ArticleBioMed research international2014
CELLCOUNTER: novel open-source software for counting cell migration and invasion in vitro.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Methods to analyze cell migration data: fundamentals and practical guidelines.Nature methods · 2026Review
- MicroRNA-372-3p impairs fatty acid metabolism in hepatocellular carcinoma cells by targetingBioImpacts : BI · 2025Article
- Machine learning-based automated fungal cell counting under a complicated background with ilastik and ImageJ.Engineering in life sciences · 2021Article
- Osteogenic effects of microRNA-335-5p/lipidoid nanoparticles coated on titanium surface.Archives of oral biology · 2021Article
- Emerging Insights into Keratin 16 Expression during Metastatic Progression of Breast Cancer.Cancers · 2021Article
- Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography.Journal of visualized experiments : JoVE · 2020Article
- Differential Growth Characteristics of Crimean-Congo Hemorrhagic Fever Virus in Kidney Cells of Human and Bovine Origin.Viruses · 2020Article
- Lactate-mediated mitoribosomal defects impair mitochondrial oxidative phosphorylation and promote hepatoma cell invasiveness.The Journal of biological chemistry · 2017Article
- Identification of a novel p53 target, COL17A1, that inhibits breast cancer cell migration and invasion.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transwell Boyden chamber based migration/invasion assay is a simple and extensively used approach for the characterization of cell motility in vitro. Cell motility is quantified by counting the number of cells that pass through the filter membrane. The counting is usually performed manually, which is laborious and error prone. We have therefore developed CELLCOUNTER, an application that is capable of recognizing and counting the total number of cells through an intuitive graphical user interface. The counting can be performed in batch, and the counting results can be visualized and further curated manually. CELLCOUNTER will be helpful in streamlining the experimental process and improving the reliability of the data acquisition.
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Registered trials
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