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Scratch Assay Module

Conduct in vitro studies on cell migration and wound healing efficiency, allowing real-time monitoring and quantification of cell dynamics.

Solution by Axion BioSystems
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Overview

The Scratch Assay Module is designed for the study of collective cell migration, often referred to as wound healing assays, in an in vitro setting. This module is compatible with Axion Biosystems' Omni and Lux platforms, enabling users to observe and quantify the progression of wound closure or the invasiveness of cells over time. It allows for real-time, label-free monitoring of cell migration, offering precise quantification of the speed of migration and gap closure.

The module facilitates a comprehensive evaluation of how various treatments and conditions impact cell migration. It supports a variety of assays tailored to research needs, including studies on cell migration, wound healing, and cancer cell invasion.

Key Features

  • Versatile Assays: Conduct a wide range of cell migration and invasion studies.
  • Automated Data Acquisition: Set up imaging systems for automatic capture within incubators, freeing researchers from manual microscopic observation and allowing results to be accessed conveniently.
  • Instant Analysis: Acquire rapid results to evaluate experiments and monitor cultures' progression seamlessly.

This module significantly enhances throughput and reliability by reducing manual steps and providing automated visualization and quantification. It efficiently measures metrics like the scratch area in micrometers squared, generating publication-ready graphics directly through the integrated software, thus streamlining the data processing workflow.

The Scratch Assay Module is ideal for applications in advanced metastatic cancer studies and wound healing research, offering an invaluable resource for understanding the dynamics of cell migration in various biological contexts.

Meta

Category
Assay Design & Analysis
Field(s)
Imaging & Diagnostics
Target user(s)
Bench Scientist / Lab TechnicianClinical / Diagnostic Professional
Tag(s)
Digital Pathology / Imaging