Patents by Inventor Sandeep Varma

Sandeep Varma has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10012591
    Abstract: The disclosure relates to measurement and classification of tissue structures in samples using a combination of light imaging and spectroscopy, in particular although not necessarily exclusively for detection of tumors such as basal cell carcinoma or breast tumors in tissue samples. Embodiments disclosed include a method of automatically identifying tissue structures in a sample, the method comprising the steps of: measuring (1702, 1703) a response of an area of the sample to illumination with light; identifying (1704) regions within the area having a measured response within a predetermined range; determining (1705) locations within the identified regions; performing (1706) spectroscopic analysis of the sample at the determined locations; and identifying (1707) a tissue structure for each region from the spectroscopic analysis performed on one or more locations therein.
    Type: Grant
    Filed: March 21, 2014
    Date of Patent: July 3, 2018
    Assignees: The University of Nottingham, Royal Holloway University of London
    Inventors: Ioan Notingher, Kenny Kong, Christopher Rowlands, Hywel Williams, Iain Leach, Sandeep Varma, William Perkins, Alexey Koloydenko
  • Publication number: 20160290926
    Abstract: The disclosure relates to measurement and classification of tissue structures in samples using a combination of light imaging and spectroscopy, in particular although not necessarily exclusively for detection of tumours such as basal cell carcinoma or breast tumours in tissue samples. Embodiments disclosed include a method of automatically identifying tissue structures in a sample, the method comprising the steps of: measuring (1702, 1703) a response of an area of the sample to illumination with light; identifying (1704) regions within the area having a measured response within a predetermined range; determining (1705) locations within the identified regions; performing (1706) spectroscopic analysis of the sample at the determined locations; and identifying (1707) a tissue structure for each region from the spectroscopic analysis performed on one or more locations therein.
    Type: Application
    Filed: March 21, 2014
    Publication date: October 6, 2016
    Applicants: The University of Nottingham, Royal Holloway University of London
    Inventors: Ioan NOTINGHER, Kenny KONG, Christopher ROWLANDS, Hywel WILLIAMS, Iain LEACH, Sandeep VARMA, William PERKINS, Alexey KOLOYDENKO
  • Publication number: 20120143082
    Abstract: A new method of Raman micro spectroscopy for the detection and imaging of Basal Cell Carcinoma (BCC) comprises the application of a multivariate supervised statistical classification model to distinguish between dermis, epidermis and BCC. The resulting Raman images provide a tool for the automated and objective evaluation of a tissue sample.
    Type: Application
    Filed: May 13, 2010
    Publication date: June 7, 2012
    Inventors: Ioan Notingher, Hywel Williams, William Perkins, Sandeep Varma