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
Python (pyscro)
29 Mar 2021 - AddDataToPointCloud writes data defined on mesh-nodes into a point-cloud with an equal number of points. Together with the "PointCloudToSpreadsheet" Xtra, this module can be used, for example, to export the results created by the Surface Distance module. Learn more
Python (pyscro), Project (hx, pgo)
29 Mar 2021 - The Extract Oriented Labels module extracts every label from the input label image, and resamples each image along its own main orientations (or eigenvectors). Learn more
Tcl
8 Mar 2021 - This Xtra contains a script module to fit molecular models to density maps, a process frequently called "docking". Learn more
Image Segmentation Evaluation Using Standard Metrics
Python (pyscro), Project (hx, pgo)
8 Mar 2021 - Segmentation evaluation using standard precision, and recall metrics for comparing two segmentation labels. Learn more
Getting Started with Flatten Module
Project (hx, pgo), Demo
8 Mar 2021 - This tutorial demonstrates use of the Flatten experimental module to create interactive contours by defining the unfolding surface while respecting the constraints of the module inputs. Learn more
Demo, Misc
24 Feb 2021 - This video tutorial demonstrates how to deal with visualization of large datasets. Learn more
Patch Extraction Tools for Deep Learning Data Preparation
Python (pyscro)
22 Feb 2021 - A set of tools dedicated to the preparation of data for training Deep Learning models and reducing annotation time. Learn more
Efficient Graph-based 2D Image Segmentation
XPand module
12 Feb 2021 - This Xtra implements efficient graph-based image segmentation by Felzenszwalb and Huttenlocher. Learn more
Python (pyscro)
22 Jan 2021 - This Python script-object allows you to convert a point-cloud object to a spreadsheet object. 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
Multi-Component Analysis of X-ray Computed Tomography Datasets
Recipe (hxrecipe), Project (hx, pgo), Demo, Data, Misc
4 Jan 2021 - The following videos and training material detail the steps taken to automate the analysis of multiple parts in a single X-ray CT volume. Learn more
Python (pyscro), Data
4 Jan 2021 - This module performs an adaptive global thresholding of the input image by computing a deviation from the mean of its grayscale values. Learn more
Tcl
17 Nov 2020 - This module creates a spreadsheet that contains the measurement and annotation data (generated with the Measurement tool) that can be used for further analysis. Learn more
Recipe ISP, IVP, A2D
17 Nov 2020 - A recipe for applying a Marker Based Watershed (as in the Segmentation Editor) from the Project View. Learn more
Automatic Extraction of Transparent Surface Cross Section
Python (pyscro), Project (hx, pgo)
20 Oct 2020 - A module for creating partially transparent capping surfaces. Learn more
Auto Threshold for Multi-Thresholding
Tcl
19 Oct 2020 - The combination of Auto Thresholding and Multi-Thresholding makes it easy to create precise surfaces without additional smoothing, using the Generate Surface's smoothing option "Existing Weights". Learn more
Python (pyscro)
19 Oct 2020 - This Xtra creates a volume projection along any orthogonal axis using arithmetic operations. Learn more
Explode Surface Animation Script
Tcl
5 Oct 2020 - A script that will animate the expansion of pieces of a surface. Contains the script, documentation, an example surface, and a video of the finished result. Learn more
Apply a Recipe on a Batch of Files
Recipe (hxrecipe), Tcl
25 Aug 2020 - Apply a recipe to a batch of files and save the results in an output directory. Learn more
Tcl
24 Aug 2020 - A module that allows you to filter particles selectively, based on their contact with each border of the image. Learn more