2009
DOI: 10.6028/nist.ir.7663
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Overlap-based cell tracker

Abstract: In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an introduction to the general principle of an overlap cell tracking software developed by the National Institute of Standards and Technology (NIST). This cell tracker has the ability to track cells across a set of time lapse images acquired at high rates based on the amount of overlap between cellular regions in consecutive frames. It is designed to be highly f… Show more

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Cited by 2 publications
(2 citation statements)
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“…For segmented images, we can also use the overlap between segmented regions to calculate the cost [7,10,29]. The flexible implementation allows us to integrate the overlap metric in addition to the distance in the LAP framework.We defined l (with g and s analogously) as…”
Section: B Tunable Cost Function Improves Tracking Performancementioning
confidence: 99%
“…For segmented images, we can also use the overlap between segmented regions to calculate the cost [7,10,29]. The flexible implementation allows us to integrate the overlap metric in addition to the distance in the LAP framework.We defined l (with g and s analogously) as…”
Section: B Tunable Cost Function Improves Tracking Performancementioning
confidence: 99%
“…The selected algorithm uses a method based on a metric optimization. This metric is based on the overlap of the cells between two images, on the distance between their centroid, and on the difference of their size (Chalfoun et al, 2009).…”
Section: Image Postprocessingmentioning
confidence: 99%