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The mechanics of many biological processes can only be uncovered through the analysis of spatio-temporal data. Kymographs are a popular tool for visualising dynamic processes whose movements can be mapped into a single dimension, such as mitosis, or cell division. However, global movements of a cell means the region of interest (ROI) used to create the kymograph must move with each frame. Here we...
We present a framework for cell tracking in a highly cluttered environment in live cell imaging from mouse brain cortex. Our goal is to track cells over a long period of time for intracellular calciumion concentration in order to detect important cellular events such as neural activity and cell division. Since traditional object tracking approach such as segmentation followed by tracking is not applicable...
Confocal fluorescence microscopy has become a standard tool to image thick 3D tissue samples, permitting the observation of cell behaviour, such as cell division within developing organs. However, robust and automatic extraction of nuclear shape and mitotic orientation may be hindered by a highly cluttered environment as for example in mammalian tissues. We propose a fast and automated framework for...
Automated visual-tracking systems of stem cell populations in vitro allow for high-throughput analysis of time-lapse phase-contrast microscopy. In these systems, detection of mitosis, or cell division, is critical to tracking performance as mitosis causes branching of the trajectory of a mother cell into the two trajectories of its daughter cells. Recently, one mitosis detection algorithm showed its...
Advanced fluorescence live-cell imaging allows visualising the spatio-temporal dynamics of cellular processes in great detail. A fundamental problem is quantifying such processes in cells that continuously change shape and move. Here I outline recent developments and future challenges in three areas, highlighting the need for a very diverse range of methods to tackle seemingly similar problems: I)...
Cell segmentation and tracking in time-lapse fluorescence microscopy images is a task of fundamental importance in many biological studies on cell migration and proliferation. In recent years, level sets have been shown to provide a very appropriate framework for this purpose, as they are well suited to capture topological changes occurring during mitosis, and they easily extend to higher dimensional...
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 numbers of cells in presence of clutter and identifies cell division. To solve the data association problem, the assignment of current measurements to cell tracks, we tested various cost functions with both an optimal and a fast,...
In vivo observation and tracking of cell division in the Arabidopsis thaliana root meristem, by time-lapse confocal microscopy, is central to biology research. The research herein described is based on large amount of image data, which must be analyzed to determine the location and state of cells. The possibility of automating the process of cell detection/marking is an important step to provide research...
The aim of the project is to develop a method, based on the process of cell division, able to quantify the vascularization area for the research on the angiogenesis phenomena. After having collected enough information to have a general view on the subject, a new method in terms of concept and philosophy will be developed.
Quantifying the behavior of cells individually, and in clusters as part of a population, under a range of experimental conditions, is a challenging computational task with many biological applications. We propose a versatile algorithm for segmentation and tracking of multiple motile epithelial cells during wound healing using time-lapse video. The segmentation part of the proposed method relies on...
Microtubules are dynamic polymers that rapidly transition between states of growth, shortening, and pause. These dynamic events are critical for basic cellular processes, especially cell division. Typically, these events are quantified by imaging microtubule movements over time, which results in large data sets that require rigorous quantitative analysis. In most cases, these analyses are performed...
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