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URL: https://b-heifets.github.io/UNRAVEL/
Proper Citation: UNRAVEL (RRID:SCR_029155)
Description: Software Python package and command-line toolkit for processing and analyzing three-dimensional brain imaging data, particularly cleared-tissue light-sheet fluorescence microscopy datasets. Supports image preprocessing, atlas registration, cell segmentation and quantification, voxel-wise statistical analysis, cluster characterization, and region-wise analysis of fluorescence intensity and cell density. UNRAVEL also facilitates integration of brain-wide imaging results with Allen Institute resources, including the Allen Brain Cell Atlas and neuronal connectivity datasets, to investigate the cellular and circuit-level organization of observed brain activity patterns.
Abbreviations: UNRAVEL
Synonyms: UN-biased high-Resolution Analysis and Validation of Ensembles using Light sheet images
Resource Type: software resource, software toolkit, source code
Defining Citation: PMID:37248402
Keywords: brain imaging, processing and analyzing three-dimensional brain imaging data, cleared-tissue light-sheet fluorescence microscopy,
Funding: NIDA K99DA056573; NIDA P50DA042012
Availability: Free, Available for download, Freely available
Resource Name: UNRAVEL
Resource ID: SCR_029155
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400