{"id": "package:fc6a9f8f-51ae-46a6-b367-471bb37dfa37", "name": "manifest.xlsx", "self_uri": "https://services.scicrunch.io/sparc/drs/v1/objects/fc6a9f8f-51ae-46a6-b367-471bb37dfa37", "size": 10409, "created_time": "2021-03-10T04:54:41,666564Z", "updated_time": "2021-03-10T04:54:43,908175Z", "version": "1", "mime_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "checksums": [{"checksum": "b33b5e064e4f119747a257f5718900691663b98a284e065efa48486d68e38eef", "type": "sha256"}], "access_methods": [{"type": "s3", "access_url": {"url": "s3://prd-sparc-discover50-use1/121/files/docs/manifest.xlsx"}, "region": "us-east-1"}], "dataset": {"id": "121", "doi": "DOI:10.26275/zxe9-o3ss", "title": "MicroCT imaging of rat stomach vasculature with Microfil MV-122", "description": "The stomach vasculature was filled at perfusion with a lead-containing silicone-based curable fluid (Microfil MV-122). Once the contrast medium was cured, the stomach was removed and fixed and subsequently imaged via microCT.", "abstract": "As part of the SPARC research, we are interested in understanding how the dimensions and anatomical features of the rat stomach vary as a function of feeding and elapsed time since feeding. Our measurements enable the generation of a 4D model of the rat stomach integrating anatomical details with 2D maps of neurite distributions and enteroendocrine cell distributions. This model can then be compared with the results of functional behavior mapping or used to predict preferred stimulation locations for gastric electrical stimulation experiments. In particular, there is evidence that nerve fiber bundles follow the path of the vasculature, hence identifying common vasculature pathways that could provide markers for electrical stimulation locations. In this study, the vasculature was filled at perfusion with a lead-containing silicone-based curable fluid (Microfil MV-122). Once the contrast medium was cured, the stomach was removed and fixed and subsequently imaged via microCT. Micro-CT images were saved in DICOM format and a subset was segmented using Vesselucida software. The data set includes 28 DICOM files collections (about 2.13 GB total when compressed), 10 XML files (about 2.8MB total), and DICOM views assembled into NIfTI-formatted files (2.74 GB)"}}