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

Authors

2.2K

  1. EM
    Erik Meijering

    Erasmus MC, Netherlands

    6 publications · 2.1K citations

    6

    h-index

  2. MM
    Martin Maška

    Masaryk University, Czechia

    5 publications · 1.8K citations

    5

    h-index

  3. CO
    Carlos Ortíz-de-Solórzano

    Universidad de Navarra, Spain

    5 publications · 1.8K citations

    5

    h-index

  4. JT
    Jean-Yves Tinévez

    Institut Pasteur, France

    4 publications · 1K citations

    5

    h-index

  5. RB
    Ryoma Bise

    Kyushu University, Japan

    5 publications · 251 citations

    5

    h-index

1–5 of 2.2K

Venues

  1. PLoS ONE

    19 publications · 1K citations

    16

    h-index

  2. Scientific Reports

    17 publications · 984 citations

    16

    h-index

  3. Nature Communications

    14 publications · 1.3K citations

    14

    h-index

  4. eLife

    13 publications · 1K citations

    13

    h-index

  5. Bioinformatics

    13 publications · 996 citations

    12

    h-index

1–5