SOCR 3D Cell Morphometry Project Data

This page contains links to datasets produced within the project:

Usage: You are granted a non-exclusive license to use these images for non-commercial, research purposes, with the following conditions:

  1. you agree to include a reference to the corresponding paper when presenting or publishing your results,
  2. you agree not to re-distribute these images without inclusion of this notice.


The Fibroblast dataset consists of fluorescence microscope images of human fibroblast cell line. Fibroblasts (newborn male) were subjected to a G0/G1 Serum Starvation Protocol. This provided with following phenotypes: cell cycle synchronized by serum-starvation (SS) and proliferating (PROLIF). After segmentation dataset consisted of 965 nuclear masks (498 SS and 470 PROLIF) and 2,181 nucleolar masks (1,151 SS and 1,030 PROLIF).

WARNING: each run will take up to 20-30GB after extraction.

PROLIF:

157 (1.25 GB)

158 (1.38 GB)

159 (1.42 GB)

163 (1.75 GB)

SS:

160 (1.43 GB)

161 (1.43 GB)

162 (1.50 GB)

164 (1.53 GB)

165 (1.25 GB)

166 (1.22 GB)

167 (1.59 GB)

Please cite following paper if you use these data:

3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results
Alexandr A. Kalinin, Ari Allyn-Feuer, Alex Ade, Gordon-Victor Fon, Walter Meixner, David Dilworth, Jeffrey R. de Wet, Gerald A. Higgins, Gen Zheng, Amy Creekmore, John W. Wiley, James E. Verdone, Robert W. Veltri, Kenneth J. Pienta, Donald S. Coffey, Brian D. Athey, Ivo D. Dinov
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018


The PC3 dataset consists of fluorescence microscope images of human prostate cancer cell line PC3. Slides were cultured in the phenotypic states of epithelial (EPI) and mesenchymal transition (EMT). After segmentation dataset consisted of 458 nuclear (310 EPI and 148 EMT) and 1,101 nucleolar (649 EPI and 452 EMT) masks.

EPI:

171 (4.2 GB)

172 (5.8 GB)

EMT:

168 (0.25 GB)

178 (2.1 GB)

179 (7.5 GB)

180 (3.9 GB)

Please cite following paper if you use these data:

3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results
Alexandr A. Kalinin, Ari Allyn-Feuer, Alex Ade, Gordon-Victor Fon, Walter Meixner, David Dilworth, Jeffrey R. de Wet, Gerald A. Higgins, Gen Zheng, Amy Creekmore, John W. Wiley, James E. Verdone, Robert W. Veltri, Kenneth J. Pienta, Donald S. Coffey, Brian D. Athey, Ivo D. Dinov
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018


The Caco2 dataset consists of 103 3D fluorescence microscope images of human colon cancer cell line Caco-2.

WARNING: Full dataset takes ~120GB after unpacking.

NOTE: Any 3D image in either Nifti and Analyze formats can be viewed interactively in web-browser using SOCR BrainViewer web-app. To use BrainViewer, drag and drop an image (.nii.gz or .img+.hdr) into a browser window or press 'Select files' button. Use controls to switch between 2D and 3D views.

Single image in Nifti format (2 MB)

Sample images in Nifti format (243 MB)

Full dataset in Analyze format (14 GB)

Please cite following paper if you use these data:

Hypothesis: Caco-2 cell rotational 3D mechanogenomic Turing patterns has clinical implications to colon crypts
Gen Zheng, Alexandr A. Kalinin, Ivo D. Dinov, Walter Meixner, Shengtao Zhu, John Wiley
Journal of Cellular and Molecular Medicine, 2018