Differential Interference Contrast (DIC) Image Segmentation and Quantification using Deep Learning
Add-on How-to

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
Add-on

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
Add-on How-to

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
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How to use deep learning models in AmiraAvizo2D Analyzer

Recipe ISP (hxisp,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
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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
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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

BSE SEM denoiser
Add-on

BSE SEM denoiser

Deep learning model

21 Jun 2019 - U-Net model for denoising back-scattered SEM images.  Learn more