We present a region‐based segmentation method in which seeds representing both object
and background pixels are created by combining morphological filtering of both the original …

Background Automated segmentation of fluorescently‐labeled cell nuclei in 3D confocal
microscope images is essential to many studies involving morphological and functional …

The simulations of cells and microscope images thereof have been used to facilitate the
development, selection, and validation of image analysis algorithms employed in cytometry …

The present review tries to identify some trends among the multitude of ways followed by
image processing developments in the field of microscopy. Nine topics were selected. They …

Fluorescence microscopy combined with digital imaging constructs a basic platform for
numerous biomedical studies in the field of cellular imaging. As the studies relying on …

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 …

Segmentation of intact cell nuclei from three‐dimensional (3D) images of thick tissue
sections is an important basic capability necessary for many biological research studies …

Segmenting individual cell nuclei from microscope images normally involves volume
labelling of the nuclei with a DNA stain. However, this method often fails when the nuclei are …

Modern automated microscopes collect digital images at an astonishing pace. Automated
image analysis can measure biological phenotypes quantitatively and reliably, and has …

Biomedical cell image analysis is one of the main application fields of computerized image
analysis. This paper outlines the field and the different analysis steps related to it. Relative …