Molecular biology software CODEX

medicaldata analysismanagement

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. 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. 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. DEEP SPATIAL ANALYSIS Cellular neighborhood analysis, part of deep spatial analysis, unveils cell interactions and microenvironmental cues into disease insights, guiding therapeutic targets.