Evidence map›Paper›PMID 27853188›Full record

ArticleScientific reports2016

Lineage mapper: A versatile cell and particle tracker.

Joe Chalfoun, Michael Majurski, Alden Dima, Michael Halter, Kiran Bhadriraju, Mary Brady

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Tui: A Multigenerational and Expert-Correctable Tracker for Cellular Dynamics.Computational and structural biotechnology journal · 2026
    Article
  2. A Framework for Automated Tracking of Morphologically Distinct Cell Populations in Time-Lapse Microscopy....IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies · 2026
    Article
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  17. Probing pluripotency gene regulatory networks with quantitative live cell imaging.Computational and structural biotechnology journal · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Joe ChalfounInformation Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg MD, 20899, USA.
Michael MajurskiInformation Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg MD, 20899, USA.
Alden DimaInformation Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg MD, 20899, USA.
Michael HalterMaterials Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg MD, 20899, USA.
Kiran BhadrirajuPhysical Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg MD, 20899, USA.
Mary BradyInformation Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg MD, 20899, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Cell LineageImage Processing, Computer-AssistedMitosisSoftware

Identifiers

PMID27853188
PMCPMC5113068

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.