numeric, a subset of the structured data. text, discrete 5. robust security nominal, to prevent data discrete breaches. ordinal, discrete structured, binary large blobs (images and video). 5. data evolves over time in a highly variable fashion 1. high 1. high 1. legacy system 1. visualization 1. security and 1. human 1. 3D resolution performance and cloud for validation privacy annotations for visualization Pathology spatial image analysis to (computing and training protection for validation and rendering Imaging digitized extract spatial cluster) protected health on mobile pathology information 2. huge legacy information platforms images 2. spatial queries and new storage 2. various and analytics, such as SAN or image quality and feature HDFS (storage) analysis clustering and 3. high algorithms classification throughput 3. various 3. analytic network link image data processing on (networking) 17 formats huge 4. MPI image especially dimensional analysis, BIGTIFF with large dataset and MapReduce, structured data be able to Hive with spatial for analytical correlate with extension (sw results other data types pkgs) 4. image such as clinical analysis, data, -omic data. spatial queries and analytics, feature clustering and classification 1. distributed 1. 1. ImageJ, 1. 3D structural 1. significant but 1. workflow -- multi-modal OMERO, modeling optional security components include high resolution computing with VolRover, & privacy data acquisition, experimental responsive advanced including secure storage, Bioimaging sources of analysis segmentation and servers and enhancement, bioimages 2. segmentation feature detection anonymization minimizing noise (instruments). of regions of methods from 2. 50TB of data interest, applied math 18 data formats selection researchers.... include images. and extraction of Scalable features, and value and object object store databases classification, needed. and organization, 2. NERSC.s and search. Hopper 3. advance infrastructure
numeric, structured text, discrete nominal, discrete ordinal, discrete structured, binary large blobs (images and video). 5. data evolves over time in a highly variable fashion a subset of the data. 5. robust security to prevent data breaches. 17 Pathology Imaging 1. high resolution spatial digitized pathology images 2. various image quality analysis algorithms 3. various image data formats especially BIGTIFF with structured data for analytical results 4. image analysis, spatial queries and analytics, feature clustering and classification 1. high performance image analysis to extract spatial information 2. spatial queries and analytics, and feature clustering and classification 3. analytic processing on huge large dataset and be able to correlate with other data types such as clinical data, -omic data. 1. legacy system and cloud (computing cluster) 2. huge legacy and new storage such as SAN or HDFS (storage) 3. high throughput network link (networking) 4. MPI image analysis, MapReduce, Hive with spatial extension (sw pkgs) 1. visualization for validation and training 1. security and privacy protection for protected health information 1. human annotations for validation 1. 3D visualization and rendering on mobile platforms 18 Bioimaging 1. distributed multi-modal high resolution experimental sources of bioimages (instruments). 2. 50TB of data data formats include images. 1. computing with responsive analysis 2. segmentation of regions of interest, selection and extraction of features, and object classification, and organization, and search. 3. advance 1. ImageJ, OMERO, VolRover, advanced segmentation and feature detection methods from applied math researchers.... Scalable and object store databases needed. 2. NERSC.s Hopper infrastructure 1. 3D structural modeling 1. significant but optional security & privacy including secure servers and anonymization 1. workflow components include data acquisition, storage, enhancement, minimizing noise -- dimensional value