Name
Abstract | ||
|---|---|---|
We present a fully modular and scalable software pipeline for processing electron microscope (EM) images of brain slices into 3D visualization of individual neurons and demonstrate an end-to-end segmentation of a large EM volume using a supercomputer. Our pipeline scales multiple packages used by the EM community with minimal changes to the original source codes. We tested each step of the pipeline individually, on a workstation, a cluster, and a supercomputer. Furthermore, we can compose workflows from these operations using a Balsam database that can be triggered during the data acquisition or with the use of different front ends and control the granularity of the pipeline execution. We describe the implementation of our pipeline and modifications required to integrate and scale up existing codes. The modular nature of our environment enables diverse research groups to contribute to the pipeline without disrupting the workflow, i.e. new individual codes can be easily integrated for each step on the pipeline. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/XLOOP51963.2020.00008 | 2020 IEEE/ACM 2nd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP) |
Keywords | DocType | ISBN |
Connectome,Workflow,Automation,Supercomputing | Conference | 978-1-6654-2283-3 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael Vescovi | 1 | 1 | 1.03 |
| Hanyu Li | 2 | 6 | 5.58 |
| Jeffery Kinnison | 3 | 1 | 1.04 |
| Murat Keçeli | 4 | 8 | 2.59 |
| Misha Salim | 5 | 0 | 0.34 |
| Narayanan Kasthuri | 6 | 62 | 7.11 |
| Thomas D. Uram | 7 | 95 | 11.29 |
| Nicola J. Ferrier | 8 | 181 | 24.79 |