Evidence map›Paper›PMID 24932004›Full record

ArticleBioinformatics (Oxford, England)2014

Automated detection and tracking of many cells by using 4D live-cell imaging data.

Terumasa Tokunaga, Osamu Hirose, Shotaro Kawaguchi, Yu Toyoshima, Takayuki Teramoto, Hisaki Ikebata, Sayuri Kuge, Takeshi Ishihara, Yuichi Iino, Ryo Yoshida

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In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it

0cells of the map it votes in

8citing 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

8 citing papers in PubMed.

Ensemble dynamics and information flow deduction from whole-brain imaging data.PLoS computational biology · 2024
Article
Fast, efficient, and accurate neuro-imaging denoising via supervised deep learning.Nature communications · 2022
Article
Methods for analyzing neuronal structure and activity in Caenorhabditis elegans.Genetics · 2021
Article
Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans.BMC biology · 2020
Article
Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates.Computational and structural biotechnology journal · 2020
Review
A microcarrier-based spheroid 3D invasion assay to monitor dynamic cell movement in extracellular matrix.Biological procedures online · 2020
Article
Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space.PLoS computational biology · 2016
Article
Segmentation of Image Data from Complex Organotypic 3D Models of Cancer Tissues with Markov Random Fields.PloS one · 2015
Article

4 · The record

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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

10 authors.

Terumasa TokunagaThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Osamu HiroseThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Shotaro KawaguchiThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Yu ToyoshimaThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Takayuki TeramotoThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Hisaki IkebataThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Sayuri KugeThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Takeshi IshiharaThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Yuichi IinoThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Ryo YoshidaThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPANThe Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, CREST, JST, Kanazawa University, Kakuma, Kanazawa 920-1192, The University of Tokyo, Building 3, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032 Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562 and JST, ERATO, 2-2-2 Hikaridai Seika-cho, Soraku-gun, Kyoto-fu, JAPAN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationAutomated fluorescence microscopes produce massive amounts of images observing cells, often in four dimensions of space and time. This study addresses two tasks of time-lapse imaging analyses; detection and tracking of the many imaged cells, and it is especially intended for 4D live-cell imaging of neuronal nuclei of Caenorhabditis elegans. The cells of interest appear as slightly deformed ellipsoidal forms. They are densely distributed, and move rapidly in a series of 3D images. Thus, existing tracking methods often fail because more than one tracker will follow the same target or a tracker transits from one to other of different targets during rapid moves.

resultsThe present method begins by performing the kernel density estimation in order to convert each 3D image into a smooth, continuous function. The cell bodies in the image are assumed to lie in the regions near the multiple local maxima of the density function. The tasks of detecting and tracking the cells are then addressed with two hill-climbing algorithms. The positions of the trackers are initialized by applying the cell-detection method to an image in the first frame. The tracking method keeps attacking them to near the local maxima in each subsequent image. To prevent the tracker from following multiple cells, we use a Markov random field (MRF) to model the spatial and temporal covariation of the cells and to maximize the image forces and the MRF-induced constraint on the trackers. The tracking procedure is demonstrated with dynamic 3D images that each contain >100 neurons of C.elegans. AVAILABILITY: http://daweb.ism.ac.jp/yoshidalab/crest/ismb2014 SUPPLEMENTARY INFORMATION: Supplementary data are available at http://daweb.ism.ac.jp/yoshidalab/crest/ismb2014

Indexed as

AlgorithmsAnimalsCaenorhabditis elegansCell TrackingImaging, Three-DimensionalMicroscopy, ConfocalMicroscopy, FluorescenceNeuronsTime-Lapse Imaging

Identifiers

PMID24932004

DOI10.1093/bioinformatics/btu271

PMCPMC4058942

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