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An approach to automatically detect bacteria division with temporal models is presented. To understand how bacteria migrate and proliferate to form complex multicellular behaviours such as biofilms, it is desirable to track individual bacteria and detect cell division events. Unlike eukaryotic cells, prokaryotic cells such as bacteria lack distinctive features, causing bacteria division difficult...
An approach to jointly estimate 3D shapes and poses of stained nuclei from confocal microscopy images, using statistical prior information, is presented. Extracting nuclei boundaries from our experimental images of cell migration is challenging due to clustered nuclei and variations in their shapes. This issue is formulated as a maximum a posteriori estimation problem. By incorporating statistical...
We present a new approach to incorporating information from heterogeneous images of migrating cells in 3D gel. We study 3D angiogenic sprouting, where cells burrow into the gel matrix, communicate with other cells and create vascular networks. We combine time-lapse fluorescent images of stained cell nuclei and transmitted light images of the background gel to track cell trajectories. The nuclei images...
This paper presents an integrated stochastic approach to tracking multiple live cells that interact with the surrounding gel matrix. Cells migrate in a stochastic manner, forming a functional structure. Tracking the trajectory of each migrating cell and its interactions with the gel and other cells provide useful insights into how a vascular structure is formed as a collection of migratory cells....
This paper presents an integrated stochastic approach to tracking multiple live cells that interact with the surrounding gel matrix. Cells migrate in a stochastic manner, forming a functional structure. Tracking the trajectory of each migrating cell and its interactions with the gel and other cells provide useful insights into how a vascular structure is formed as a collection of migratory cells....
Automation of biological cell tracking processes from time-lapse microscopy is increasingly being preferred due to time efficiency and avoidance of human inconsistencies. This paper presents development of algorithms to track the stochastic motion of the cells in micro-fluidic devices to aid the study of angiogenesis. Angiogenesis is the process of the growth of new blood vessels from a tissue monolayer...
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