Procedings of the British Machine Vision Conference 2010 2010
DOI: 10.5244/c.24.69
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A Novel Framework for Tracking In-vitro Cells in Time-lapse Phase Contrast Data

Abstract: With the proliferation of modern microscopy imaging technologies the amount of data that has to be analysed by biologists is constantly increasing and as a result the development of automatic approaches that are able to track cellular structures in timelapse images has become an important field of research. The aim of this paper is to detail the development of a novel tracking framework that is designed to extract the cell motility indicators in phase-contrast image sequences. To address issues that are caused… Show more

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Cited by 3 publications
(5 citation statements)
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“…However, forward distance, df is not always equal to backward distance, db. They are defined as To obtain a symmetric distance the maximum value between df and db is taken as Hausdorff distance [7,11]. So, a more general description of symmetric Hausdorff distance, H , is…”
Section: Introductionmentioning
confidence: 99%
“…However, forward distance, df is not always equal to backward distance, db. They are defined as To obtain a symmetric distance the maximum value between df and db is taken as Hausdorff distance [7,11]. So, a more general description of symmetric Hausdorff distance, H , is…”
Section: Introductionmentioning
confidence: 99%
“…Various methods have been proposed to address the above challenges and they can be broadly classified into two categories [2],[4]. In the first category cells are detected in each frame and the cell to cell correspondence is carried out for each two adjacent frames in the sequence [2],[5].…”
Section: Introductionmentioning
confidence: 99%
“…< 1. The last term in (8) penalises the large displacements of the node v in frame T+1 with respect to the position of the node u in frame T. The reference edge structure associated with T uD  is defined as:…”
Section: Cell Associationmentioning
confidence: 99%
“…< 1 that have in their local structure at least a pair of matched nodes included in the list R, we calculate the partial matching confidence PMC(. ), using (8), that evaluates both the similarity for triangles and mesh edges with respect to the reference nodes containing in the list R. In this node association stage we also evaluate the distance between the nodes to place a higher degree of confidence when matching the nodes with MC(.) < 1.…”
Section: Cell Associationmentioning
confidence: 99%
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