Abstract: Light from an object such as a cell moving through an imaging system is collected and dispersed so that it can be imaged onto a time delay and integration (TDI) detector. The light can be emitted from a luminous object or can be light from a light source that has been scattered or not absorbed by the object or can include a light emission by one or more probes within or on the object. Multiple objects passing through the imaging system can be imaged, producing both scatter images and dispersed images at different locations on one or more TDI detectors.

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.

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.

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.

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.

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.

Abstract: Improving accuracy of frequency response measurements of linear systems using modulation transfer function test compensation. An optical imaging system illuminates and images an input test pattern. A processor measures a modulation transfer function. The processor determines a compensating factor for error in the input test pattern duty cycle. The driving function for the measurement is a test pattern having a periodic waveform approximating a square wave with an error in duty cycle. A windowed fast fourier transform on a greyscale image of the test pattern generates odd harmonics. Adjusting amplitude values of the odd harmonics corrects for the error in resolution target duty cycle.

Abstract: The invention detects areas of interest at low magnification, locating possible abnormal cells or other cells of interest using image processing and statistical pattern recognition techniques. Next, at high magnification, the areas identified at low magnification are re-examined. The information from the low magnification and high magnification scans is collated and a determination is made about the slide--whether it is normal, abnormal, contains endocervical component, and so forth. The invention also provides a method and apparatus to train object feature and slide feature classifiers. The invention provides an automated cytology system that can process training slides for use in a feed back classifier development environment. The invention also can classify endocervical groups of cells.

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: 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 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: 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: 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: 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 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.

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 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: An automated apparatus for checking cytological system image collection integrity in an automated cytological system including an imaging apparatus controlled by a digital processor. The automated apparatus includes linearity checking apparatus, coupled to the imaging apparatus and the digital processor. System frequency response is checked using a modulation transfer function, where the sampling frequency may be determined by pixel size so as to allow the MTF to be determined beyond the sampling frequency of a system detector. A system signal to noise ratio is also checked for specific regions of the frequency spectrum.

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.