AI enhanced image analysis
Boost your analysis with AI
Additionally, deep learning models can be applied to any image via the recipe console. Open or drag-and-drop the model into the recipe console and it automatically converts to a recipe for you. This provides you an easy way to deploy and batch apply any pre-trained deep learning model from our library or created in Aivia.
Using this new system you can add the power of AI smoothly into your existing analysis workflow.
AI image restoration
and virtual staining
Leverage our expertise
These models are available to you (the Aivia user) and can be accessed and used in multiple ways. If your data looks similar to our training data you can deploy it in Aivia as a recipe, as a pre-processing step in an application specific recipe (e.g. 3D Cell Analysis), or in Aivia Cloud. If your data is different, you can modify our model slightly (transfer learning in Aivia Cloud) or use our model structure to train a brand-new model (regular Aivia Cloud training of DL model).
You can access the pre-trained models from within Aivia (Help>Update>Models). We also organized these models (including a description and test image data) into a online library so you can explore and find the best model for your application. Just search the library for your organelle, imaging modality or application.
With this large selection of pre-trained deep learning models, you don’t have to be an expert to use AI.
Aivia your way
Your workspace, your set up
When you find a layout that you love, save it for future use. You can even save multiple layouts, one for each imaging analysis task such as visualization, video creation, results from manual annotations, 3D object detection, etc.
Find the right tools where and when you need them.
Tag and search
Keep your notes in context
Tag presets makes this system ideal for annotating large, multi-image, collaborative projects. Simply create all the types of tags that you need, save them as preset and re-load them each time you need to annotate.
Label what is important to you or share your thoughts with colleagues all in the context of the image.
Image credits: Neuron, pre and postsynaptic labels - Dr. Wan-Qing (University of Washington.
More features and improvements
New 2D Cell analysis recipe to detect cells, nuclei and up to 5 different types of organelles
Copy and paste selected objects to a new object set or an existing set for more ways to organize your results
New object visibility control - hide or only show selected objects
New template batch apply mode - batch apply the displayed Aivia recipe and measurement selection
Multiple story board per image to give you flexibility when telling your story
New object classifier options including training on multiple images and ability to select which object set to use in the classifier
Various bug fixes