Motivation: Our goal is to develop a screening platform for quantitative profiling of colony organizations in 3D cell culture models. The 3D cell culture models, which are also imaged in 3D, are functional assays that mimic the in vivo characteristics of the tissue architecture more faithfully than the 2D cultures. However, they also introduce significant computational challenges, with the main...

Based on level set approaches, a hybrid framework with quality control for nuclear segmentation of confocal images is presented. To overcome non homogeneous background, nuclei are firstly modeled into circles with some additive noise and Laplacian of Gaussian filter as a blob-detector is applied. Then, nuclei centers are obtained by energy minimization of fast marching towards the boundaries of...

The fushi tarazu (ftz) gene of Drosophila acts early in embryogenesis to regulate body segmentation. The localization of the ftz protein product in embryos was examined using indirect immunofluorescence microscopy. Antibodies were prepared against a beta-galactosidase-ftz hybrid protein made in E. coli. The ftz protein was first detectable in blastoderm-stage embryos as seven stripes of nuclei ...

Introduction: Automatic detection of blood components is an important topic in the fi eld of hematology. Segmentation is an important step because it allows components to be grouped into common areas and processed separately. This paper proposes a method for the automatic segmentation and classifi cation of blood components in microscopic images using a general and automatic fuzzy approach. Met...

A new method for fast and simple segmentation of peripheral blood smears using Teager energy operator (TEO) is presented. The two-pan algorithm efficiently segments leucocytes present in the smear into nucleus and cytoplasm. The local mean weighted high pass filtering property of Teager energy operator is used to identify and distinguish the nucleus of white blood cells. Cytoplasm present in th...

Image segmentation is important with applications to several problems in biology and medicine. While extensively researched, generally, current segmentation methods perform adequately in the applications for which they were designed, but often require extensive modifications or calibrations before being used in a different application. We describe an approach that, with few modifications, can b...

As cervical cancer is one of the most common cancers worldwide, screening programs have been established. For that task stained slides of cervical cells are visually assessed under a microscope for dysplastic or malignant cells. To support this challenge, image processing methods offer advantages for objective classification. As the cell nuclei carry a high extent visual information, all depict...

The maternal transcript of the anterior segmentation gene bicoid (bcd) is localized at the anterior pole of the Drosophila egg and translated to form a gradient in the nuclei of the syncytial blastoderm embryo after fertilization [1-3]. The nuclear gradient of Bcd protein - a transcription factor - leads to differential expression of zygotic segmentation genes. The rapid nuclear division during...

The introduction of fast digital slide scanners that provide whole slide images has led to a revival of interest in image analysis applications in pathology. Segmentation of cells and nuclei is an important first step towards automatic analysis of digitized microscopy images. We therefore developed an automated nuclei segmentation method that works with hematoxylin and eosin (H&E) stained breas...

In endometrial carcinomas, the epithelial area measured by interactive morphometry is an important feature in the classification of tumors of varying histologic grades. This report describes an image analysis technique for the fully automated estimation of the area percentages of epithelium and stroma in tissue sections of the endometrium obtained from hysterectomy specimens. The method is eval...