Single-cell Tracking
Single-Cell Tracking is a computational method that distinguishes itself by enabling the precise identification, monitoring, and lineage reconstruction of individual cells over time within dynamic biological systems, typically from time-lapse microscopic imaging data.
408
Publications
32.5K
Citations
2.2K
Authors
764
Institutions
Publications per year
2017–2026
179
Parents
408
Robust single-particle tracking in live-cell time-lapse sequences
Khuloud Jaqaman, Dinah Loerke, Marcel Mettlen et al. · Nature Methods · 2008 · 2.1K citations · Full text
A comparison of single-cell trajectory inference methods
Wouter Saelens, Robrecht Cannoodt, Helena Todorov et al. · Nature Biotechnology · 2019 · 1.7K citations
Life Sciences, Biology, Cell Biology +10
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Centre National de la Recherche Scientifique
Paris, France
16 h-index
58 publications
4.3K citations
Stanford University
Stanford, United States
11 h-index
43 publications
7.6K citations
Heidelberg University
Heidelberg, Germany
11 h-index
53 publications
16.6K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
11 h-index
30 publications
2.7K citations
Harvard University
Cambridge, United States
11 h-index
22 publications
1.4K citations
ETH Zurich
Zurich, Switzerland
10 h-index
34 publications
5.5K citations

Howard Hughes Medical Institute
Chevy Chase, United States
9 h-index
16 publications
2.4K citations
Institut Pasteur
Paris, France
8 h-index
22 publications
5.7K citations
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19 publications · 1K citations
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17 publications · 984 citations
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14 publications · 1.3K citations
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13 publications · 1K citations
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13 publications · 996 citations
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