With the advance of fluorescence imaging technologies, recently cell biologists are able to record the movement of protein vesicles within a living cell. Automatic tracking of the movements of these vesicles become key for qualitative analysis of dynamics of theses vesicles. In this thesis, we formulate such tracking problem as video object tracking problem, and design a dynamic programming met...

Despite the remarkable progress of adoptive T cell therapy in cancer treatment, there remains an urgent need for the noninvasive tracking of the transfused T cells in patients to determine their biodistribution, viability, and functionality. With emerging molecular imaging technologies and cell-labeling methods, noninvasive in vivo cell tracking is experiencing impressive progress toward reveal...

The goal of this research is to develop a model-based tracking framework with biomedical imaging applications. This is an interdisciplinary area of research with interests in machine vision, image processing, and biology. This thesis presents methods of image modeling, tracking, and data association applied to problems in multi-cellular image analysis, especially hematopoietic stem cell (HSC) i...

The study of cell behavior is of crucial importance in drug and disease research. The fields of bioinformatics and biotechnology rely on the collection, processing, and analysis of huge numbers of biocellular images, including cell features such as cell size, shape, and motility. However manual methods of inferring these values are so onerous that automated methods of cell tracking and segmenta...

In vivo imaging plays a key role in cell tracking, particularly for the optimization of cellular therapeutics. A recent trend is to use more than one imaging modality (multimodality imaging) for this purpose. There are several advantages to multimodal cell tracking, particularly the corroboration of data obtained using a new imaging agent or technique with an established one, and the ability to...

This paper introduces an active contour or snakebased method for tracking cells within a video sequence. Specifically, we apply our cell tracking techniques to rolling leukocytes observed in vivo (in living animal) from video microscopy. The analysis of leukocyte motion reveals cues about the mechanism of inflammatory disease. To attack the problem of tracking leukocytes in vivo, the proposed s...

We propose a cell progeny tracking method that sequentially employs image alignment, chamber cropping, cell segmentation, per-cell feature measurement, and progeny (lineage) tracking modules. It enables biologists to keep track of phenotypic patterns not only over time but also over multiple generations. Yeast cells encapsulated in chambers of a polydimethylsiloxane (PDMS) microfluidic device w...