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Research data supporting: "In vivo assessment of deep vascular patterns in murine colitis using optoacoustic mesoscopic imaging"

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This readme file was generated on [2024-04-29] by Adrian Buehler GENERAL INFORMATION Data collected for the publication "In vivo assessment of deep vascular patterns in murine colitis using optoacoustic mesoscopic imaging": Author Information Name: Adrian P. Regensburger ORCID: 0000-0001-8244-1261 Institution: Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg Address: Loschgestraße 15, 91054 Erlangen, Germany Email: adrian.regensburger@uk-erlangen.de Author Information Name: Sarah E. Bohndiek ORCID: 0000-0003-0371-8635 Institution: Department of Physics and CRUK Cambridge Institute, University of Cambridge Address: J Thomson Avenue, Cambridge CB3 0HE, United Kingdom Email: seb53@cam.ac.uk Date of data collection: From 2022-03-23 to 2022-04-21 Geographic location of data collection: CRUK Cambridge Institute, University of Cambridge, UK Information about funding sources that supported the collection of the data: Interdisciplinary Center for Clinical Research (IZKF) at the University Hospital of the Friedrich-Alexander-Universität (FAU) (J89) Else Kröner-Fresenius-Stiftung funded APR Cancer Research UK (C9545/A29580) funded EB, MEO, and SEB SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: CC BY Links to publications that cite or use the data: https://linkprotect.cudasvc.com/url?a=https%3a%2f%2fdoi.org%2f10.1002%2fadvs.202300564&c=E,1,zGLTufTpWY7r1JvOOItUW6g10YhWLov8OeaLrkbBwf59kp350RI3a3b4zF9OMx5b-wdoxBw7A0gcwb0Ly19vTmP8-VZfrTBOEGEU7Tdfaz4u6A,,&typo=1 DATA & FILE OVERVIEW File List (with dimensions): mild_0_00_i.tif (300, 600, 924 (XYZ)) mild_0_00_w.tif (300, 600, 924 (XYZ)) mild_0_09_i.tif (300, 600, 924 (XYZ)) mild_0_09_w.tif (300, 600, 924 (XYZ)) mild_1_00_i.tif (300, 600, 924 (XYZ)) mild_1_00_w.tif (300, 600, 924 (XYZ)) mild_1_09_i.tif (300, 600, 924 (XYZ)) mild_1_09_w.tif (300, 600, 924 (XYZ)) mild_2_00_i.tif (300, 600, 924 (XYZ)) mild_2_00_w.tif (300, 600, 924 (XYZ)) mild_2_09_i.tif (300, 600, 924 (XYZ)) mild_2_09_w.tif (300, 600, 924 (XYZ)) mild_3_00_i.tif (300, 600, 924 (XYZ)) mild_3_00_w.tif (300, 600, 924 (XYZ)) mild_3_09_i.tif (300, 600, 924 (XYZ)) mild_3_09_w.tif (300, 600, 924 (XYZ)) mild_4_00_i.tif (300, 600, 924 (XYZ)) mild_4_00_w.tif (300, 600, 924 (XYZ)) mild_4_09_i.tif (300, 600, 924 (XYZ)) mild_4_09_w.tif (300, 600, 924 (XYZ)) mild_5_00_i.tif (300, 600, 924 (XYZ)) mild_5_00_w.tif (300, 600, 924 (XYZ)) mild_5_09_i.tif (300, 600, 924 (XYZ)) mild_5_09_w.tif (300, 600, 924 (XYZ)) mild_6_00_i.tif (300, 600, 924 (XYZ)) mild_6_00_w.tif (300, 