Molecular Biology Software

Spatial Data Analysis Powered by QPTIFFinput:
output:Our revolutionary QPTIFF file format, which is the foundation of Akoya’s Software Ecosystem, is a groundbreaking innovation that simplifies and streamlines the process of spatial imaging. Our proprietary image processing algorithm guarantees that spatial images of superior quality are transmitted in Gigabyte-sized files, rather than Terabyte-sized files. This innovation in size management simplifies your research processes by increasing the accessibility and manageability of spatial imaging.

By seamlessly integrating into Akoya software solutions, a variety of software partner platforms, and open-source solutions, QPTIFF empowers your spatial analysis. Additionally, the integration of data across a variety of data modalities, such as DNA and RNA, is feasible, thereby enhancing the breadth and depth of your research and balancing resolution with practicality.input:
output:
What is the definition of a framework for deep spatial analysis?input:
output:EXCELLENT IMAGE DATA

Akoya’s algorithms compress terabyte-sized images into gigabyte-sized QPTIFFs without sacrificing quality.input:
output:CELLULAR SEGMENTATION AND QUALITY CONTROL
Cell segmentation is essential in spatial biology, as it enables the precise quantification of cells, spatial analysis, and insight into complex systems and disease research.input:
output:CLUSTERING AND PHENOTYPING

Cell populations are identified through clustering and phenotyping, which provides spatial, functional, and disease insights. This information is instrumental in the development of targeted therapies and transformative discoveries in the field of complex biology.input:
output:IN-DEPTH SPATIAL ANALYSIS

Deep spatial analysis, which includes cellular neighborhood analysis, reveals cell interactions and microenvironmental cues that provide disease insights, thereby directing therapeutic targets.