Voxelytics

Automated microscopy data analysis

Voxelytics consists of powerful machine learning models built to reconstruct features from biological microscopy data. 
Train and run the models needed for your analysis and execute tasks such as neuron segmentation, synapse detection, segmentation of organelles, and more.

Align and stitch EM datasets

Voxelytics supports volumetric imaging workflows from the beginning. Integrated routines for 3D alignment and in-plane stitching make it easy to turn a stack of individual image slices into a cohesive dataset for further analysis.
Dynamic mesh transformations and smart outlier detection enable smooth navigation through datasets.

Full flexibility - without coding 

Take advantage of the endless possibilities of Voxelytics. Mix and match (pre-trained) models and tasks to compose your own AI and reconstruction workflows. 
Keep track of complex projects through the user-friendly interface and integrated results artifact management . Without a single line of code!

Connectome reconstruction for EM data

Run the Voxelytics ML pipeline to automatically reconstruct your neural connectivity matrix from EM images. Voxelytics ships with pre-trained AI models that work well for many EM datasets.
The pipeline consists of a sequence of tasks including:

Nuclei detection

Execute the Voxelytics model for nuclei detection on EM data. 
You will have your nuclei automatically segmented. Use the results such as the number of nuclei or their position to make meaningful scientific discoveries.

Custom models and analysis

Create your own custom workflows to analyze your microscopy images. Voxelytics supports many image 2D and 3D imaging modalities (light and electron microscopy, Micro/Nano-CT, CT, MRI) and can be adapted to a wide range of image analysis tasks.It is optimized to work with large-scale volumetric EM inputs.
Train your custom models and quickly iterate to reconstruct, count, and measure the size of objects.