THOMAS R SELLERS
Physician at Davis Blvd, Tampa, FL

License number
Florida 20554
Issued Date
Jun 3, 2014
Effective Date
Jun 3, 2014
Expiration Date
Jun 30, 2018
Category
Health Care
Type
Registration for Resident/HSE Physician
Address
Address
17 Davis Blvd SUITE 308, Tampa, FL 33606
Phone
(334) 467-5119

Professional information

Thomas Sellers Photo 1

Luminescence Characterization Of Quantum Dots Conjugated With Biomarkers For Early Cancer Detection

US Patent:
7655479, Feb 2, 2010
Filed:
Jun 30, 2005
Appl. No.:
11/160617
Inventors:
Tatyana A. Zhukov - Lutz FL, US
Sergei Ostapenko - Wesley Chapel FL, US
Rebecca Sutphen - Tampa FL, US
Johnathan Lancaster - Tampa FL, US
Thomas A. Sellers - Tampa FL, US
Jin Z. Zhang - Santa Cruz CA, US
Assignee:
University of South Florida - Tampa FL
H. Lee Moffitt Cancer Center and Research Institute, Inc. - Tampa FL
The Regents of the University of California - Oakland CA
International Classification:
G01N 33/551, G01N 33/553
US Classification:
436524, 436512, 436525, 436 64
Abstract:
Luminescent semiconductor quantum dots (QDs) conjugated with biomolecules to serve as sensitive probes for early detection of the cancer cells, specifically for ovarian cancer and lung cancer, which represents the most lethal malignancies. The luminescence characterization of the bin-conjugated QDs with cancer specific antigens using linkage molecules. Photo-enhancement is measured at various laser density power, temperatures and laser wavelengths.


Thomas Sellers Photo 2

Method For Assessing Breast Density

US Patent:
2013027, Oct 17, 2013
Filed:
Dec 15, 2011
Appl. No.:
13/994969
Inventors:
John J. Heine - New Port Richey FL, US
Thomas A. Sellers - Tampa FL, US
Assignee:
H. Lee Moffitt Cancer Center and Research Institute, Inc. - Tampa FL
International Classification:
G06T 7/00, G06F 17/18
US Classification:
382132, 702 19
Abstract:
Breast density is a significant breast cancer risk factor measured from mammograms. Evidence suggests that the spatial variation in mammograms may also be associated with risk. The variation in calibrated mammograms as a breast cancer risk factor was investigated and its relationship with other measures of breast density was explored using full field digital mammography (FFDM) as described herein. A matched case-control analysis was used to assess a spatial variation breast density measure in calibrated FFDM images, normalized for the image acquisition technique variation. The findings indicate the variation measure is a viable automated method for assessing breast density. Insights gained by this work may be used to develop a standard for measuring breast density.