ArticleScientific reports2017
An end-to-end software solution for the analysis of high-throughput single-cell migration data.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 43 citations in OpenAlex.
- Deep learning-based morphological analysis of human sperm.Medical & biological engineering & computing · 2026Article
- Advancing in vitro cell migration studies: a review of open-source analytical platforms for cancer and wound healing research.Cell adhesion & migration · 2025Review
- CellRomeR: an R package for clustering cell migration phenotypes from microscopy data.Bioinformatics advances · 2025Article
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- MotGen: a closed-loop bacterial motility control framework using generative adversarial networks.Bioinformatics (Oxford, England) · 2024Article
- Methods and computational tools to study eukaryotic cell migrationFrontiers in cell and developmental biology · 2024Review
- Morphomigrational description as a new approach connecting cell's migration with its morphology.Scientific reports · 2023Article
- MACC1-induced migration in tumors: Current state and perspective.Frontiers in oncology · 2023Review
- 3D printed inserts for reproducible high throughput screening of cell migration.Frontiers in cell and developmental biology · 2023Article
- Quantification of cell migration: metrics selection to model application.Frontiers in cell and developmental biology · 2023Review
- Article
- CelltrackR: An R package for fast and flexible analysis of immune cell migration data.Immunoinformatics (Amsterdam, Netherlands) · 2021Article
- Large-scale data analysis for robotic yeast one-hybrid platforms and multi-disciplinary studies using GateMultiplex.BMC biology · 2021Article
- Perivascular macrophages create an intravascular niche for CD8Clinical & translational immunology · 2021Article
- A least microenvironmental uncertainty principle (LEUP) as a generative model of collective cell migration mechanisms.Scientific reports · 2020Article
- Community standards for open cell migration data.GigaScience · 2020Article
- Modeling and analysis of melanoblast motion.Journal of mathematical biology · 2019Article
- Interplay Between the Persistent Random Walk and the Contact Inhibition of Locomotion Leads to Collective Cell Behaviors.Bulletin of mathematical biology · 2019Article
- DRfit: a Java tool for the analysis of discrete data from multi-well plate assays.BMC bioinformatics · 2019Article
- DoRes within CellMissy: dose-response analysis on cell migration and related data.Bioinformatics (Oxford, England) · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The systematic study of single-cell migration requires the availability of software for assisting data inspection, quality control and analysis. This is especially important for high-throughput experiments, where multiple biological conditions are tested in parallel. Although the field of cell migration can count on different computational tools for cell segmentation and tracking, downstream data visualization, parameter extraction and statistical analysis are still left to the user and are currently not possible within a single tool. This article presents a completely new module for the open-source, cross-platform CellMissy software for cell migration data management. This module is the first tool to focus specifically on single-cell migration data downstream of image processing. It allows fast comparison across all tested conditions, providing automated data visualization, assisted data filtering and quality control, extraction of various commonly used cell migration parameters, and non-parametric statistical analysis. Importantly, the module enables parameters computation both at the trajectory- and at the step-level. Moreover, this single-cell analysis module is complemented by a new data import module that accommodates multiwell plate data obtained from high-throughput experiments, and is easily extensible through a plugin architecture. In conclusion, the end-to-end software solution presented here tackles a key bioinformatics challenge in the cell migration field, assisting researchers in their high-throughput data processing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.