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 …

Cell segmentation and/or localization is the first stage of a (semi) automatic tracking system.
We addressed the cell localization problem in our previous work where we characterized a …

We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells
that is accurate even when cells are physically in contact with each other. The problem of …

Purpose: The present study aimed at image processing methods for automatic cell pattern
recognition and morphological analysis for tissue engineering applications. The primary aim …

Many cell-based research studies require the counting of cells in order to understand and
validate experiments through statistical analyses. Although progress in imaging technology …

Precise information about the size, shape, temporal dynamics, and spatial distribution of
cells is beneficial for the understanding of cell behavior and may play a key role in drug …

In this paper, an automatic cell counting method under microscopy is proposed. The cell
counting process can be performed in two ways: The manual counting in which a specialist …

This study aims at automatic construction of cell lineage from time-lapse images of
progenitor cells. In order to construct the cell lineage it is very useful to have an efficient cell …

The development of fluorescence microscopy techniques has help advance in the
understanding of molecular mechanisms present at biological systems, as the case of cell …

Automated cell detection and characterization is important in many research fields such as
wound healing, embryo development, immune system studies, cancer research, parasite …