Published May 10, 2023 | Version Version_001
Dataset Open

LungVis1.0: Active learning AI-powered 3D imaging ecosystem for spatial profiling of lung geometry and pulmonary nanoparticle delivery

  • 1. Institute of Lung Health and Immunity (LHI)/Comprehensive Pneumology Center, Helmholtz Zentrum München, Munich, Germany
  • 2. Division of Medical Image Computing,Helmholtz Imaging, German Cancer Research Center (DKFZ)

Description

The imaging dataset was obtained by light sheet fluorescence microscopy on tissue cleared murine lungs. It includes whole lung autofluorence image, particle fluorescence image, and artifical intelligence nnU-Net generated lung airway segments. The dataset provides 78 healthy murine lung strucutre and airway geometry for C57BL/6 mice and offers comprehensive delivery features including qualitative and quantitative analysis on the temporal and spatial inter- and intra-acinar deposition patterns and NP regional dosimetry for four commonly-used routes of pulmonary delivery,namely intranasal liquid aspiration, intratracheal liquid instillation, ventilator-assisted and nose-only aerosol inhalation.

Raw LSFM imaging data collection was carried out between 2017-2021,  the AI code and generated airway segmention were performed in 2021-2022, the whole datasets were then compiled in 2023. 

Please ensure to cite our paper for any reuse or reanalysis. Yang, L., Liu, Q., Kumar, P. et al. LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages. Nat Commun 15, 10138 (2024). https://doi.org/10.1038/s41467-024-54267-1

For any inquiries, please feel free to contact us at lin.yang@helmholtz-munich.de 

Files

01_Overview of LSFM dataset (Zenodo Shared).pdf

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Additional details

Funding

European Commission
HARMLESS - Advanced High Aspect Ratio and Multicomponent materials: towards comprehensive intelLigent tEsting and Safe by design Strategies 953183
European Commission
SmartNanoTox - Smart Tools for Gauging Nano Hazards 686098