The combination of mass cytometry and immunohistochemistry (IHC) enables new
histopathological imaging methods in which dozens of proteins and protein modifications …

IN the past decades, image cytometry has made great progress due to the advances in
optical imaging and image processing. The central problem of image cytometry in many …

Background Understanding the cellular and molecular basis of tissue development and
function requires analysis of individual cells while in their tissue context. Methods We …

New technological advances in automated microscopy have given rise to large volumes of
data, which have made human-based analysis infeasible, heightening the need for …

Background Automatic and reliable characterization of cells in cell cultures is key to several
applications such as cancer research and drug discovery. Given the recent advances in light …

Automated image analysis of histopathology specimens could potentially provide support for
early detection and improved characterization of breast cancer. Automated segmentation of …

This work presents a unified framework for whole cell segmentation of surface stained living
cells from 3-D data sets of fluorescent images. Every step of the process is described, image …

Background Many cell lines currently used in medical research, such as cancer cells or stem
cells, grow in confluent sheets or colonies. The biology of individual cells provide valuable …

Background Image segmentation and quantification are essential steps in quantitative
cellular analysis. In this work, we present a fast, customizable, and unsupervised cell …

Cell segmentation is a cornerstone of many bioimage informatics studies, and inaccurate
segmentation introduces error in downstream analysis. Evaluating segmentation results is …