600, 924 (XYZ)) mild_6_09_i.tif (300, 600, 924 (XYZ)) mild_6_09_w.tif (300, 600, 924 (XYZ)) mild_7_00_i.tif (300, 600, 924 (XYZ)) mild_7_00_w.tif (300, 600, 924 (XYZ)) mild_7_09_i.tif (300, 600, 924 (XYZ)) mild_7_09_w.tif (300, 600, 924 (XYZ)) mild_8_00_i.tif (300, 600, 924 (XYZ)) mild_8_00_w.tif (300, 600, 924 (XYZ)) mild_8_09_i.tif (300, 600, 924 (XYZ)) mild_8_09_w.tif (300, 600, 924 (XYZ)) mild_9_00_i.tif (300, 600, 924 (XYZ)) mild_9_00_w.tif (300, 600, 924 (XYZ)) mild_9_09_i.tif (300, 600, 924 (XYZ)) mild_9_09_w.tif (300, 600, 924 (XYZ)) severe_0_00_i.tif (400, 600, 924 (XYZ)) severe_0_00_w.tif (400, 600, 924 (XYZ)) severe_0_07_i.tif (300, 600, 924 (XYZ)) severe_0_07_w.tif (300, 600, 924 (XYZ)) severe_0_21_i.tif (300, 600, 924 (XYZ)) severe_0_21_w.tif (300, 600, 924 (XYZ)) severe_0_28_i.tif (300, 600, 924 (XYZ)) severe_0_28_w.tif (300, 600, 924 (XYZ)) severe_1_00_i.tif (400, 600, 924 (XYZ)) severe_1_00_w.tif (400, 600, 924 (XYZ)) severe_1_07_i.tif (400, 600, 924 (XYZ)) severe_1_07_w.tif (400, 600, 924 (XYZ)) severe_1_21_i.tif (300, 600, 924 (XYZ)) severe_1_21_w.tif (300, 600, 924 (XYZ)) severe_1_28_i.tif (300, 600, 924 (XYZ)) severe_1_28_w.tif (300, 600, 924 (XYZ)) severe_2_00_i.tif (300, 600, 924 (XYZ)) severe_2_00_w.tif (300, 600, 924 (XYZ)) severe_2_07_i.tif (300, 600, 924 (XYZ)) severe_2_07_w.tif (300, 600, 924 (XYZ)) severe_2_21_i.tif (300, 600, 924 (XYZ)) severe_2_21_w.tif (300, 600, 924 (XYZ)) severe_2_28_i.tif (300, 600, 924 (XYZ)) severe_2_28_w.tif (300, 600, 924 (XYZ)) severe_3_00_i.tif (300, 600, 924 (XYZ)) severe_3_00_w.tif (300, 600, 924 (XYZ)) severe_3_07_i.tif (300, 600, 924 (XYZ)) severe_3_07_w.tif (300, 600, 924 (XYZ)) severe_3_21_i.tif (300, 600, 924 (XYZ)) severe_3_21_w.tif (300, 600, 924 (XYZ)) severe_3_28_i.tif (300, 600, 924 (XYZ)) severe_3_28_w.tif (300, 600, 924 (XYZ)) severe_4_00_i.tif (300, 600, 924 (XYZ)) severe_4_00_w.tif (300, 600, 924 (XYZ)) severe_4_07_i.tif (300, 600, 924 (XYZ)) severe_4_07_w.tif (300, 600, 924 (XYZ)) severe_4_21_i.tif (300, 600, 924 (XYZ)) severe_4_21_w.tif (300, 600, 924 (XYZ)) severe_4_28_i.tif (300, 600, 924 (XYZ)) severe_4_28_w.tif (300, 600, 924 (XYZ)) severe_5_00_i.tif (300, 600, 924 (XYZ)) severe_5_00_w.tif (300, 600, 924 (XYZ)) severe_5_07_w.tif (300, 600, 924 (XYZ)) severe_5_21_i.tif (300, 600, 924 (XYZ)) severe_5_21_w.tif (300, 600, 924 (XYZ)) severe_5_28_i.tif (300, 600, 924 (XYZ)) severe_5_28_w.tif (300, 600, 924 (XYZ)) severe_6_00_i.tif (300, 600, 924 (XYZ)) severe_6_00_w.tif (300, 600, 924 (XYZ)) severe_6_07_i.tif (300, 600, 924 (XYZ)) severe_6_07_w.tif (300, 600, 924 (XYZ)) severe_6_21_i.tif (300, 600, 924 (XYZ)) severe_6_21_w.tif (300, 600, 924 (XYZ)) severe_6_28_i.tif (300, 600, 924 (XYZ)) severe_6_28_w.tif (300, 600, 924 (XYZ)) severe_7_00_i.tif (300, 600, 924 (XYZ)) severe_7_00_w.tif (300, 600, 924 (XYZ)) severe_7_07_i.tif (300, 600, 924 (XYZ)) severe_7_07_w.tif (300, 600, 924 (XYZ)) severe_7_21_i.tif (300, 600, 924 (XYZ)) severe_7_21_w.tif (300, 600, 924 (XYZ)) severe_7_28_i.tif (300, 600, 924 (XYZ)) severe_7_28_w.tif (300, 600, 924 (XYZ)) severe_8_00_i.tif (300, 600, 924 (XYZ)) severe_8_00_w.tif (300, 600, 924 (XYZ)) severe_8_07_i.tif (300, 600, 924 (XYZ)) severe_8_07_w.tif (300, 600, 924 (XYZ)) severe_8_21_i.tif (300, 600, 924 (XYZ)) severe_8_21_w.tif (300, 600, 924 (XYZ)) severe_8_28_i.tif (300, 600, 924 (XYZ)) severe_8_28_w.tif (300, 600, 924 (XYZ)) severe_9_00_i.tif (300, 600, 924 (XYZ)) severe_9_00_w.tif (300, 600, 924 (XYZ)) severe_9_07_i.tif (300, 600, 924 (XYZ)) severe_9_07_w.tif (300, 600, 924 (XYZ)) severe_9_21_i.tif (300, 600, 924 (XYZ)) severe_9_21_w.tif (300, 600, 924 (XYZ)) sham_0_00_i.tif (300, 600, 924 (XYZ)) sham_0_00_w.tif (300, 600, 924 (XYZ)) sham_0_09_i.tif (300, 600, 924 (XYZ)) sham_0_09_w.tif (300, 600, 924 (XYZ)) sham_1_00_i.tif (300, 600, 924 (XYZ)) sham_1_00_w.tif (300, 600, 924 (XYZ)) sham_1_09_i.tif (300, 600, 924 (XYZ)) sham_1_09_w.tif (300, 600, 924 (XYZ)) sham_2_00_i.tif (300, 600, 924 (XYZ)) sham_2_00_w.tif (300, 600, 924 (XYZ)) sham_2_09_i.tif (300, 600, 924 (XYZ)) sham_2_09_w.tif (300, 600, 924 (XYZ)) sham_3_00_i.tif (300, 600, 924 (XYZ)) sham_3_00_w.tif (300, 600, 924 (XYZ)) sham_3_09_i.tif (300, 600, 924 (XYZ)) sham_3_09_w.tif (300, 600, 924 (XYZ)) sham_4_00_i.tif (300, 600, 924 (XYZ)) sham_4_00_w.tif (300, 600, 924 (XYZ)) sham_4_09_i.tif (300, 600, 924 (XYZ)) sham_4_09_w.tif (300, 600, 924 (XYZ)) Naming Convention: study_subjectID_day_contrast.tif Each subject of each study group (mild, severe, sham) was imaged twice, both without ("_w") and with ("_i") contrast inside the transrectal absorber guide (TAG). Dataset Size: 18.6 GB METHODOLOGICAL INFORMATION The data was collected using Raster‐Scanning Optoacoustic Mesoscopy as described by Buehler, Adrian, et al. in "Transrectal Absorber Guide Raster‐Scanning Optoacoustic Mesoscopy for Label‐Free In Vivo Assessment of Colitis." Advanced Science 10.18 (2023): 2300564. Subsequently, the data underwent motion correction, band-pass filtering, and reconstruction. Methods for further processing: Vascular network quantification: https://github.com/AdrianBuehler/TAG-RSOM-Vessel-Analysis People involved with sample collection, processing, analysis and/or submission: Adrian Buehler, Emma L. Brown DATA-SPECIFIC INFORMATION FOR: severe_9_28_i.tif Not available DATA-SPECIFIC INFORMATION FOR: severe_9_28_w.tif Not available
提供机构:
Apollo - University of Cambridge Repository
创建时间:
2024-07-30
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