Evidence map›Paper›PMID 25415983›Full record

ArticleIEEE transactions on medical imaging2015

Global linking of cell tracks using the Viterbi algorithm.

Klas E G Magnusson, Joakim Jalden, Penney M Gilbert, Helen M Blau

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Molecular kinetics dictate population dynamics in CRISPR-based plasmid defense.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage.IEEE open journal of engineering in medicine and biology · 2024
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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

4 authors.

Klas E G Magnusson
Joakim Jalden
Penney M Gilbert
Helen M Blau

Funding

Stem Cells for Brain and BrawnR01AG020961 · NIA · STANFORD UNIVERSITY · PI BLAU, HELEN M · 2002 to 2019
$5.0M
Regulation of Hematopoietic Stem Cell Fate in Bioengineered NichesR01HL096113 · NHLBI · STANFORD UNIVERSITY · PI BLAU, HELEN M · 2009 to 2013
$2.7M
NHLBI NIH HHS 1R01 HL096113NHLBI NIH HHS R01 HL096113NIA NIH HHS R01 AG020961
6 · The paper itself

Abstract

Automated tracking of living cells in microscopy image sequences is an important and challenging problem. With this application in mind, we propose a global track linking algorithm, which links cell outlines generated by a segmentation algorithm into tracks. The algorithm adds tracks to the image sequence one at a time, in a way which uses information from the complete image sequence in every linking decision. This is achieved by finding the tracks which give the largest possible increases to a probabilistically motivated scoring function, using the Viterbi algorithm. We also present a novel way to alter previously created tracks when new tracks are created, thus mitigating the effects of error propagation. The algorithm can handle mitosis, apoptosis, and migration in and out of the imaged area, and can also deal with false positives, missed detections, and clusters of jointly segmented cells. The algorithm performance is demonstrated on two challenging datasets acquired using bright-field microscopy, but in principle, the algorithm can be used with any cell type and any imaging technique, presuming there is a suitable segmentation algorithm.

Indexed as

AlgorithmsAnimalsCells, CulturedCell TrackingHumansImage Processing, Computer-AssistedMiceMicroscopyMyoblastsStem Cells

Identifiers

PMID25415983
PMCPMC4765504

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Registered trials

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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.