About the ELMI

ELMI was created in 2001 to establish a unique communication network between European scientists working in the field of light microscopy and the manufacturers of their equipment.

Quantitative Imaging: From Acquisition to Analysis, 24 March – 7 April 2020, Cold Spring Harbor Laboratory, USA

, by sterjung in Courses and Workshops

Application & Materials Deadline: January 31, 2020

Instructors:

  • Jennifer Waters, Harvard Medical School
  • Florian Jug, Max Planck Institute, Dresden, Germany
  • Hunter Elliott, PathAI, Inc
  • Talley Lambert, Harvard Medical School

Co-Instructor:
Suliana Manley, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland

See the roll of honor – who’s taken the course in the past.

Follow us on Twitter @QIatCSHL

Combining careful image acquisition with rigorous computational analysis allows extraction of quantitative data from light microscopy images that is far more informative and reproducible than what can be seen by eye. This course will focus on advanced quantitative fluorescence microscopy techniques used for imaging a range of biological specimens, from tissues to cells to single molecules. The course is designed for quantitative cell and molecular biologists, biophysicists and bioengineers.

We provide a thorough treatment of the complete process of quantitative imaging, from the photons emitted from the sample to the extraction of biologically meaningful measurements from digital images. Material is covered in lectures, discussion groups and hands-on quantitative exercises using commercial microscopes and open-source image analysis tools.

Concepts Covered Include:

  • Widefield fluorescence microscopy
  • Laser scanning and spinning disk confocal microscopy
  • CCD, EM-CCD & sCMOS cameras
  • Total internal reflection fluorescence microscopy (TIRF)
  • Light sheet microscopy
  • Super-resolution microscopy (structured illumination, STED & localization microscopy)
  • Imaging and analyzing ratiometric “biosensors” (including FRET)
  • Fluorescent proteins and live sample imaging
  • Image processing (filtering, de-noising, corrections, deconvolution)
  • Image segmentation
  • Quantitative shape and intensity measurements
  • Object detection and tracking
  • Machine learning
  • Designing and troubleshooting quantitative imaging experiments
  • …and more!

For additional information please check the course page.

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