Contact Info

Edward Brown III, Ph.D. Department of Biomedical Engineering University of Rochester work Box 270168 601 Elmwood Ave Rochester, NY 14642 office: MC 5-7224A p +1-585-273-5918 f +1-585-273-4746

Recent Publications

    • Chauhan VP
    • Lanning RM
    • Diop-Frimpong B
    • Mok W
    • Brown EB
    • Padera TP
    • Boucher Y
    • Jain RK
    (2009 Jul 07). Multiscale measurements distinguish cellular and interstitial hindrances to diffusion in vivo. Biophys J. 97, 330-6.
    • Sullivan KD
    • Sipprell WH
    • Brown EB
    • Brown EB
    (2009 Jun 16). Improved model of fluorescence recovery expands the application of multiphoton fluorescence recovery after photobleaching in vivo. Biophys J. 96, 5082-94.
    • Han X
    • Burke RM
    • Zettel ML
    • Tang P
    • Brown EB
    (2008 Jun 10). Second harmonic properties of tumor collagen: determining the structural relationship between reactive stroma and healthy stroma. Opt Express. 16, 1846-59.
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Graduate Students

  • Photo of Ryan Burke

    Ryan Burke

    Pro-angiogenic signaling in breast tumor endothelial cells

  • Photo of Xiaoxing Han

    Xiaoxing Han

    Living tumor collagen Second Harmonic Generation imaging and its application to the study of tumor metastasis

  • Photo of Javier Soto

    Javier Soto

    The use of two-photon microscopy to study endothelial cell calcium dynamics and angiogenesis in breast cancer

  • Photo of Kelley Sullivan

    Kelley Sullivan

    Two-photon fluorescence microscopy and diffusion of macromolecules in solid tumors

  • Photo of Mercedes Szpunar

    Mercedes Szpunar

    Women's and developmental health, and their environmental influences

Edward Brown

Photo of Edward Brown
  • Assistant Professor

    • Biomedical Engineering
    • Neurobiology & Anatomy

Brown Lab

Research Overview

Our research program focuses on the application of multiphoton laser-scanning microscopy (MPLSM) to the study of biological processes in vivo, i.e. in living, intact tissue. We undertake the creation of novel MPLSM-based techniques, as well as their application to the study of tumor biology in vivo, with an emphasis on the biology and biophysics of breast cancer.