Super-Resolution & High-Speed Imaging in Plants Mini-Course

The Donald Danforth Plant Science Center’s Advanced Bioimaging Laboratory (ABL) is hosting a (5) week lecture/lab mini-course on super-resolution and high-speed imaging in plant research.

This course is tailored for plant scientists who have beginner and intermediate imaging experience, but expert microscopists with limited exposure to super-resolution microscopy could benefit as well. The course will primarily focus on the ZEISS Elyra7 capabilities.

A certificate of completion will be provided with full attendance.

• Lectures will be held Monday mornings from 9:00 am-10:30 am (CST) on October 2, October 9, October 16, October 23, and October 30, 2023. The Monday morning Lectures will be in a hybrid format (Landenberg Theater and Zoom) and cover theory and applications of super-resolution microscopy and high-speed imaging.
• Hands-on lab training modules will be performed on the ZEISS Elyra 7 and will be limited to 6 students ($250 fee with $50 non-refundable deposit applies). The training will include a (3) hour lab each week that will include relevant sample preparation, system operation, data processing and analysis. Priority will be given to scientists with near-term projects.

The following major topics will be covered:

Week 1 (10/02/23): Lecture/Lab Intro to the Principles of Optics, Fluorescence and Structured Illumination Microscopy (SIM)

Week 2 (10/09/23): Lecture/Lab Principles of Total Internal Reflection Fluorescence (TIRF)/Highly Inclined and Laminated Optical Sheet (HILO) and Single Molecule Localization Microscopy (SMLM)

Week 3 (10/16/23): Lecture/Lab Advanced Topics, High-speed Imaging, Burst Mode, Leap Mode, Stage Leveling, Multi-channel Alignment

Week 4 (10/23/23): Lecture/Lab Principles of Image Processing and Analysis, Applications, Quantification, Visualization and Artifacts with SIM and SMLM super-resolution microscopy

Week 5 (10/30/23): Lecture/Lab on Principals and Practice of Deconvolution and practical lab using SVI Huygens deconvolution module with confocal images.

Space is limited, register early! Registration deadline is Friday, September 1, 2023.