An objective comparison of cell-tracking algorithms
We present a combined report on the results of three editions of the Cell Tracking Challenge, an ongoing initiative aimed at promoting the development and objective evaluation of cell segmentation and tracking algorithms. With 21 participating algorithms and a data repository consisting of 13 data s...
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| Format: | Article |
| Language: | English |
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Springer Nature
2017
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| Online Access: | https://eprints.nottingham.ac.uk/53287/ |
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| author | Ulman, Vladimír Maška, Martin Magnusson, Klas E G Ronneberger, Olaf Haubold, Carsten Harder, Nathalie Matula, Pavel Matula, Petr Svoboda, David Radojevic, Miroslav Smal, Ihor Rohr, Karl Jaldén, Joakim Blau, Helen M Dzyubachyk, Oleh Lelieveldt, Boudewijn Xiao, Pengdong Li, Yuexiang Cho, Siu-Yeung Dufour, Alexandre C Olivo-Marin, Jean-Christophe Reyes-Aldasoro, Constantino C Solis-Lemus, Jose A Bensch, Robert Brox, Thomas Stegmaier, Johannes Mikut, Ralf Wolf, Steffen Hamprecht, Fred A Esteves, Tiago Quelhas, Pedro Demirel, Ömer Malmström, Lars Jug, Florian Tomancak, Pavel Meijering, Erik Muñoz-Barrutia, Arrate Kozubek, Michal Ortiz-de-Solorzano, Carlos |
| author_facet | Ulman, Vladimír Maška, Martin Magnusson, Klas E G Ronneberger, Olaf Haubold, Carsten Harder, Nathalie Matula, Pavel Matula, Petr Svoboda, David Radojevic, Miroslav Smal, Ihor Rohr, Karl Jaldén, Joakim Blau, Helen M Dzyubachyk, Oleh Lelieveldt, Boudewijn Xiao, Pengdong Li, Yuexiang Cho, Siu-Yeung Dufour, Alexandre C Olivo-Marin, Jean-Christophe Reyes-Aldasoro, Constantino C Solis-Lemus, Jose A Bensch, Robert Brox, Thomas Stegmaier, Johannes Mikut, Ralf Wolf, Steffen Hamprecht, Fred A Esteves, Tiago Quelhas, Pedro Demirel, Ömer Malmström, Lars Jug, Florian Tomancak, Pavel Meijering, Erik Muñoz-Barrutia, Arrate Kozubek, Michal Ortiz-de-Solorzano, Carlos |
| author_sort | Ulman, Vladimír |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We present a combined report on the results of three editions of the Cell Tracking Challenge, an ongoing initiative aimed at promoting the development and objective evaluation of cell segmentation and tracking algorithms. With 21 participating algorithms and a data repository consisting of 13 data sets from various microscopy modalities, the challenge displays today's state-of-the-art methodology in the field. We analyzed the challenge results using performance measures for segmentation and tracking that rank all participating methods. We also analyzed the performance of all of the algorithms in terms of biological measures and practical usability. Although some methods scored high in all technical aspects, none obtained fully correct solutions. We found that methods that either take prior information into account using learning strategies or analyze cells in a global spatiotemporal video context performed better than other methods under the segmentation and tracking scenarios included in the challenge. |
| first_indexed | 2025-11-14T20:27:22Z |
| format | Article |
| id | nottingham-53287 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:27:22Z |
| publishDate | 2017 |
