Software & Data
Analysis Solutions

We’ve rebranded some of our products, learn more ›

CODEX® is now PhenoCycler,
Phenoptics™ is now Phenolmager.

QPTIFF: Powering Spatial Data Analysis

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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
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High-Quality Image data
Akoya’s algorithms compress terabyte-sized images into gigabyte-sized QPTIFFs without compromising quality.
High-Quality Image data
Cellular segmentation and Quality control
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Cellular segmentation and Quality control
Cell segmentation is vital in spatial biology, allowing precise cell quantification, spatial analysis, and insight into complex systems and disease research.
Cellular segmentation and Quality control
Clustering and Phenotyping
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Clustering and Phenotyping
Clustering and phenotyping pinpoint cell populations, revealing spatial, functional, and disease insights, driving transformative discoveries and targeted therapy development in complex biology.
Clustering and Phenotyping
Deep Spatial Analysis
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Deep Spatial Analysis
Cellular neighborhood analysis, part of deep spatial analysis, unveils cell interactions and microenvironmental cues into disease insights, guiding therapeutic targets.
Deep Spatial Analysis
Spatial Signature Development
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Spatial Signature Development
Spatial signatures in deep spatial analysis are crucial for translational and clinical research, connecting tissue-specific patterns with therapeutic understanding and personalized treatments, bridging molecular data with clinical applications.
Spatial Signature Development

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

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

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QuPath is open-source software for bioimage analysis and is often used for digital pathology applications that offer a powerful set of tools for working with whole slide images (Bankhead, P et. al. 2017)