Akoya Biosciences Deploys the Maxfuse Algorithm Co-Developed by Dr. Garry Nolan and His Laboratory At Stanford University for Multiomic Integration of Spatial and Single-Cell Data on the Enable Medicine Platform

Akoya Biosciences, Inc. announces the availability of MaxFuse, an advanced algorithm co-developed in the laboratory of Dr. Garry Nolan for integrating multiomic single-cell and spatial datasets. Dr. Nolan is a co-founder and member of the Board of Directors of Akoya Biosciences. Recent technology advancements have enabled analyses of the proteome, metabolome, transcriptome, and epigenome both spatially and at the single-cell level.

However, the ability to integrate the data from these diverse modalities and platforms is challenging. The MaxFuse algorithm from Dr. Nolan was developed to overcome these limitations and provides a reliable, fast, cost-effective, and scientifically powerful means to integrate spatial proteomic data with single-cell transcriptomic and epigenomic data sets. MaxFuse was developed in collaboration with the laboratories of Nancy Zhang and Zongming Ma at the University of Pennsylvania.