Generation of Digital Phantoms of Cell Nuclei and Simulation of Image Formation in 3D Image Cytometry
| Authors | |
|---|---|
| Year of publication | 2009 |
| Type | Article in Periodical |
| Magazine / Source | Cytometry Part A |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1002/cyto.a.20714 |
| Field | Use of computers, robotics and its application |
| Keywords | digital phantom; synthetic image; procedural texture; point spread function; fluorescence optical microscope; 3D image cytometry |
| Description | Image cytometry still faces the problem of the quality of cell image analysis results. Degradations caused by cell preparation, optics and electronics considerably affect most 2D and 3D cell image data acquired using optical microscopy. That is why image processing algorithms applied to these data typically offer imprecise and unreliable results. We have created a toolbox that can generate 3D digital phantoms of specific cellular components along with their corresponding images degraded by specific optics and electronics. The user can then apply image analysis methods to such simulated image data. The analysis results can be compared with ground truth derived from input object digital phantoms. In this way, image analysis methods can be compared to each other and their quality can be computed. We have also evaluated the plausibility of the synthetic images, measured by their similarity to real image data. |
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