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, April 4 – 17, 2018, Cold Spring Harbor Laboratory

Quantitative Imaging: From Acquisition to Analysis

April 4 – 17, 2018, Cold Spring HarborLaboratory

Application Deadline: January 31, 2018

Instructors:

Jennifer Waters, Harvard Medical School Hunter Elliott, Harvard Medical School Suliana Manley, EPFL, Switzerland Talley Lambert, Harvard Medical School

Teaching Assistants:

Anna Payne-Tobin Jost, Michael Weber, Marcelo Cicconet, Veronica Pessino & Jessica Hornick

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 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!

The course also includes a series of seminars highlighting applications of the methods we will discuss, including:

Suliana Manley, EPFL

Philipp Keller, Janelia Research Campus

Nathan Shaner, The Scintillon Institute

Florian Jug, MPI

Support & Stipends

-Major support provided by the National Cancer Institute -We welcome submission of stipend requests with course applications. Stipends are available to offset tuition costs as follows:

US applicants (National Cancer Institute) Interdisciplinary Fellowships (transitioning from outside biology)  & Scholarships (transitioning from other biological disciplines) (Helmsley Charitable Trust) International applicants (Howard Hughes Medical Institute)

To apply visit: https://meetings.cshl.edu/courses.aspx?course=C-ECG&year=17