The IRIS 2 is a versatile FluoroSpot and ELISpot reader designed to meet the demands of modern laboratories. Capable of analyzing up to four analytes simultaneously, it offers unparalleled accuracy and speed, making it an essential tool for researchers. With the introduction of the new FociSpot application, the IRIS 2 extends its capabilities to quantify virus foci in focus forming assays (FFA). This system is built around Mabtech’s patented RAWspot™ algorithm, ensuring precise spot center detection and accurate counting. Paired with the intuitive Mabtech Apex™ software, the IRIS 2 delivers a plug-and-play experience that simplifies your workflow—just load the plate, select the assay, and press “read.”
The IRIS 2’s flexibility is evident in its ability to handle ELISpot, FluoroSpot (up to four colors), and FociSpot assays. Its precise spot counting capabilities are enhanced by the fixed focus and self-calibrating XY table, which streamline the workflow and minimize user intervention. The intuitive software provides a smooth user experience, with customizable presets for recurring experiments, ensuring that the system is ready for automated plate loading and high-throughput applications.
Designed for a streamlined workflow, the IRIS 2 is pre-calibrated for ease of use. Users simply need to insert the plate, select the assay type, and press “read.” The system records the entire signal from every spot, allowing for post-reading adjustments without the need to re-read the plate. Mabtech Apex™ software further enhances efficiency with its intuitive layout features and automatic data export, speeding up the transition from data acquisition to analysis.
At the heart of the IRIS 2’s precision is the RAWspot™ algorithm, optimized for detecting the exact location of the spot center. This accuracy is crucial for identifying cells that secrete multiple analytes in FluoroSpot assays. The IRIS 2 also introduces a new dimension of spot data—relative spot volume (RSV)—by extracting a 3-dimensional volume for each spot, corresponding to the amount of secreted analyte. This detailed analysis capability is essential for researchers seeking deeper insights into their data.
