Highly multiplexed imaging is changing the way that we view and understand tissues and is helping to elucidate previously unrecognized cellular populations and interactions. The amount of information contained in these images can overwhelm traditional analysis tools, so numerous techniques have been developed to help identify patterns in high dimensional data.

Indica Labs’ HALO High Dimensional Analysis module offers a suite of tools for analysis of highly multiplexed images and is the focus of Indica’s latest application note.

Download the paper to learn about the module’s capabilities for exploratory analysis using dimensionality reduction and unsupervised clustering.