Just like snowflakes, no two biomedical research images are alike. That’s why you need an imaging expert on your team.
Preclinical research and clinical trial imaging data can be overwhelming or underwhelming, if it cannot be used to successfully communicate your product efficacy story. ImageIQ’s expertise lies in helping you tell your story with the right imaging modalities, fine-tuned imaging protocols, and the most objective, quantitative image analysis data possible.
With custom-tailored study support and image analysis, there are an infinite number of possibilities to capture, process, analyze, and visualize your preclinical research and clinical trial images. It all starts with the right imaging protocol backed by the industry’s best imaging and technology experts. Let us help you generate the best possible imaging data, reduce your costs, accelerate your time to market, and tell your research story to the world.
Custom-tailored and validated image analysis algorithms automatically processed each snowflake image to segment, skeletonize, and quantify morphological parameters including area, branching, roundness, hole fraction, convexity, etc. Snowflake 3 is the largest. Snowflake 4 has the most branching, due to its complicated central morphology. Snowflake 1 has the highest number of holes, as well as the largest hole fraction, and is the least round due to its open structure. Snowflake 6 has the least complicated structure, as demonstrated by its roundness and branching density data. The image measurement overlays show the segmented outer boundaries in green, skeletons in red, holes in blue, branch points in yellow and end points in white.
|Snowflake||Area||Holes||Hole Area||Hole Fraction||Skeletal Length||Skeletal Density||Branch Points||Branch Node Density||Endpoints||Roundness||Area Convexity||Perimeter|