Abstract: Systems and methods for performing a surgical procedure to form a custom shaped cavity in an anatomical element are provided. A surgical tool may be oriented by a robotic arm in one direction along a first trajectory to remove a first portion of the anatomical element. The surgical tool may be oriented in at least one direction along a second trajectory to remove a second portion of the anatomical element to form a custom shaped cavity in the anatomical element.

Abstract: Systems and methods for setting an implant are provided. A robotic arm may automatically orient a screw head to a predetermined orientation relative to a pedicle screw. The screw head may be pivotably coupled to the pedicle screw. The robotic arm may lock the screw head in the predetermined position.

Abstract: Disclosed are methods of and systems for producing vegetation information for an area of interest using at least two comparison index values. The comparison index values can be generated based on specific reflectivity characteristics of vegetation relative to non-vegetation.

Abstract: Systems and methods for the growing of microorganisms such as algae, yeast, and bacteria are described. Seed fermentation units are associated with final fermentation ponds in various arrangements. Continuous, semicontinuous, fed batch, and batch modes of operation of the seed and final fermentations are included. Harvest methods for the cellular material and related products are described.

Abstract: A method and apparatus for automated cell analysis of biological specimens automatically scans at a low magnification to acquire images which are analyzed to determine candidate cell objects of interest. The low magnification images are converted from a first color space to a second color space. The color space converted image is then filtered. The candidate interest pixels are morphologically processed and compared to blob parameters to identify candidate objects of interest which correspond to cells or other structures relevant to medical diagnosis of the biological specimen. The location coordinates of the objects of interest are stored and additional images of the candidate cell objects are acquired at high magnification.

Abstract: A method, system, and apparatus are provided for automated light microscopic for detection of proteins associated with cell proliferative disorders.

Abstract: A method and apparatus for automated cell analysis of biological specimens automatically scans at a low magnification to acquire images which are analyzed to determine candidate cell objects of interest. The low magnification images are converted from a first color space to a second color space. The color space converted image is then low pass filtered and compared to a threshold to remove artifacts and background objects from the candidate object of interest pixels of the color converted image. The candidate object of interest pixels are morphologically processed to group candidate object of interest pixels together into groups which are compared to blob parameters to identify candidate objects of interest which correspond to cells or other structures relevant to medical diagnosis of the biological specimen. The location coordinates of the objects of interest are stored and additional images of the candidate cell objects are acquired at high magnification.

Abstract: A method and apparatus for automated cell analysis of biological specimens automatically scans at a low magnification to acquire images which are analyzed to determine candidate cell objects of interest. The low magnification images are converted from a first color space to a second color space. The color space converted image is then low pass filtered and compared to a threshold to remove artifacts and background objects from the candidate object of interest pixels of the color converted image. The candidate object of interest pixels are morphologically processed to group candidate object of interest pixels together into groups which are compared to blob parameters to identify candidate objects of interest which correspond to cells or other structures relevant to medical diagnosis of the biological specimen. The location coordinates of the objects of interest are stored and additional images of the candidate cell objects are acquired at high magnification.