Image Dataset: A generative AI framework enables disease-specific tissue bioengineering

1. Dataset Overview This dataset accompanies the publication “A generative AI framework enables disease-specific tissue bioengineering”It contains original microscopy data, diffusion model–generated image datasets, and 3D-printable mesh files used in the study. 2. File Structure The dataset consists of three compressed archives: original_images.zip – Raw microscopy images (60 TIFF files) used for quantitative and qualitative analysis. generated_images.zip – 100 synthetic images per condition (healthy, fibrotic, emphysematous) generated by the diffusion model for validation and comparison. stl_files.zip – STL meshes derived from original and generated data, prepared for two-photon bioprinting. 4. Creators and Citation Creators: Ella Bahry, Jeanine C. Pestoni, Kai Hirzel, Taras Savchyn, Diana Porras-Gonzalez, Vera Getmanchuk, Martin Gregor, Tom Conlon, Ali-Önder Yildirim, Kyle Harrington, Dagmar Kainmüller, Michael Heymann, Deborah Schmidt, and Gerald Burgstaller. Citation: Please cite this Zenodo record using its specific version DOI. 5. License Distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).