Recent advances in bioimaging have provided scientists a superior high spatial-temporal
resolution to observe dynamics of living cells as 3D volumetric videos. Unfortunately, the 3D …

INTRODUCTION The diversity of cell types is a defining feature of the neuronal circuitry that
makes up the areas and layers of the mammalian cortex. At a molecular level, the extent of …

In this work, we describe a method for large-scale 3D cell-tracking through a segmentation
selection approach. The proposed method is effective at tracking cells across large …

Convolutional Neural Networks (CNNs) are considered state of the art segmentation
methods for biomedical images in general and microscopy sequences of living cells, in …

Determining the trajectories of cells and their lineages or ancestries in live-cell experiments
are fundamental to the understanding of how cells behave and divide. This paper proposes …

Semantic segmentation of cells is the entry point to other areas of cell analysis such as
instance segmentation, cell detection, Mitosis detection, and cell tracking. This paper …

Cell tracking in microscopy images is fundamental to new biological and medical
discoveries today. It facilitates the study of the properties of living cells over time. Due to the …

Natural killer (NK) cell cytotoxicity in tissue is dependent on the ability of NK cells to migrate
through the extracellular matrix (ECM) microenvironment. Traditional imaging studies of NK …

Glioblastoma multiforme is a highly aggressive form of brain cancer, with a median survival
time for diagnosed patients of 15 months. Treatment of this cancer is typically a combination …

Tracking and segmentation of biological cells in video sequences is a challenging problem,
especially due to the similarity of the cells and high levels of inherent noise. Most machine …