Cell Detection Methods For The Images From Holographic Microscope

Abstract

Microscopical cell image analysis is widely used for cell behavior and morphology study. In dense cell cultures precise detection (separation) of a single cell is challenging task and it is important step for automatic cell analysis methods. There are a variety of methods, but most of them are less accurate for non-circular cells. This paper describes the common approaches for cell detection applied on images from holographic microscope. Linear discriminant analysis is used for combining results of these methods to obtain new more precise and robust approach.