| Title |
Isotropic 3D Nuclear Morphometry of Normal, Fibrocystic and Malignant Breast Epithelial Cells Reveals New Structural Alterations
|
|---|---|
| Published in |
PLOS ONE, January 2012
|
| DOI | 10.1371/journal.pone.0029230 |
| Pubmed ID | |
| Authors |
Vivek Nandakumar, Laimonas Kelbauskas, Kathryn F. Hernandez, Kelly M. Lintecum, Patti Senechal, Kimberly J. Bussey, Paul C. W. Davies, Roger H. Johnson, Deirdre R. Meldrum |
| Abstract |
Grading schemes for breast cancer diagnosis are predominantly based on pathologists' qualitative assessment of altered nuclear structure from 2D brightfield microscopy images. However, cells are three-dimensional (3D) objects with features that are inherently 3D and thus poorly characterized in 2D. Our goal is to quantitatively characterize nuclear structure in 3D, assess its variation with malignancy, and investigate whether such variation correlates with standard nuclear grading criteria. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Bosnia and Herzegovina | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 1% |
| Unknown | 67 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 30% |
| Researcher | 14 | 20% |
| Student > Master | 9 | 13% |
| Professor > Associate Professor | 5 | 7% |
| Student > Bachelor | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 30% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Engineering | 6 | 9% |
| Medicine and Dentistry | 6 | 9% |
| Physics and Astronomy | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 13 | 19% |