bioRxivCell BiologyPreprint
Data Release: High-Resolution Imaging and Segmentation of P7 Mouse Tissue Microarchitecture Using FIB-SEM and Machine Learning
David AckermaniD, Emma AvetissianiD, Christopher K. E. BleckiD, John A. BogoviciD, Michael InnerbergeriD, Wyatt L. KorffiD, Wei-Ping LiiD, Zhiyuan LuiD, Alyson PetruncioiD, Stephan PreibischiD, Wei QiuiD, Jeff L. RhoadesiD, Stephan SaalfeldiD, Malan SilvaiD, Eric T. TrautmaniD, Rebecca VorimoiD, Aubrey V. WeigeliD, Zhiheng YuiD, Yurii ZuboviD, CellMap Project Team
Abstract
This report presents a comprehensive data release exploring the tissue microarchitecture of P7 aged mice using Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) combined with machine learning-based segmentations of nuclei. The study includes high-resolution 3D volumes and nucleus segmentations for seven vital tissues--pancreas, liver, kidney, heart, thymus, hippocampus, and skin--from a single mouse. The detailed datasets are openly accessible onOpenOrganelle.org, providing a valuable resource for the scientific community to support further research and collaboration.
- organism: mouse
- assay: imaging
- research focus: cell type annotation
- approach: microscopy & imaging analysis
- Citations
- 1
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