Towards Reliable Autofocusing in Automated Microscopy
| Authors | |
|---|---|
| Year of publication | 2007 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 4th International Conference on Informatics in Control, Automation and Robotics |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | Fluorescence microscopy; focus function; genetic programming |
| Description | The results presented in this paper are twofold. First, autofocusing in automated microscopy is studied and evaluated with respect to biomedical samples whose images can have more than one in-focus planes. While the proposed procedure for finding the maximum of a focus function in a short time works satisfactorily, the focus function itself is identified as the weakest link of the whole process. Second, an interesting property of functions used for genetic programming, and an algorithm for generating new individuals are introduced. Their usefulness and applicability are demonstrated on the problem of finding a new focus function for automated autofocusing in microscopy. |
| Related projects: |