Lineage mapper: A versatile cell and particle tracker

被引：28

作者：

Chalfoun, Joe ^{[1
]}

Majurski, Michael ^{[1
]}

Dima, Alden ^{[1
]}

Halter, Michael ^{[2
]}

Bhadriraju, Kiran ^{[3
,4
]}

Brady, Mary ^{[1
]}

机构：

[1] NIST, Informat Technol Lab, 100 Bur Dr, Gaithersburg, MD 20899 USA

[2] NIST, Mat Measurement Lab, 100 Bur Dr, Gaithersburg, MD 20899 USA

[3] NIST, Phys Measurement Lab, 100 Bur Dr, Gaithersburg, MD 20899 USA

[4] Univ Maryland, Fischell Dept Bioengn, College Pk, MD 20742 USA

来源：

SCIENTIFIC REPORTS | 2016年 / 6卷

关键词：

MICROSCOPY; CONSTRUCTION; IMAGES; MODEL;

D O I：

10.1038/srep36984

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The ability to accurately track cells and particles from images is critical to many biomedical problems. To address this, we developed Lineage Mapper, an open-source tracker for time-lapse images of biological cells, colonies, and particles. Lineage Mapper tracks objects independently of the segmentation method, detects mitosis in confluence, separates cell clumps mistakenly segmented as a single cell, provides accuracy and scalability even on terabyte-sized datasets, and creates division and/or fusion lineages. Lineage Mapper has been tested and validated on multiple biological and simulated problems. The software is available in ImageJ and Matlab at isg.nist.gov.

引用

页数：9

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