Autor: |
Chalfoun J; Software and Systems Division., Cardone A; Software and Systems Division., Dima AA; Software and Systems Division., Allen DP; Software and Systems Division., Halter MW; Biochemical Science Division, National Institute of Standards and Technology, Gaithersburg, MD 20899. |
Jazyk: |
angličtina |
Zdroj: |
Journal of research of the National Institute of Standards and Technology [J Res Natl Inst Stand Technol] 2010 Dec 01; Vol. 115 (6), pp. 477-86. Date of Electronic Publication: 2010 Dec 01 (Print Publication: 2010). |
DOI: |
10.6028/jres.115.034 |
Abstrakt: |
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 flexible, requires little user parameterization, and has a fast execution time. |
Databáze: |
MEDLINE |
Externí odkaz: |
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