Abstract: Embodiments related to methods of use of an image analysis system for identifying residual cancer cells after surgery are disclosed. In some embodiments, a patient-specific threshold used to detect abnormal cells in a surgical site can be determined. A medical imaging device can be configured to produce a set of images of an anatomy of a patient. An image analysis system, comprising one or more processors, can be configured to receive the set of images, and analyze the set of images to determine a patient-specific threshold to use to detect abnormal tissue of the patient.

Abstract: Embodiments related to methods of use of an image analysis system for identifying residual cancer cells after surgery are disclosed. In some embodiments, the image analysis system collects a surgical site image and indicates on a display one or more locations of the identified cancer cells. In some embodiments, the method for identifying residual cancer cells comprises determining and selecting a portion of the surgical site image responsive to an intensity parameter; modifying the selected portion of the surgical site image to determine one or more groups of residual cancer cells based on size; and identifying at least one of the one or more groups of residual cancer cells from the modified portion of the surgical site image using a local-based threshold.

Abstract: Embodiments related to medical imaging devices including rigid imaging tips and their methods of use for identifying abnormal tissue within a surgical bed are disclosed.

Abstract: The invention provides systems and methods for the removal of diseased cells during surgery.

Abstract: The present invention provides compositions and methods for imaging tumor resections.

Abstract: Embodiments related to methods of use of an image analysis system for identifying residual cancer cells after surgery are disclosed. In some embodiments, the image analysis system collects a surgical site image and indicates on a display one or more locations of the identified cancer cells. In some embodiments, the method for identifying residual cancer cells comprises determining and selecting a portion of the surgical site image responsive to an intensity parameter; modifying the selected portion of the surgical site image to determine one or more groups of residual cancer cells based on size; and identifying at least one of the one or more groups of residual cancer cells from the modified portion of the surgical site image using a local-based threshold.

Abstract: Embodiments related to methods of use of an image analysis system for identifying residual cancer cells after surgery are disclosed. In some embodiments, a patient-specific threshold used to detect abnormal cells in a surgical site can be determined. A medical imaging device can be configured to produce a set of images of an anatomy of a patient. An image analysis system, comprising one or more processors, can be configured to receive the set of images, and analyze the set of images to determine a patient-specific threshold to use to detect abnormal tissue of the patient.

Abstract: Embodiments related to methods of use of an image analysis system for identifying residual cancer cells after surgery are disclosed. In some embodiments, a patient-specific threshold used to detect abnormal cells in a surgical site can be determined. A medical imaging device can be configured to produce a set of images of an anatomy of a patient. An image analysis system, comprising one or more processors, can be configured to receive the set of images, and analyze the set of images to determine a patient-specific threshold to use to detect abnormal tissue of the patient.

Abstract: Embodiments related to methods of use of an image analysis system for identifying residual cancer cells after surgery are disclosed. In some embodiments, the image analysis system collects a surgical site image and indicates on a display one or more locations of the identified cancer cells. In some embodiments, the method for identifying residual cancer cells comprises determining and selecting a portion of the surgical site image responsive to an intensity parameter; modifying the selected portion of the surgical site image to determine one or more groups of residual cancer cells based on size; and identifying at least one of the one or more groups of residual cancer cells from the modified portion of the surgical site image using a local-based threshold.

Abstract: The present invention provides compositions and methods for imaging tumor resections.

Abstract: Embodiments related to medical imaging devices including rigid imaging tips and their methods of use for identifying abnormal tissue within a surgical bed are disclosed. A barrier for an imaging device may include an optically transparent window configured to be removably attached to a distal portion of the imaging device. The barrier may also include a flexible barrier secured to the optically transparent window configured to cover portions of the imaging device located proximal relative to the optically transparent window. The barrier may include a second flexible barrier secured to the optically transparent window and disposed over at least a portion of the first flexible barrier.

Abstract: Embodiments related to sterilizable handheld medical imaging devices including a rigid imaging tip, a sealed housing, and/or a sealed cable assembly as well as their methods of use and manufacture are described.

Abstract: Calibration imaging tips and related methods of use are described. In some embodiments, a calibration imaging tip may be positioned on a distal end portion of an imaging device to place a calibration surface within a predetermined distance of a focal plane of the imaging device. The imaging device may then be calibrated using one or more images of the calibration surface.

Abstract: The present invention provides compositions and methods for imaging tumor resections.

Abstract: Embodiments related to medical imaging devices including rigid imaging tips and their methods of use for identifying abnormal tissue within a surgical bed are disclosed.

Abstract: The invention provides systems and method for the removal of diseased cells during surgery

Abstract: Embodiments related to medical imaging devices including rigid imaging tips and their methods of use for identifying abnormal tissue within a surgical bed are disclosed.

Abstract: The invention provides systems and method for the removal of diseased cells during surgery.

Abstract: Embodiments related to methods of use of an image analysis system for identifying residual cancer cells after surgery are disclosed. In some embodiments, the image analysis system collects a surgical site image and indicates on a display one or more locations of the identified cancer cells. In some embodiments, the method for identifying residual cancer cells comprises determining and selecting a portion of the surgical site image responsive to an intensity parameter; modifying the selected portion of the surgical site image to determine one or more groups of residual cancer cells based on size; and identifying at least one of the one or more groups of residual cancer cells from the modified portion of the surgical site image using a local-based threshold.

Abstract: Embodiments related to medical imaging devices including rigid imaging tips and their methods of use for identifying abnormal tissue within a surgical bed are disclosed.