Quantitative method for in vitro matrigel invasiveness measurement through image analysis software

The determination of cell invasion by matrigel assay is usually evaluated by counting cells able to pass through a porous membrane and attach themselves to the other side, or by an indirect quantification of eluted specific cell staining dye by means of optical density measurement. This paper describes a quantitative analytical imaging approach for determining the invasiveness of tumor cells using a simple method, based on images processing with the public domain software, ImageJ. Images obtained by direct capture are split into the red channel, and the generated image is used to measure the area that cells cover in the picture. To overcome the several disadvantages that classical cell invasion determinations present, we propose this method because it generates more accurate and sensitive determinations, and it could be a reasonable option for improving the quality of the results. The cost-effective alternative method proposed is based on this simple and robust software that is worldwide affordable.