Autofocusing in Automated Microscopy

Mgr. et Mgr. Silvie Luisa Křivánková

Rigorózní práce

Abstract:

In this work a design of an autofocus algorithm for highly specific biomedical applications is presented. The overview of a standard procedure is provided. 16 classic focus functions and Boddeke's algorithm for finding the maximum of a focus function are tested. The algorithm is then modified so that it can be applied even on data that are difficult to focus. Genetic programming is used in an experiment that aims to find a new, more suitable focus function. Genetic programming overview is provided and the issue of strong typing is presented. An algorithm was designed especially for this task and its particularity. The genetically evolved focus function is comparable with the classic ones, which means that this method is very promising.

Keywords

Autofocusing, focus function, Boddeke's algorithm, genetic programming

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 16. 5. 2007

Obhajoba závěrečné práce

• Obhajoba proběhla 18. 5. 2007

Masarykova univerzita

Fakulta informatiky

Rigorózní řízení / obor:
Informatika / Informatika