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Deep Learning
Artificial intelligence for image based applications

Artificial intelligence (AI) is the next frontier for imaging applications. Aivia is at the forefront of AI-enabled technology for next-generation image analysis. We are the first commercial image analysis software with a fully integrated end-to-end pipeline for deep learning.

 

Aivia provides a turnkey solution for applying pre-trained deep learning models for diverse imaging applications from restoration to segmentation and prediction. By providing some training images with ground truths (e.g. annotations), you can train a new model or update an existing one optimized for your application. Try Aivia today and experience the future of image analysis.

Model applications

In Aivia you can use deep learning models for three types of application: restoration, segmentation and prediction. You can apply a pre-trained model in Aivia or augment one of the models with your own data using Aivia Cloud.

Image segmentation

Segmentation of 3D electron microscopy (3DEM) datasets can be a tedious task for many researchers. Typically, scientists must go through hundreds of image slices and manually draw the boundary for each cell, which could take days to accomplish.

In Aivia, we have developed several pre-trained deep learning models based on different convolutional neural network architectures (DenseNet, UNet, 3D-UNet) to tackle EM image segmentation.

The deep learning model can applied to EM datasets like an image processing step. The model transforms the input image into a probability map of cell regions that can be easily segmented by threshold, enabling complete reconstruction of the image stack in minutes.