Do it yourself AI for image analysis
The Aiforia Create tool is:
Intuitive: no coding, AI experience, or local hardware is needed to use our tool — only the expertise you hold in your own field. The platform is also optimized to minimize the annotations needed for it to learn.
Versatile: supports the analysis of images from any research area or industry.
Scalable: from simple to complex image analysis tasks, from single users to large research groups. Pay for what you use.
Benefits of Aiforia Create:
Save time: by automating your analyses
Produce: quantitative data and visualize your results
Discover: novel data from images
Aiforia Create lives in our cloud platform so all you need is internet access to upload and store your images to get started. Watch the video to see it in action.
How does Aiforia Create work?
Annotate features of interest and train your own AI model
Active learning tools within the platform enable you to train the model
Eventually your AI model reaches high levels of accuracy and your tasks can be automated
You can then start to delegate your image analysis tasks to your AI assistant which can analyze in a matter of seconds
Measurements of spatial and morphological metrics for identified objects
Multi-class object detection
Tedious quantification tasks or identification of rare objects or features
Possible from whole slide images
Combine with automated region of interest selection to automate the whole image analysis task
Nerve cell counting in Parkinson’s disease
Fat and fibrosis measurements in liver tissue (NASH, NAFLD)
Measurements between stromal CD8+ cells and lung cancer tumor borders
Malaria parasite detection from blood smear
Multi-class semantic segmentation
Automated segmentation of image patterns
Quantifying surface areas and a versatile range of spatial metrics
Combine with object quantification to automate the whole image analysis task
Tumor grading and tumor burden
To detect TH+ neuronal areas and plaques
Tissue architecture, for example: portal areas, hepatocytes, parenchyme, capsule, biliary ducts, veins
Identification and quantification of tissue or cell lesions caused by infectious diseases
Regression models predicting continuous values
Measuring depth of color, intensity of staining, patient outcomes
Cell and nucleus size
Patient survival time