Scanning Services: The centerpiece of the INC is a Siemens Prismafit 3 Tesla magnetic resonance imaging (MRI) system equipped with 20- and 32-channel head coils. INC researchers use different types of images to explore the brain, including: functional MRI (fMRI) to measure brain activity related to various behaviors; diffusion tensor imaging (DTI) to understand the connectivity and architecture within the brain; and structural imaging to determine the locations and sizes of brain structures. INC researchers investigate brain activity and structure in healthy and clinical populations across all ages, from infants to older adults.
For directions to our facility, please click here.
INC’s storage and computing resources rely on services from INC staff, as well as infrastructure from CU Boulder’s Research Computing (RC) and Shared Infrastructure Services (SIS) divisions. Raw scanner data are synced daily with the PetaLibrary, a National Science Foundation-subsidized service for the storage, archiving, and sharing of research data managed by RC. INC maintains 575 TB of active storage on the PetaLibrary for storing the raw and processed data. This storage pool can be expanded on demand via a request to RC without incurring any down time. Additionally, INC maintains 100 TB of taped-backed archive storage on PetaLibrary (managed by RC) for backing up compressed archive data.
Analyses and processing of the data are done on an HPC computing cluster managed by Research Computing (Blanca), which consists of 12 INC-owned compute nodes (in addition to 2 dedicated login nodes). The compute nodes are heterogeneous; however, each node has 256GB of RAM and a minimum of a 2.4 GHz processor (5 nodes have a 2.6 GHz processor). Seven of the nodes have 32 processing cores, while the remaining 5 have 28 cores for a total of 364 compute cores. Software for data processing and analysis on Blanca includes: slurm workload manager, MatLab, R, Python, AFNI, FSL, SPM, CONN, fMRIPrep, HCP Pipeline, Caret, FreeSurfer, and many more containerized analysis pipelines.
Data and Analysis Services: Below is a list of data and analysis services offered at INC. For a more detailed description of what is included in each service, please click on the name of the service. Rates for each service are listed in the section below this summary. Clients do not need to scan with us in order to take advantage of these services (we have multiple ways of safely and securely transferring your scanner data onto our storage servers).
Data Storage Services: Measured in terabytes of managed storage on CU's PetaLibrary
Analysis assisted: Measure in core-hours. Our staff can develop and/or run specific neuroimaging analyses on a dedicated condo cluster (blanca-ics) (ex: BIDS conversion, fMRIPrep, HCP pipeline, FSL preprocessing pipeline, qsiPrep DTI preprocessing, FSL DTI preprocessing, CONN subject and group-level analyses).
Analysis unassisted: Measured in core-hours. Your own lab members can run analyses created by INC on blanca-ics.
Analysis unsupported: Measured in core-hours. Your own lab members can run analyses not developed by INC with no consideration to NIH compliance (ex: custom lab scripts, finite element analysis models) on blanca-ics.
Pre-emptive analysis on blanca-ics (no cost): Measured in core-hours. Your own lab members can run analyses on blanca-ics in a decreased priority setting (any paid analysis could bump the user off the resource).
To request PetaLibrary and blanca-ics access, please follow the instructions here.
Rates Fiscal Year 2022:
The rates below are monthly rates, which is how INC bills for scanning and other services. Note: the data storage rate is counted in total TBs used on PetaLibrary, not just new data added. Data added and deleted within the same month will not incur any cost.
|Item Name||Units of Sale||Internal Rate||External Federal Rate||External Non-Profit Rate||External Corporate Rate|
|Scanning||Hour||contact us||contact us||contact us||contact us|