摘要:
A system and method for detecting poor quality images in an optical tomography system includes an acquisition apparatus for acquiring a set of pseudo-projection images of an object having a center of mass, where each of the set of pseudo-projection images is acquired at a different angle of view. A reconstruction apparatus is coupled to receive the pseudo-projection images, for reconstruction of the pseudo-projection images into 3D reconstruction images. A quality apparatus is coupled to receive the 3D reconstruction images and operates to detect of selected features that characterize poor quality reconstructions.
摘要:
A method for reconstructing three-dimensional (3D) tomographic images. A set of pseudo-projection images of an object is acquired. Error corrections are applied to the set of pseudo-projection images to produce a set of corrected pseudo-projection images. The set of corrected pseudo-projection images are processed to produce (3D) tomographic images.
摘要:
A classifier measures robustness responsive to object presentation effects and decision boundary effects. A cytological image analysis computer obtains objects of interest and classifies them responsive to a decision tree classifier. The robustness of classification is calculated dynamically as objects are classified responsive to a segmentation robustness and a classification decisiveness measure. The results of the decisiveness measure and the segmentation robustness data are combined to provide enhanced overall classification reliability.
摘要:
A method for 3D imaging of a biologic object (1) in an optical tomography system where a subcellular structure of a biological object (1) is labeled by introducing at least one nanoparticle-biomarker. The labeled biological object (1) is moved relatively to a microscope objective (62) to present varying angles of view and the labeled biological object (1) is illuminated with radiation having wavelengths between 150 nm and 900 nm. Radiation transmitted through the labeled biological object (1) and the microscope objective (62) within at least one wavelength bands is sensed with a color camera, or with a set of at least four monochrome cameras. A plurality of cross-sectional images of the biological object (1) from the sensed radiation is formed and reconstructed to make a 3D image of the labeled biological object (1).
摘要:
An optical tomography system for imaging an object of interest including a light source for illuminating the object of interest with a plurality of radiation beams. The object of interest is held within an object containing tube such that it is illuminated by the plurality of radiation beams to produce emerging radiation from the object containing tube, a detector array is located to receive the emerging radiation and produce imaging data used by a mechanism for tracking the object of interest.
摘要:
An optical tomography system for imaging an object of interest including a light source for illuminating the object of interest with a plurality of radiation beams. The object of interest is held within an object containing tube such that it is illuminated by the plurality of radiation beams to produce emerging radiation from the object containing tube, a detector array is located to receive the emerging radiation and produce imaging data used by a mechanism for tracking the object of interest.
摘要:
A method for reconstructing three-dimensional (3D) tomographic images. A set of pseudo-projection images of an object is acquired. Error corrections are applied to the set of pseudo-projection images to produce a set of corrected pseudo-projection images. The set of corrected pseudo-projection images are processed to produce (3D) tomographic images.
摘要:
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.
摘要:
A biological specimen classification strategy employs identification and integration of multiple cell patterns. An automated microscope acquires an image of a biological specimen such as a Pap smear and provides an image output to biological classifiers. The classifiers independently detect and classify a number of specimen types and provide classifications to an output field of view integrator. The integrator integrates the classifications. The integrated output then determines whether the classifiers should be reapplied to the image.
摘要:
Correcting pattern noise projection images includes acquiring a set of projection images with an optical tomography system including a processor, where each of the set of projection images is acquired at a different angle of view. A threshold is applied to each projection image produce a set of threshold images. Each threshold image may optionally be dilated to produce a set of dilated images that are summed to form an ensemble image. Each of the dilated images is processed to produce a set of binary images. The set of binary images are summed to form an ensemble mask. The ensemble image is divided by the ensemble mask to yield a background pattern noise image. Each projection image is multiplied by a scaling factor and divided by the background pattern noise to produce a quotient image that is filtered to produce a noise corrected projection image.