The past decade has seen an unprecedented data explosion in biology. It has become
evident that in order to take full advantage of the potential wealth of information hidden in the …

Novel approaches to bio‐imaging and automated computational image processing allow the
design of truly quantitative studies in developmental biology. Cell behavior, cell fate …

Automated tracking of living cells in microscopy image sequences is an important and
challenging problem. With this application in mind, we propose a global track linking …

A growing number of screening applications require the automated monitoring of cell
populations in a high-throughput, high-content environment. These applications depend on …

In the next generation network, the physical things will enable to exchange the information
among them. Internet of Things (IoT) provides facility to connect physical things and able to …

This paper presents a vision-based method for automatic tracking of biological cells in time-
lapse microscopy by combining the motion features with the topological features of the cells …

In this paper, we propose an automatic embryonic stem cell detection and counting method
for fluorescence microscopy images. We handle with pluripotent stem cells cultured in vitro …

Existing data association techniques mostly focus on matching pairs of data-point sets and
then repeating this process along space-time to achieve long term correspondences …

We have developed methods for segmentation and tracking of cells in time-lapse phase-
contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large …

By their very nature, biological systems are dynamic, and a proper understanding of the
cellular and molecular processes underlying living organisms and how to manipulate them …