Software Architecture
HeLx: BRAIN-I
Description
Through a collaboration called HeLx/BRAIN-I (pronounced brain-ee), the Stein Lab and the Neuroscience Microscopy Center uses RENCI’s HeLx framework to make high resolution microscopy images more manageable, shareable, and thereby more usable for research. The goal is to allow Stein to upload massive image files into BRAIN-I in order to view, share and analyze those images using Deep Learning methods, track and understand the origins of the data, and make the images and related analysis data discoverable to researchers at UNC and elsewhere. Use of the integrated Rule Oriented Data System (iRODS) also enables users to apply data management policies specific to the lab and the research project while keeping the data secure.
RENCI's Role
Ashok Krishnamurthy is co-PI and RENCI PI for HeLx/BRAIN-I. RENCI is developing HeLx/BRAIN-I in collaboration with Jason Stein, Michelle Itano and Guorong Wu. Currently, the computational analysis takes place on a RENCI high performance computing system equipped with three Nvidia Tesla graphical processing units (GPUs), which greatly speeds up the time of data processing. The HeLx/BRAIN-I system takes the 3D microscopy images and replicates that data onto a server at RENCI via iRODS.
