented from the corrected reflected image to include a scene of interest for analysis. The method and apparatus can be used to determine such characteristics as the hemoglobin concentration per unit volume of blood, the number of white blood cells per unit volume of blood, a mean cell volume, the number of platelets per unit volume of blood, and the hematocrit. Cross-polarizers can be used to improve visualization of the reflected image.

Abstract: An apparatus and method acquires and stores multiple resolution images from a specimen on a support and provides to the user a low magnification, reconstructed macro image of the entire specimen, or a large portion thereof, to aid the person in selecting points of interest to be viewed or analyzed at higher magnifications and resolution. The reconstructed image is formed of a large number of tiled, stored images which are coordinated and assembled to form the macro image of the specimen which is displayed on a monitor. Preferably, the stored, reconstructed image is reduced further in size by a software system before it is displayed to the user. The display may be on a local monitor over a local area network or sent over the Internet to the user who is typically a pathologist. The user selects by a marker such as a cursor the defined area of interest or region and then views higher magnification images or has them analyzed.

Abstract: A mathematical model, the membranes and devices based upon that model to optimize protocols for the addition or removal of cryoprotectant to or from biological cells, and a method to observe the biological cells and obtain the data to implement the models. This disclosure describes the use of four equations to predict optimal protocols to add or remove cryoprotectant to or from biological cells. The equations particularly require experimentally found data, specific to cell-type and species, regarding the osmotic tolerance of the cells, where osmotic tolerance refers to the cells ability to shrink or swell to various changes in osmolality without injury. The equations further require the cryoprotectant permeability coefficient and the water permeability coefficient of the particular cells' plasma membrane.

Abstract: An image is processed taking into account the direction of a predominant structure of the image. Said predominant direction is derived from image information in the image. In particular, the covariance matrix having matrix elements depending on products of differences between pixel-values in separate directions is calculated. The eigenvectors of the covariance matrix correspond with the predominant direction of the image structure and the eigenvalues of the covariance matrix represent the strength of the structure in the image. The covariance matrix is computed locally, i.e. for separate regions in the images so as to take variations of the direction of predominant structures into account.

Abstract: Reflected imaging is used to perform non-invasive, in vivo analysis of a subject's vascular system. A raw reflected image is normalized with respect to the background to form a corrected reflected image. An analysis image is segmented from the corrected reflected image to include a scene of interest for analysis. The method and apparatus can be used to determine such characteristics as the hemoglobin concentration per unit volume of blood, the number of white blood cells per unit volume of blood, a mean cell volume, the number of platelets per unit volume of blood, and the hematocrit. Cross-polarizers can be used to improve visualization of the reflected image.

Abstract: The detection method and apparatus detects abnormalities having a first signal propagation property within a host medium having a second signal propagation property based upon signals which have been reflected, scattered and/or absorbed by the host medium and any abnormalities therein. The detection apparatus includes a signal source for introducing a signal into the host medium which varies with respect to a predetermined signal parameter, such as time, frequency or source location. The detection apparatus also includes a plurality of detectors disposed along some or all of the boundary of the host medium for detecting the signal following propagation through the host medium and any abnormalities within the host medium. The detection apparatus further includes a signal processor for constructing at least one partial differential equation to describe the propagation of a regularized signal through a medium having the same shape as the host medium.

Abstract: Abnormal reactions in a red blood cell classification by agglutination, are checked following centrifugation of a sample in a column of a cassette, the column containing microparticles. This is done by imaging the column on a detector array that is used to correlate the images with predefined red cell classes based upon the distribution of the images across the column. However, prior to the correlation step, abnormal reactions are checked for by detecting whether any of the following is present:i) errors that cause imaged features of the column or any pellet produced therein to be out of range;ii) hemolysis of the sample;iii) insufficient or too many blood cells present;iv) mixed field agglutination; andv) presence of fibrin at the top of the microparticles.

Abstract: To transmit images over a network between an imager and one of several reproduction devices, an correction function is determined which adjusts the image to produce optimal reproductions from the selected device. To derive the correction function, a test pattern image with different gray scale regions is sent to and reproduced by each reproduction device. The optical density of each region in the reproduced test pattern images is measured and employed to derive the correction function. Thereafter, when a image is sent over the network, the correction function for the recipient reproduction device is applied to produce a corrected image which is sent over the network.

