Research Data supporting "Evaluating cervical dislocation methods, without using tension on the tail, for humanely killing adult laboratory mice".

Dataset Description for Cervical Dislocation Method Effectiveness Study This dataset originates from research aimed at assessing the effectiveness of a novel cervical dislocation method using CT imagery. The study hypothesizes that high-resolution CT scans are adequate for visualizing and scoring the effectiveness of the method. Below is a detailed overview of the dataset's contents, collection, and structure to aid in accessibility and future reuse. Please also refer to the Readme file and the file 'Supplementary 1_All mice sagittal images'. 1. Research Context • The dataset was created for a study evaluating a new cervical dislocation method, focusing on anatomical integrity and technique efficacy. • It includes CT imagery from 66 animals, with an additional 2 control subjects, to enable detailed comparison and scoring. 2. Data Collection and Structure • Subjects and Cohorts: The dataset consists of 6 distinct cohorts of animals, each marked by a date identifier for easy reference. For example, "210921_6A" refers to the sixth animal scanned on September 21. • File Format: CT scans are stored as DICOM (.DCM) files, a standard format that retains high-resolution imaging data for consistent analysis. • Organization: Files are grouped in directories by date/cohort, facilitating streamlined access and organization for users needing specific cohort data. 3. Data Generation and Processing • Imaging Protocol: The CT scans were conducted under controlled conditions to ensure consistency in image quality, allowing for accurate scoring. • Processing: Each scan was saved as a DCM file immediately post-capture to maintain data integrity and compatibility with a variety of medical imaging software. • Data Rendering: For users requiring 3D analysis, an instruction manual is provided to render the CT images using 3D Slicer software, a tool commonly used in the field for analyzing DICOM data. 4. Technical and Non-Technical Information for Reusability • Technical Requirements: Users need a DICOM-compatible viewer; 3D Slicer is recommended, and instructions for its use are included. • Access and Usability: The clear folder structure and labeling system ensure that users can locate and interpret data without needing background knowledge of the study date identifiers. • Future Reusability: By including detailed CT images and maintaining the standard DICOM format, the dataset remains compatible with a wide range of software and accessible for subsequent analyses or comparisons.