The wound healing assay (or scratch assay) is a technique frequently used to quantify the dependence of cell motility—a central process in tissue repair and evolution of disease—subject to various treatments conditions. However processing the resulting data is a laborious task due its high throughput and variability across images.
Allows cell migration analysis. AVeMap is an executable, multiplatform program, that can analyze in parallel a large number of phase-contrast time-lapse videos of cells migrating after wounding. It therefore allows genes to be clustered on the basis of objective and quantitative measurements (V and S). The optional AVeMap+ software allows generation of heatmaps from the AVeMap analysis.
Analyzes biomedical images acquired by various types of microscopes. MiToBo completely separates the implementation of image processing algorithms from potential user interfaces. MiToBo provides a framework for implementing image analysis algorithms allowing for automatic documentation and automatic user interface generation, and includes the graphical programming editor Grappa for user-friendly design of more complex processing pipelines.
A free, open-source system designed for flexible, high-throughput cell image analysis. CellProfiler can address a variety of biological questions quantitatively, including standard assays (for example, cell count, size, per-cell protein levels) and complex morphological assays (for example, cell/organelle shape or subcellular patterns of DNA or protein staining).
A cross-platform data management system for cell migration/invasion data that simplifies and fully automates data management, storage and analysis, from experimental set-up to data visualization and exploration. CellMissy is a client-server application with a graphical user interface on the client, and a relational database in the back-end to store the data. The client application is composed of three modules that cover the different functions of CellMissy: the Experiment Manager, the Data Loader and the Data Analyzer. On top of these modules, CellMissy provides tools for import/export of full experiments and templates.
A software tool for analysis of monolayer wound healing assays. This Robust Quantitative Scratch Assay algorithm introduced statistical outputs where migration rates are estimated, cellular behaviour is distinguished and outliers are identified among groups of unique experimental conditions. Furthermore, the RQSA decreased measurement errors and increased accuracy in the wound boundary at comparable processing times compared to previously developed method (TScratch).
Evaluates the open image area. TScratch is based on a method which uses an edge-detection algorithm based on the discrete curvelet transform. This tool automates the analysis of wound healing assays performed with a range of cell lines with differing cell morphology. It can be useful for the investigation of a wound healing assay image data set that was analyzed using manual open area quantification.
Traces the migrating wound front with flow detection analysis to capture transport processes inside the cell layer. CIV employs an automated detection mechanism to proceed. It allows users to manually mask augmentation in individual frames. This tool is useful to conduct analyses aiming to capture and quantify flow patterns in migrating cell layers. It can be used in images with low signal to noise ratio and can handle very low levels of fluorescence.
A free, cross-platform, open source software for high throughput time-lapse data processing for live cell imaging. TLA is a graphical tool which enables easy access to high-throughput live cell imaging for every user, regardless of the individual expertise. Beginners can easily process stacks of time-lapse data by loading an appropriate image processing setup and time-lapse evaluation setup. Advanced users can modify existing setups, or create new setups which suit their need and special experimental conditions.
Combines state-of-the-art automated neuron tracing and machine learning-enabled neuron classification tools. Aivia provides methods for analyzing time-lapse images. It covers a wide range of applications such as cell/nuclei counting, cell/nuclei tracking, 3D neuron detection and analysis, machine learning cell classification, particle tracking, wound healing and calcium oscillation tracking. Aivia also comes with editing tools to help get even better results.
Provides a web-based quantitative image and video analysis tool for cell migration assays and wound healing. Wound Healing ACAS Image Analysis allows users to assess 2D cell migration and invasion experiments. It uses ibidi Culture-Inserts to execute migration experiments. This software is available in a free version that offers 15 free analysis jobs per month for registered users.
0 - 0 of 0
1 - 2 of 2
Filters / Sort by
0 - 0 of 0