Abstract: A suite of tests and parameter monitoring methods for at least five major subsystems that are found in most automated image processing systems, as well as calibration routines for three major system functions. The five areas of subsystem verification include processing quality, illumination quality, image collection quality, autofocus quality, and position quality. An automated biological specimen analysis system uses self measures of system parameters to provide a system status. The system status is reported to the user.

Abstract: A multi-parameter hematology analyzer and method are provided for in vitro determination of blood parameters. The analyzer apparatus includes a laser for transmitting light through a specimen container containing a minimally diluted blood sample. The light scattered by the constituents of the blood sample are scattered into a pattern which is recorded on a camera image. This image is then processed by image processing software and is used to establish specific blood parameters.

Abstract: A method of staining cellular material where a sample containing the cellular material is stained with a stain solution containing a cyanine dye excitable by infrared rays to contrast its nuclear material from its cytoplasmic material.

Abstract: A computer aided biological specimen screener is responsive to a priori information about biological specimens. An automated slide classifier scans a slide specimen and generates a set of scores. The classification which results from this set of scores depends on a priori information concerning the patient, such as patient age and prior health history and diagnosis. Using the patient information and an appropriate score, the specimen is classified. A normal threshold used for classification is changed over a wide range depending on the specificity appropriate to a particular patient risk category. The sensitivity of the classification is automatically maximized for a predetermined normal specificity.

Abstract: A method and system for analyzing a solution for an agglutination pattern. The method comprises the steps of producing an illuminated image of the solution on an array of pixels, and assigning to each pixel in the illuminated image, a data value representing the intensity of the illuminated image on the pixel. Those data values are then processed according to a predetermined program to determine if an agglutination pattern is present and, if so, to classify that pattern into one of a plurality of predefined classes. With the preferred processing procedure, the pixel array is separated into a plurality of zones, and the data values for the pixels in each zone are processed according to a respective predetermined procedure to determine values for a predefined set of variables. Then, those determined values are processed to determine whether an agglutination pattern is present in the solution, and if so, to classify that pattern into one of the predefined classes.

Abstract: A method and apparatus for detecting rare cells in a biological sample is disclosed. A color image of the sample is generated and the color image is decomposed into its color components. A first mask is then generated based upon a first color characteristic of the rare cells. At least one color component of the color image is filtered using the mask to produce at least a first composite image which contains features having the first color characteristic. At least a second mask is then generated based upon other color characteristics of the rare cells and at least the first composite image is filtered using at least the second mask to create at least a second composite image. The color and/or shape of features in the at least second composite image are analyzed and a list of locations of probable rare cells is generated from the color and/or shape analysis.

Abstract: An apparatus for analyzing blood includes an image capturing device for capturing an image including at least one object blood cell and an analyzer for analyzing the captured image as an image F(x, y) in an x-y coordinate system. The analyzer includes an edge calculator for calculating an edge intensity distribution E(x, y) representing an outline of the image F(x, y); a weight memory for storing in advance a weight distribution W(i, j) corresponding to an average outline of the object cell; an assessment value calculator for obtaining an assessment value C (x, y) at each point (x, y) by calculating a degree of correspondence between the edge intensity distribution E (x, y) and the weight distribution W(i, j) for each point (x, y); and an extractor for extracting a point (x, y) at which the assessment value C(x, y) is larger than a predetermined value, thereby determining that the object blood cell is present at the point (x, y). The apparatus is useful as a device for identifying the object blood cell.

Abstract: A sample liquid containing particles are caused to flow through a transparent flow cell. An image capturing device is used to capture different images for a single particle existing in an image capturing area of the flow cell. The image capturing device further preferably captures different images of the single particle from different directions. Further, the image capturing device can capture different images at different focal positions. The different images can include fluorescence images and chemiluminescence images.

Abstract: This invention relates to a method for autoclustering N-dimensional datastreams. The invention has particular utility in analyzing multi-parameter data from a flow cytometer, and more particularly has utility in analyzing data from whole blood cells tagged with fluorescently labelled CD3, CD4 and CD8 monoclonal antibodies to which a known number of fluorescent microbeads has been added.

