We’ve rebranded some of our products, learn more ›
CODEX® is now PhenoCycler, Phenoptics™ is now Phenolmager.
QPTIFF: Powering Spatial Data Analysis
Anchoring Akoya’s Software Ecosystem is our revolutionary QPTIFF file format, a breakthrough that transforms spatial imaging into a manageable and efficient process. Our proprietary image processing algorithm ensures that high-quality spatial images are delivered within Gigabyte, not Terabyte-sized files. This breakthrough in size management makes spatial imaging more accessible and manageable, streamlining your research processes.
QPTIFF empowers your spatial analysis by seamlessly integrating into Akoya software solutions, a variety of software partner platforms, and open-source solutions. Furthermore, data integration is possible across a multitude of data modalities, including DNA, RNA, and more thereby harmonizing resolution with practicality, and enriching the depth and breadth of your research.
What is a Framework for Deep Spatial Analysis?
High-Quality Image data
Akoya’s algorithms compress terabyte-sized images into gigabyte-sized QPTIFFs without compromising quality.
A Software Ecosystem for Your Next Discovery
Akoya Biosciences’ is committed to forging a versatile software ecosystem that addresses diverse needs and workflows. Our approach encompasses a wide range of options, ensuring flexibility and accessibility. This includes collaborative solutions with software partners, trusted service providers, proprietary Akoya solutions, and open-source platforms.
Akoya's Software Partners
Want to learn more about our software ecosystem?
Explore the various options for seamless data integration from PhenoCycler-Fusion 2.0 images to actionable datasets
Akoya Software Solutions
Phenochart
Phenochart enables viewing and annotating digital slides from PhenoImager Fusion and PhenoImager HT systems. The updated workflow includes spectral unmixing: open raw image files in Phenochart, and annotate areas, before exporting to inform.
inForm
inForm® is a patented, automated tissue analysis software package that facilitates comparative studies involving multiple markers and specimens, aiding researchers in swiftly identifying disease indicators.. This streamlined process includes spectral unmixing and image stitching, preparing the data for analysis by a variety of compatible software tools.
phenoptr & phenoptrReports
The phenoptrReports package offers robust and user-friendly tools for analyzing spatial relationships among cellular phenotypes and visualizing these relationships overlaid on tissues. It allows you to identify cells co-expressing specific markers, assess the quality of your unmixing library, and present the results in easily shareable and comprehensible data reports.
Open-Source Software Solutions
