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T10 Super-resolution Imaging Methods & Analysis in Biological Physics

This tutorial will explain the physics behind the developments in super-resolution microscopy, their applications in biological physics, and the analysis of super-resolution imaging data.

Minneapolis Convention Center
Room 1012



  • Student Member: $90
  • All Others: $160

Recent advances, recognized by the Nobel Prize in Chemistry in 2014, in optics and fluorophore technologies have broken the “diffraction limit,” enabling researchers to view protein distributions, interactions, and dynamics at the single molecule level in living cells and organisms. This high-resolution view poses challenges for data analysis and interpretation that has benefited from insights from Physics. In this tutorial, we will go through the physics behind the developments in super-resolution microscopy, their applications in biological physics and the analysis of super-resolution imaging data. The tutorial will also feature a hands-on component, in which participants will analyze example datasets (localization microscopy, expansion microscopy, structured illumination, single particle tracking, smFRET). This tutorial will benefit graduate students, postdoctoral fellows and scientists who use or are considering the use of super-resolution imaging in cells, tissues, and whole organisms in their research.

Topics covered & speakers

  • Experimental advances and considerations in super-resolution (structured illumination, localization, and expansion microscopies): Suliana Manley, École Polytechnique Fédérale de Lausanne (EPFL)
  • Advances in structured illumination microscopy for widefield super-resolution imaging: Bo-Jui Chang, University of Texas Southwestern Medical Center
  • Inferring biological and physical information from images: Steve Presse, Arizona State University
  • Establishing and saturating parameter estimation bounds for single-molecule microscopy: Mikael Backlund, University of Illinois, Urbana Champaign


  • Arpita Upadhyaya, University of Maryland

More information


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