Reconstruction of Mammary Gland Structure Using Three-Dimensional Computer-Based Microscopy

Abstract

During the administrative funding period of this grant we have developed a system that permits three-dimensional reconstruction of entire the entire murine ductal epithelium from physical tissue sections. The system reduces the interaction required for low- resolution imaging of H&E stained sections, registration of images of consecutive sections and annotation of tissue structures -i.e. morphologically normal ducts and intraductal tumors-in the images. In addition, we have developed fully automatic tools for image registration and annotation that are now being integrated in our system and used in the reconstruction of the latest tissue specimens. Complementing morphological H&E based reconstruction, our system can be used for morphologically driven acquisition of high- resolution images from immunostained intermediate sections, both using fluorescence and brightfield microscopy. To show the use of our system, we have used it to compare the whole-gland distribution of hormone receptors (ER and PR) in the development of the mouse mammary gland. For that, we have imaged and quantified the whole-gland cell-by-cell ER and PR status of the mammary gland as it evolves through puberty to maturity and into menopause.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA430580

Entities

People

  • Carlos O. De Solorzano

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Biological Sciences
  • Breast Cancer
  • Computational Science
  • Computers
  • Electronic Mail
  • Graphical User Interface
  • Health Services
  • High Resolution
  • Histology
  • Image Processing
  • Low Resolution
  • Mammary Glands
  • Medical Personnel
  • Optics
  • Stem Cells
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Medicine
  • Physics

Readers

  • Breast cancer cell signaling and growth regulation.
  • Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.