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  • Seeking the cellular mechanisms of disease, with help from machine learning

    Posted:
    April 6, 2021

      Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness Image: Adam Glanzman Caroline Uhler’s research blends machine learning and statistics with biology to better understand gene regulation, health, and disease. Despite this lofty mission, Uhler remains dedicated to her original career passion: teaching. “The students at MIT…

    Read more: Seeking the cellular mechanisms of disease, with help from machine learning

  • Method offers inexpensive imaging at the scale of virus particles

    Posted:
    March 29, 2021

       Image: Ella Maru Studio, Credit: Ruixuan Guo and Boyden Lab Using an ordinary light microscope, MIT engineers have devised a technique for imaging biological samples with accuracy at the scale of 10 nanometers — which should enable them to image viruses and potentially even single biomolecules, the researchers say.   The new technique builds…

    Read more: Method offers inexpensive imaging at the scale of virus particles

  • Imaging method reveals a “symphony of cellular activities”

    Posted:
    November 23, 2020

      Fluorescent imaging technique simultaneously captures different signal types from multiple locations in a live cell.        Within a single cell, thousands of molecules, such as proteins, ions, and other signaling molecules, work together to perform all kinds of functions — absorbing nutrients, storing memories, and differentiating into specific tissues, among many others.…

    Read more: Imaging method reveals a “symphony of cellular activities”

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