Single-particle tracking: connecting the dots

被引：0
|
作者：
Michael J Saxton
机构：
[1] University of California,Michael J. Saxton is in the Department of Biochemistry and Molecular Medicine
[2] Davis,undefined
[3] 1 Shields Ave.,undefined
[4] Davis,undefined
[5] California 95616,undefined
[6] USA. mjsaxton@ucdavis.edu,undefined
来源：
Nature Methods | 2008年 / 5卷
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摘要：
Algorithms for analyzing single-particle tracking images to obtain the paths of individual particles are challenged by high-density data. Improvements in algorithms help to overcome these limitations.
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页码：671 / 672
页数：1
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