Subjectivity of analysis and poor reproducibility are key hurdles to be overcome for biological image analysis. Standard segmentation can lead to sub-standard results and require substantial manual curation which is subject to human error.
Using state-of-the-art, AI-first software architecture, Aivia is a uniquely innovative and complete 2-to-5D image visualization, analysis and interpretation platform designed for the reliable processing and reconstruction of highly complex images in just minutes.
Make AI-enhanced image analysis accessible for all - with no computer science expertise required
Leverage machine learning capabilities to generate robust and reproducible segmentation results
Realize powerful and fast 2-5D visualization and analysis to unleash the value of your data - all within a single platform
Advanced data analysis accessible for all
When working in a core imaging facility or as an academic investigator in cell biology or neurosciences, increasing the adoption of new technologies to achieve high-quality results is critical for the success of your institution, and for your publishing output.
Incumbent image analysis solutions can be unreliable and ignore the users' domain expertise, leading to challenges such as:
Program delays due to laborious segmentation tasks which are repetitive, difficult to master for non-experts in image processing, error-prone and time-consuming.
The need to train laboratory personnel on image processing methods for a multitude of applications - which can become difficult as projects scale and research diversifies.
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