The goal of this project is to develop a method capable of turning high resolution fluorescence images of human mammary epithelial tissue into tissue-maps which report the probable nonneoplastic, premalignant and malignant phenotype at cellular resolution. Our long term goal is to aid the treatment decision process of breast cancer patients by providing pathologists with a phenotype tissue-map, based on nuclear protein organization, to aid and support the histological classification of biopsied breast tissue.

Principal Investigator:
David W Knowles PhD,
BioImaging Group, Life Sciences,
Lawrence Berkeley National Lab
dwknowles at
Image-based screening of mammary tumors  
NCI 2006 - 2009

Novel image avalysis to link sub-nuclear distribution of proteins with cell phenotype in mammary cancer

DOD-BCRP 2003-2006

Chronological List of Experiments

Breast Cancer Project in the News:
Knowles presents a new image analysis technique for breast cancer research. Philidelphia, June 8-11, Knowles presents at Era of Hope. The meeting, sponsored by the U.S. Department of Defense Breast Cancer Research Program, has the second largest funding agency for breast cancer research in the country.

March 6, 2006
Press Release:

New cell imaging method identifies aggressive cancer cells early

WEST LAFAYETTE, Ind. – Fluorescence that illuminates a specific protein within a cell's nucleus may be a key to identifying cancer virulence and to developing individualized treatment, according to researchers at Purdue University and Lawrence Berkeley National Laboratory.
Berkeley Lab Making a Difference:
Scientists Pave Way for Early Cancer Detection
By Dan Krotz
A diagnostic test that exposes the first inkling of cancer in a cell’s nucleus could someday become a reality, thanks to a team of Berkeley Lab and Purdue University scientists who developed a way to automatically map the three-dimensional distribution of proteins within the nuclei of human mammary cells.