Workflow automation and portability enable high throughput image processing and segmentation for cell biology systems

August 05, 2019

Benjamin Provencher(1), Ruslana Makovetsky(1), Eric Yen(1), Nicolas Piché(2), Mike Marsh(2)
Microscopy and Microanalysis, 25, Supplement 2, August 2019: 1388-1389. DOI: 10.1017/S1431927619007670


Large scale image collection presents image analysis and annotation challenges across scientific domains, but applications in cell biology are uniquely challenging because processing routines often fail to accurately label subcellular components, leaving this task to painstaking manual processes. When advanced techniques are developed, they are often implemented as academic solutions where there is no long-term support for installation and portability to share them across the scientific community. Here we describe sharable software tools that automate image processing and segmentation (and more generic workflows), either in real-time as images are being collected or in batch for offline processing.

Author Affiliation

(1) Object Research Systems. Montreal, Canada.
(2) Object Research Systems. Denver, USA.