Ìý
Session Details:
From Images to Insights: Working with Large Multi-modal Data in Cell Biological Imaging
ORGANIZERS:
Kedar Narayan, NIH/NCI & FNL
Cam Robinson, St. Jude Children's Research Hospital
Jonathan Lefman, nvidia
"So, you've collected these massive multi-modal image data sets. Now what?" Biological imaging is producing ever larger data sets but is also quickly becoming multi-modal, with disparate imaging technologies being often utilized. Yet the ability to handle and analyze these data often lags far behind, especially in smaller labs and core facilities. Appropriate integration and correlation of disparate data streams at various scales, and portability of automated solutions remain daunting. This symposium aims to address issues and solutions stemming from large and multi-modal image data in cell biology, including image processing, correlation, segmentation/visualization and analysis, especially in the context of open-source options.
INVITED SPEAKERS
- Christian Tischer, EMBL
- Gerard Kleywegt, EBI
- Wei-Chung Lee, FM. Kirby Neurobiology Center, Harvard Medical School, Boston Children's Hospital
- Bryan Jones, Moran Eye Center, University of Utah
- Josh Moore, University of Dundee
