Name
Abstract | ||
|---|---|---|
•We propose a way for 3D quantification of nuclear phenotypes in a tissue microenvironment using shape, texture and contextual features.•We implement on a tumor microenvironment for PTEN and TP53 deleted stromal fibroblasts in mouse mammary glands.•TP53 deletion in fibroblasts results in smaller, more spindly nuclei and reorganization of chromatin especially in nuclear periphery.•We also propose a scheme for visualizing all the three types of features together. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jocs.2019.07.001 | Journal of Computational Science |
Keywords | Field | DocType |
Nuclear phenotyping,Confocal microscopy,Visualization,Shape analysis,Texture | Tumor microenvironment,Stromal cell,Genotype,Nucleus,Gene,Phenotype,Computer science,Model system,Theoretical computer science,Computational biology,Chromatin | Journal |
Volume | ISSN | Citations |
36 | 1877-7503 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sundaresan Raman | 1 | 15 | 2.00 |
| Shantanu Singh | 2 | 31 | 5.06 |
| Thierry Pécot | 3 | 28 | 4.39 |
| Enrico Caserta | 4 | 5 | 1.46 |
| Kun Huang | 5 | 530 | 61.18 |
| Jens Rittscher | 6 | 686 | 67.07 |
| Gustavo Leone | 7 | 61 | 6.87 |
| Raghu Machiraju | 8 | 864 | 78.64 |