| publisher | Springer Nature |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-532872018-08-10T06:44:38Z https://eprints.nottingham.ac.uk/53287/ An objective comparison of cell-tracking algorithms Ulman, Vladimír Maška, Martin Magnusson, Klas E G Ronneberger, Olaf Haubold, Carsten Harder, Nathalie Matula, Pavel Matula, Petr Svoboda, David Radojevic, Miroslav Smal, Ihor Rohr, Karl Jaldén, Joakim Blau, Helen M Dzyubachyk, Oleh Lelieveldt, Boudewijn Xiao, Pengdong Li, Yuexiang Cho, Siu-Yeung Dufour, Alexandre C Olivo-Marin, Jean-Christophe Reyes-Aldasoro, Constantino C Solis-Lemus, Jose A Bensch, Robert Brox, Thomas Stegmaier, Johannes Mikut, Ralf Wolf, Steffen Hamprecht, Fred A Esteves, Tiago Quelhas, Pedro Demirel, Ömer Malmström, Lars Jug, Florian Tomancak, Pavel Meijering, Erik Muñoz-Barrutia, Arrate Kozubek, Michal Ortiz-de-Solorzano, Carlos We present a combined report on the results of three editions of the Cell Tracking Challenge, an ongoing initiative aimed at promoting the development and objective evaluation of cell segmentation and tracking algorithms. With 21 participating algorithms and a data repository consisting of 13 data sets from various microscopy modalities, the challenge displays today's state-of-the-art methodology in the field. We analyzed the challenge results using performance measures for segmentation and tracking that rank all participating methods. We also analyzed the performance of all of the algorithms in terms of biological measures and practical usability. Although some methods scored high in all technical aspects, none obtained fully correct solutions. We found that methods that either take prior information into account using learning strategies or analyze cells in a global spatiotemporal video context performed better than other methods under the segmentation and tracking scenarios included in the challenge. Springer Nature 2017-10-30 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/53287/1/CTC_Final.pdf Ulman, Vladimír, Maška, Martin, Magnusson, Klas E G, Ronneberger, Olaf, Haubold, Carsten, Harder, Nathalie, Matula, Pavel, Matula, Petr, Svoboda, David, Radojevic, Miroslav, Smal, Ihor, Rohr, Karl, Jaldén, Joakim, Blau, Helen M, Dzyubachyk, Oleh, Lelieveldt, Boudewijn, Xiao, Pengdong, Li, Yuexiang, Cho, Siu-Yeung, Dufour, Alexandre C, Olivo-Marin, Jean-Christophe, Reyes-Aldasoro, Constantino C, Solis-Lemus, Jose A, Bensch, Robert, Brox, Thomas, Stegmaier, Johannes, Mikut, Ralf, Wolf, Steffen, Hamprecht, Fred A, Esteves, Tiago, Quelhas, Pedro, Demirel, Ömer, Malmström, Lars, Jug, Florian, Tomancak, Pavel, Meijering, Erik, Muñoz-Barrutia, Arrate, Kozubek, Michal and Ortiz-de-Solorzano, Carlos (2017) An objective comparison of cell-tracking algorithms. Nature Methods, 14 (12). pp. 1141-1152. ISSN 1548-7091 Cell tracking; cell segmentation; Tracking algorithms http://dx.doi.org/10.1038/nmeth.4473 doi:10.1038/nmeth.4473 doi:10.1038/nmeth.4473 |
| spellingShingle | Cell tracking; cell segmentation; Tracking algorithms Ulman, Vladimír Maška, Martin Magnusson, Klas E G Ronneberger, Olaf Haubold, Carsten Harder, Nathalie Matula, Pavel Matula, Petr Svoboda, David Radojevic, Miroslav Smal, Ihor Rohr, Karl Jaldén, Joakim Blau, Helen M Dzyubachyk, Oleh Lelieveldt, Boudewijn Xiao, Pengdong Li, Yuexiang Cho, Siu-Yeung Dufour, Alexandre C Olivo-Marin, Jean-Christophe Reyes-Aldasoro, Constantino C Solis-Lemus, Jose A Bensch, Robert Brox, Thomas Stegmaier, Johannes Mikut, Ralf Wolf, Steffen Hamprecht, Fred A Esteves, Tiago Quelhas, Pedro Demirel, Ömer Malmström, Lars Jug, Florian Tomancak, Pavel Meijering, Erik Muñoz-Barrutia, Arrate Kozubek, Michal Ortiz-de-Solorzano, Carlos An objective comparison of cell-tracking algorithms |
| title | An objective comparison of cell-tracking algorithms |
| title_full | An objective comparison of cell-tracking algorithms |
| title_fullStr | An objective comparison of cell-tracking algorithms |
| title_full_unstemmed | An objective comparison of cell-tracking algorithms |
| title_short | An objective comparison of cell-tracking algorithms |
| title_sort | objective comparison of cell-tracking algorithms |
| topic | Cell tracking; cell segmentation; Tracking algorithms |
| url | https://eprints.nottingham.ac.uk/53287/ https://eprints.nottingham.ac.uk/53287/ https://eprints.nottingham.ac.uk/53287/ |