April 27th | 8:00 AM PT / 11:00 AM ET | via Zoom



Come learn more about 3D image analysis tools and how they can help improve reproducibility at this two-hour online workshop hosted by the Light Microscopy Research Group of the ABRF!

This event will be centered around the LMRG’s ongoing study of reproducibility in 3D image analysis in which we seek to characterize and identify sources of (ir)reproducibility in 3D segmentation. Try your hand at analyzing the study images and then attend the workshop to see how the pros would do it. Representatives from several major 3D analysis platforms will walk attendees through how to segment and analyze the images from our study and will discuss how their platforms support reproducible image analysis. These demonstrations will occur simultaneously in breakout rooms and attendees may choose up to two to attend. There will also be an open session at the conclusion of the program during which attendees may visit and talk with any representative they like. Note that the platforms will not be competing against each other–the purposes of the event are instructional/informational and to promote reproducibility in image analysis.

We will host representatives from the following platforms: ImageJ/FIJI, Napari, CellProfiler, Arivis, Imaris, Leica, and Volocity.

This event is targeted to people who are interested in learning more about a specific image analysis platform, learning how to use an image analysis tool better, and/or learning about how reproducibility is addressed by these platforms.

We strongly encourage attendees to participate in the study before the event so that you are familiar with the image analysis problem. Attendees who participate in the study before the event will be entered in a $50 Amazon gift card drawing. (If you’ve already participated in the study and didn’t win in our last drawing, you’re automatically entered.)

If you have questions about the event, please contact Jessica Hornick.

The event will take place on April 27th at 8:00 AM Pacific Time / 11:00 AM Eastern Time via Zoom. Register for the eventhere!