Analyzing Tissue Microarrays (TMAs) is an increasingly prevalent analytic technique. Automated manufacturing methods and a greater diversity of available samples has improved the quality, availability and usability of TMAs. TMA analysis is accomplished with the automated tissue analysis approach discussed under Tissue Section Analysis. iGeneration systems provide a platform to examine multiple markers for high-content information from these arrays, using an automated analysis.
Highlights of Analysis with iGeneration Imaging Cytometers
The images below show the diversity of label detection in a microarray (red fluorescence, left) and green fluorescence (center). Automated tissue detection and the identification of high resolution scan areas for each is also shown (right).
Using phantom contour analysis (a random stereological sampling approach) allows tissue maps to be drawn to show the diversity of expression levels for a specific tissue component.
This approach allows for rapid identification of tissue elements in the array that are either high, moderate, or low expressors for multiple markers (two in the case shown above).
The iGeneration platforms correlate high resolution images with this quantitative data. The images below show twelve examples from the TMA. The images combine fluorescence (green, yellow and red color) with scatter imaging of the section (gray).
Along with color-coded expression-level detection and tissue images, iGeneration systems collect sensitive quantitative data for each tissue that can be plotted for comparison. The green and red fluorescence level in all elements of the array are plotted in the two graphs shown below.
Benefits of Using iGeneration Technology
The iGeneration platform provides an automated approach to tissue microarray analysis. The analysis combines constituent detection, tissue imaging, and quantitative data from a single run.
