Lumicell, Inc.

David B Strasfeld

W David Lee

Jorge M Ferrer

Jorge Ferrer

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.

System and method for thresholding for residual cancer cell detection

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.

System and method for residual cancer cell detection

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.

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Cambridge, MA, United States of America

David B Strasfeld