Abstract: The detection of optical stripes on an image of a glass slide of material of interest. An automated microscope system with an illuminator having a spatial intensity homogenizer provides spatially uniform illumination of a microscope slide specimen. Periodic optical patterns formed from the illumination system are detected by a computer system. The computer forms a high transmission mask of an image of the biological specimen. Edges in the image are detected and a low transmission area process is performed. Horizontal stripes are enhanced. A final thresholding generates a binary image of the patterns. Stripes in the patterns are detected an a stripe flag and strip area are calculated.

Abstract: An illumination device provides temporally, spatially and angularly stable illumination for microscopic evaluations. An arc lamp serves as the light source. An input optical train gathers and focuses the light through an aperture stop to place an image of the arc incident on an input aperture of a light pipe. The magnification of the arc lamp is chosen to reduce the variation due to occlusion. The light pipe spatially homogenizes the light while preserving the angular integrity. An exit window may be placed over the exit aperture of the light pipe to keep dust and debris out of focus. Another optical train receives the spatially homogenized, angularly preserved light and may focus a many arclet images to fill the pupil of a condenser lens. The condenser lens also may focus the exit aperture of the light pipe onto or near the specimen on a microscope slide. A feedback system samples the light and corrects for residual temporal variations by electronically modifying the image as it leaves a CCD.

Abstract: An automated biological specimen screener reports an assessment of slide and specimen preparation and quality. The automated biological specimen screener measures, parameters which reflect slide physical characteristics, specimen collection quality, and specimen preparation quality. The automated system reports an objective measure and uses a consistent standard of evaluation. The automated system evaluates characteristics of a slide set from a clinic. The automated system makes a determination of whether these characteristics are within a training capability of a given automated biological screener. Additionally, rather than periodic reviews, slides successfully scanned by the automated system may be used as part of a specimen preparation assessment.

Abstract: An automated method for checking cytological system autofocus integrity. The automated method includes the steps of checking focus illumination integrity, checking focus camera Modulation Transfer Function, checking focus camera position integrity, and checking closed loop accuracy. Checking focus illumination integrity includes checking focus illumination system integrity, and checking a focus noise floor level. Checking focus camera position integrity includes checking focus camera longitudinal separation, and checking focus camera lateral separation. Checking focus camera position integrity includes checking focus filter frequency response.

Abstract: A computer receives image data from a star-shaped optical target in the object plane and calculates angle-dependent boundary sharpness. The horizontal, x-direction, amplitude derivative and the vertical, y-direction, amplitude derivative are computed over a portion of each star pattern image from a Z panning sequence. A microscope slide stage, carrying the target, is moved vertically from a level just below where the target is in focus to a level just above where the target is in focus. For each small increment of vertical motion, Z panning, an image of the star pattern is captured for analysis. Computations are performed on the differentiated images to search for evidence of elongation of the point spread function and variation with stage Z position of the angle of long axis of such an out-of-round point spread function. The presence of a distorted point spread function that varies along the optical axis indicates astigmatism.

Abstract: Coverslip detection locating all four coverslip edges. A field of view processor receives image data from a charge coupled device camera. The charge coupled device camera images a slide and coverslip that is mounted on a movable frame. The slide and coverslip are illuminated from below with a uniform light source. The moveable frame is under computer control and moves in response to the field of view processor. The field of view processor locates the coverslip by first positioning the movable frame to view a portion of the slide on a predetermined potion of the slide within a predetermined area of the slide. The slide is then re-imaged after the movable frame moves the slide toward a chosen edge of direction. Edge type objects are located and followed over multiple fields of view. If the edge object satisfies a set of predetermined criteria the coverslip edge has been found. The edge is extended to find all four corners of the coverslip. The edge objects are processed using morphological operators.

Abstract: A cytological system dynamic normalization of a normal threshold. An analysis score from a slide is compared against a threshold to determine whether or not the slide is normal or requires microscopy review. The normal threshold is dynamically adjusted using a three step process. The process is implemented on an automatic cytology system. The first step is initial calibration of the system to determine an initial threshold. The second step is a running adjustment of the normal threshold in response to the presentation of new slides to the automatic cytology system. The third step is the batch certification of every slide. The threshold may be adjusted for an analysis score, a quality control score, or a screening score.