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References from WoundPy: an improved automatized method for in vitro cell motility investigation based on wound alignment and absolute velocity profiling. Local targets link to admitted publications; unresolved targets remain external evidence.
A novel approach to quantify the wound closure dynamic
10.1016/j.yexcr.2017.01.005 · External reference
The wound healing assay revisited: a transport phenomena approach
10.1016/j.ces.2016.11.014 · External reference
Modeling and predicting the cell migration properties from scratch wound healing assay on cisplatin-resistant ovarian cancer cell lines using artificial neural network
10.3390/healthcare9070911 · 2021 · External reference
Focal adhesions, contractility, and signaling
10.1146/annurev.cellbio.12.1.463 · 1996 · External reference
Extended live-tracking and quantitative characterization of wound healing and cell migration with SiR-Hoechst
10.1016/j.yexcr.2018.10.014 · 2018 · External reference
3D-printed barriers with machine learning powered image analysis for enhanced wound healing assays
10.1016/j.matdes.2025.114746 · 2025 · External reference
An automated in vitro wound healing microscopy image analysis approach utilizing U-net-based deep learning methodology
10.1186/s12880-024-01332-2 · 2024 · External reference
An image segmentation method for wound healing assay images
10.38061/idunas.853356 · 2021 · External reference
Tumour-cell invasion and migration: diversity and escape mechanisms
10.1038/nrc1075 · 2003 · External reference
Unresolved reference
2026 · External reference
PyScratch: an ease of use tool for analysis of scratch assays
10.1016/j.cmpb.2020.105476 · 2020 · External reference
TScratch: a novel and simple software tool for automated analysis of monolayer wound healing assays: short technical reports
10.2144/000113083 · 2009 · External reference
Scratch assay microscopy: a reaction–diffusion equation approach for common instruments and data
10.1016/j.mbs.2020.108482 · 2020 · External reference
OpenCV with python
10.1007/978-1-4842-4261-2_2 · 2019 · External reference
Research techniques made simple: analysis of collective cell migration using the wound healing assay
10.1016/j.jid.2016.11.020 · 2017 · External reference
Evaluation of the cell invasion and migration process: a comparison of the video microscope-based scratch wound assay and the Boyden Chamber assay
10.3791/56337 · 2017 · External reference
Array programming with NumPy
10.1038/s41586-020-2649-2 · 2020 · External reference
Cell migration and invasion assays as tools for drug discovery
10.3390/pharmaceutics3010107 · 2011 · External reference
An introduction to the wound healing assay using live-cell microscopy
10.4161/cam.36224 · 2014 · External reference
The frequent sampling of wound scratch assay reveals the “Opportunity” window for quantitative evaluation of cell motility-impeding drugs
10.3389/fcell.2021.640972 · 2021 · External reference
Cell migration: a physically integrated molecular process
10.1016/s0092-8674(00)81280-5 · 1996 · External reference
Inositol and PIP2/PIP3 ratio: at the crossroad of the biodynamic interface between cells and their microenvironment
10.3390/biom15030451 · 2025 · External reference
Annotated high-throughput microscopy image sets for validation
10.1038/nmeth.2083 · 2012 · External reference
miRNAs from zebrafish embryo extracts inhibit breast cancer invasiveness and migration by modulating miR-218-5p/PI3K pathway
10.3390/ijms26083812 · 2025 · External reference
Cellular motility driven by assembly and disassembly of actin filaments
10.1016/s0092-8674(03)00120-x · 2003 · External reference
Study of wound healing dynamics by single pseudo-particle tracking in phase contrast images acquired in time-lapse
10.3390/e23030284 · 2021 · External reference
An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
10.1371/journal.pone.0232565 · 2020 · External reference
Optimized scratch assay for in vitro testing of cell migration with an automated optical camera
10.3791/57691 · 2018 · External reference
Migratory metrics of wound healing: a quantification approach for in vitro scratch assays
10.3389/fonc.2018.00633 · 2018 · External reference
A novel method for evaluating and visualizing scratch wound healing assays using level-set and image sector analysis
10.1093/pnasnexus/pgaf355 · 2025 · External reference
SciPy 1.0: fundamental algorithms for scientific computing in python
10.1038/s41592-019-0686-2 · 2020 · External reference
Development of an automated image analysis system for quantitative evaluation of wound healing assays
10.37934/araset.65.1.196207 · 2025 · External reference