ArticleScientific reports2022
LIM Tracker: a software package for cell tracking and analysis with advanced interactivity.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Cellular Morphometric Analysis (CellMorph)-a comprehensive imaging-based tool for quantifying cellular phenotype heterogeneity and dynamics across biological processes.The FEBS journal · 2026Article
- TLR4-paxillin-Rac1 signaling mediates LPS-induced dysregulation of keratinocyte function.iScience · 2026Article
- ZO-1 shuttles between apical junctional complexes and podosomes by riding ERK activation waves.Nature communications · 2026Article
- AutoMorphoTrack: A modular framework for quantitative analysis of organelle morphology, motility, and interactions at single-cell resolution.bioRxiv : the preprint server for biology · 2026Article
- Lineage-resolved lifetime modelling reveals potential quiescence and synchronization among MDA-MB-468 breast cancer cells.Frontiers in cell and developmental biology · 2026Article
- Methods to analyze cell migration data: fundamentals and practical guidelines.Nature methods · 2026Review
- Coexistence of trapped and flow-transported nuclei enables fast pigeon post communication across multinucleated cell.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- FloCyT: A Flow-Aware Centroid Tracker for Cell Analysis in High-Speed Capillary-Driven Microfluidic Flow.Sensors (Basel, Switzerland) · 2025Article
- Time-Lapse Tracking of Acanthamoeba castellanii Trophozoite Activity During Exposure to Contact Lens Disinfectants.Investigative ophthalmology & visual science · 2025Article
- Opto-p53: A light-controllable activation of p53 signaling pathway.Cell structure and function · 2025Article
- Video microscopy: an old story with a bright biological future.Biomedical engineering online · 2025Review
- A molecular basis for spine color morphs in the sea urchin Lytechinus variegatus.Scientific reports · 2024Article
- Motion blur microscopy: in vitro imaging of cell adhesion dynamics in whole blood flow.Nature communications · 2024Article
- CellTracksColab is a platform that enables compilation, analysis, and exploration of cell tracking data.PLoS biology · 2024Article
- Motion Blur Microscopy.bioRxiv : the preprint server for biology · 2024Article
- Article
- Methods and computational tools to study eukaryotic cell migrationFrontiers in cell and developmental biology · 2024Review
- A semi-automated cell tracking protocol for quantitative analyses of neutrophil swarming to sterile andbioRxiv : the preprint server for biology · 2023Article
- CellTrackVis: interactive browser-based visualization for analyzing cell trajectories and lineages.BMC bioinformatics · 2023Article
- TrackAnalyzer: A Fiji/ImageJ toolbox for a holistic analysis of tracks.Biological imaging · 2023Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell tracking is one of the most critical tools for time-lapse image analysis to observe cell behavior and cell lineages over a long period of time. However, the accompanying graphical user interfaces are often difficult to use and do not incorporate seamless manual correction, data analysis tools, or simple training set design tools if it is machine learning based. In this paper, we introduce our cell tracking software "LIM Tracker". This software has a conventional tracking function consisting of recognition processing and link processing, a sequential search-type tracking function based on pattern matching, and a manual tracking function. LIM Tracker enables the seamless use of these functions. In addition, the system incorporates a highly interactive and interlocking data visualization method, which displays analysis result in real time, making it possible to flexibly correct the data and reduce the burden of tracking work. Moreover, recognition functions with deep learning (DL) are also available, which can be used for a wide range of targets including stain-free images. LIM Tracker allows researchers to track living objects with good usability and high versatility for various targets. We present a tracking case study based on fluorescence microscopy images (NRK-52E/EKAREV-NLS cells or MCF-10A/H2B-iRFP-P2A-mScarlet-I-hGem-P2A-PIP-NLS-mNeonGreen cells) and phase contrast microscopy images (Glioblastoma-astrocytoma U373 cells). LIM Tracker is implemented as a plugin for ImageJ/Fiji. The software can be downloaded from https://github.com/LIMT34/LIM-Tracker .
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