Abstract: A laser scanning microscope provided with a laser light source, an illuminating optical system for condensing the light from the laser light source to form a light spot on a specimen, a scanning device for causing relative movement of the light spot with respect to the specimen, a photodetector for measuring the amount of light transmitted or reflected by the specimen, and an optical system with positive refraction power for guiding the light beam, transmitted or reflected by the specimen, to the light-receiving plane of the photodetector, wherein the photodetector is composed of a two-dimensional image sensor provided in a position displaced from the conjugate point of the light spot by such an amount that the light beam forms a far-field diffraction pattern of the specimen on the light-receiving plane of the photodetector.

Abstract: A method for automatic lineage assignment of acute leukemias. Eight four-parameter list mode data files are acquired with a flow cytometer in the following sequence: 1. unstained; 2. isotype controls; 3. CD10 FITC, CD19 PE; 4. CD20 FITC, CD5 PE; 5. CD3 FITC, CD22 PE; 6. CD7 FITC, CD33 PE; 7. HLADR FITC, CD13 PE and 8. CD34 FITC, CD38 PE. First, data files 3-8 are clustered employing an algorithm based on nearest neighbors. The clusters are then associated across the data files to form cell populations, using the assumption of light scatter invariance across tubes for each population. The mean positions of each cell population are compared to a decision tree which identifies normal cell populations. To identify leukemic cell populations, the algorithm eliminates normal cell populations from the data space and the remaining populations are classified as B-lineage ALL, T-lineage ALL, AML, AUL, B-CLL or unknown.

Abstract: A method and system for analyzing a solution for an agglutination pattern. The method comprises the steps of producing an illustrated image of the solution on an array of pixels, and assigning to each pixel in the illuminated image, a data value representing the intensity of the illuminated image on the pixel. Those data values are then processed according to a predetermined program to determine if an agglutination pattern is present and, if so, to classify that pattern into one of a plurality of predefined classes. With the preferred processing procedure, the pixel array is separated into a plurality of zones, and the data values for the pixels in each zone are processed according to a respective predetermined procedure to determine values for a predefined set of variables. Then, those determined values are processed to determine whether an agglutination pattern is present in the solution, and if so, to classify that pattern into one of the predefined classes.

Abstract: A method and an apparatus for analyzing a material within a container, such as blood within a capillary in a volumetric cytometry system provides for detecting the edges of the container, counting the cells within the container, characterizing the cells within the container, and evaluating channels of data which contain information relevant to more than one of the detectable characteristics of the cells. A scanner scans a container of material including certain cells. Sampling circuitry is coupled to the scanner to generate scanned images of the material in the container. Two or more scanned images are generated based on fluorescence data from dyes that have overlapping spectra. The two scanned images are processed using a linear regression analysis among corresponding pixels in the scanned images near certain cells to characterize relative contents of two fluorescing dyes in a target cell.

Abstract: A method and apparatus are provided for selecting and analyzing a subpopulation of cells or cell objects for a certain parameter such as DNA using image analysis means. The cells are first stained with an alkaline phosphatase technique including a monoclonal antibody specific to a protein in at least one of the cell's cytoplasm or on a cell membrane, thereby marking any cells including the protein as to type. A second staining of the DNA in the nucleus is accomplished by a Feulgen technique that destroys the cell cytoplasm. After the staining and marking, the cells may then be gated using the image analysis means on the visual parameter such as colored DNA or colored antigen into a subpopulation that is to be measured. The selected cells may then be examined by digital image processing and measured for a parameter such as a true actual measurement of DNA in picograms. A quantitation of the measured parameter may be generated and provided.

Abstract: In a pattern recognition apparatus constituted by a one-chip LSI (large scale integrated), product-sum calculations are performed between an input pattern to be recognized and a plurality of reference patterns by a product-sum circuit. The plurality of reference patterns are stored in an external memory used as a dictionary. The similarity values obtained by the product-sum calculations are subjected to floating processing in a floating circuit. The similarity values, which have undergone floating processing, are sorted in the order of larger magnitudes. The sorted similarity values are read out by a host CPU (central processing unit).