Details
| Original language | English |
|---|---|
| Title of host publication | 2008 19th International Conference on Pattern Recognition |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (print) | 9781424421756 |
| Publication status | Published - 23 Jan 2009 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
|---|---|
| ISSN (Print) | 1051-4651 |
Abstract
In this contribution, an algorithm is presented for counting cells in the first-, second- and third-layers of three-dimensional three-layer cell clusters from a static intensity image captured by an in-situ microscope. The number of cells in an arbitrary cell cluster is estimated as the ratio between the sum of the areas of the image regions of the parallel projections of the first-, second-and third-layers of the cluster into the image plane and the image area of a circle with a radius equal to the average cell radius of the cluster. The experimental results revealed that counting the cells also in the secondand third-layers of the clusters improved the cell count in 56% in high cell concentrations.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Vision and Pattern Recognition
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
2008 19th International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., 2009. (Proceedings - International Conference on Pattern Recognition).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Three-Dimensional Cell Counting for In-Situ Microscopy
AU - Martinez, Geovanni
AU - Frerichs, Jan Gerd
AU - Rudolph, Guido
AU - Scheper, Thomas
PY - 2009/1/23
Y1 - 2009/1/23
N2 - In this contribution, an algorithm is presented for counting cells in the first-, second- and third-layers of three-dimensional three-layer cell clusters from a static intensity image captured by an in-situ microscope. The number of cells in an arbitrary cell cluster is estimated as the ratio between the sum of the areas of the image regions of the parallel projections of the first-, second-and third-layers of the cluster into the image plane and the image area of a circle with a radius equal to the average cell radius of the cluster. The experimental results revealed that counting the cells also in the secondand third-layers of the clusters improved the cell count in 56% in high cell concentrations.
AB - In this contribution, an algorithm is presented for counting cells in the first-, second- and third-layers of three-dimensional three-layer cell clusters from a static intensity image captured by an in-situ microscope. The number of cells in an arbitrary cell cluster is estimated as the ratio between the sum of the areas of the image regions of the parallel projections of the first-, second-and third-layers of the cluster into the image plane and the image area of a circle with a radius equal to the average cell radius of the cluster. The experimental results revealed that counting the cells also in the secondand third-layers of the clusters improved the cell count in 56% in high cell concentrations.
UR - http://www.scopus.com/inward/record.url?scp=77957940918&partnerID=8YFLogxK
U2 - 10.1109/icpr.2008.4761580
DO - 10.1109/icpr.2008.4761580
M3 - Conference contribution
AN - SCOPUS:77957940918
SN - 9781424421756
T3 - Proceedings - International Conference on Pattern Recognition
BT - 2008 19th International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
ER -