Continuous development of nTracer2 and its deployment at NIH image repositories

University Of Michigan At Ann Arbor, Ann Arbor MI

Investigators

Linked publications, trials & patents

Abstract

Abstract In response to the BRAIN Initiative “Integration and Analysis of BRAIN Initiative Data” FOA, we propose further developing nTracer2, a cloud-based platform for brain image visualization and neuron tracing in the web browser. To evaluate nTracer2’s real-world performance, we deployed nTracer2 at the NIH Brain Image Library (BIL) at the Pittsburgh Supercomputer Center to handle whole mouse brain fMOST fluorescence image datasets. In a public data access test, up to 50 users across the globe smoothly explored this dataset simultaneously. In this project, our team will work on four Aims. In Aim 1, we will establish our novel SISF data framework as a scalable image data standard, which includes creating better data format conversion tools, compression filters, and documentation for SISF. In Aim 2, we will continue to develop the nTracer2 (content delivery network) CDN server, which includes upgrading the data management interface and optimizing the performance of the reconstruction database. In Aim 3, we will continue to develop the nTracer2 application server, which includes developing user management tools, optimizing high-performance computing performance for existing brain registration and machine vision functions, integrating imaging datasets taken by multimodal microscopy modalities, and expanding its neuroinformatics functions. In Aim 4, we will deploy full-stack nTracer2 at BIL and integrate CCF-registered multimodal datasets stored at multiple NIH repositories.