Differential Interference Contrast (DIC) Image Segmentation and Quantification using Deep Learning
Recipe (hxrecipe), Deep learning model, Demo
18 Nov 2021 - This workflow uses deep learning to segment images obtained by Differential Interference Contrast (DIC) microscopy. Nuclei and mitochondria are segmented and counted cell per cell. Learn more
Browse TensorBoard of old Deep Learning Training sessions
Deep learning model, Python (pyscro)
21 May 2021 - This Xtra contains a module that allows you to browse TensorBoard logs from previous Deep Learning Training sessions. Learn more
FIBSEM Mitochondria Segmentation
Deep learning model
12 Jan 2021 - Pre-trained model for the Deep Learning Prediction module detecting mitochondria in a Focused Ion Beam Scanning Electron Microscope (FIBSEM) data set. Learn more
How to use deep learning models in AmiraAvizo2D Analyzer
Recipe ISP, IVP, A2D, Deep learning model, Data
3 Oct 2019 - Examples showing how to use AI (deep learning models) in an Analyzer recipe (hxisp) Learn more
Getting Started with Deep Learning Training for Image Segmentation
Deep learning model, Data
5 Sep 2019 - This is a model and companion project for the Deep Learning tutorial. Learn more
Getting Started with Deep Learning Training for Image Segmentation
Deep learning model, Project (hx, pgo), Data
27 Jun 2019 - Model and companion project for the Deep Learning tutorial. Learn more
Deep learning model
21 Jun 2019 - U-Net model for denoising back-scattered SEM images. Learn more