QI is an annual two-week intensive course at Cold Spring Harbor Laboratory that is focused (pun intended!) 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 cell and molecular biologists, biophysicists and bioengineers looking to learn quantitative imaging approaches.
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.
Topics 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
Financial Information: Financial aid is available to help offset tuition costs as follows:
- US applicants can apply for financial aid provided by the National Cancer Institute.
- Interdisciplinary Fellowships (transitioning from outside biology) & Scholarships (transitioning from other biological disciplines) are provided by the Helmsley Charitable Trust.
- International applicants can apply for financial aid provided by the Howard Hughes Medical Institute.
- Please indicate your eligibility for funding in your financial aid request submitted as part of your application materials. Financial aid requests do not affect selection decisions made by the instructors.