SuRVoS2 is an open-source and user-friendly collection of tools which accelerate annotation and segmentation of large volumetric datasets. It enables either shallow or deep machine learning approaches, using a suite of image processing filters, supervoxels (boundary adherent groupings of similar, adjacent voxels), and annotation hierarchies. SuRVoS2 also provides tools for visualisation and interaction with large numbers of distributed annotations (e.g., those performed by multiple members of a group or citizen scientists).

The workshop will demonstrate basic usage of our annotation and segmentation workflows, and guide participants through applying SuRVoS2 to their own datasets. This workshop will be different than previous years, with a small size and focus on 1-1 tutoring. There will be 1 morning session and 1 afternoon session with 6 attendees each. For the workshop, attendees can send data ahead of time for loading into a version of SuRvoS2 running on a cloud VM or they can use their own laptops (having pre-installed SuRVos2).

Participants with their own datasets should prepare their images as single stacks of TIFF or HDF5 images cropped to their region-of-interest. No image segmentation or programming experience is required to participate in this workshop

IMPORTANT. You will need to work from your own laptop due to computer room availability. The minimum specifciation is: I5 or higher processor, with greater than 16GB of RAM and a recent Nvidia Graphics card

For the install click here and follow the INSTALL.txt for installation instructions.

SuRVoS2 is an open-source and user-friendly collection of tools which accelerate annotation and segmentation of large volumetric datasets. It enables either shallow or deep machine learning approaches, using a suite of image processing filters, supervoxels (boundary adherent groupings of similar, adjacent voxels), and annotation hierarchies. SuRVoS2 also provides tools for visualisation and interaction with large numbers of distributed annotations (e.g., those performed by multiple members of a group or citizen scientists).

The workshop will demonstrate basic usage of our annotation and segmentation workflows, and guide participants through applying SuRVoS2 to their own datasets. This workshop will be different than previous years, with a small size and focus on 1-1 tutoring. There will be 1 morning session and 1 afternoon session with 6 attendees each. For the workshop, attendees can send data ahead of time for loading into a version of SuRvoS2 running on a cloud VM or they can use their own laptops (having pre-installed SuRVos2).

Participants with their own datasets should prepare their images as single stacks of TIFF or HDF5 images cropped to their region-of-interest. No image segmentation or programming experience is required to participate in this workshop

IMPORTANT. You will need to work from your own laptop due to computer room availability. The minimum specifciation is: I5 or higher processor, with greater than 16GB of RAM and a recent Nvidia Graphics card

For the install click here and follow the INSTALL.txt for installation instructions.

Hands on session covering introduction to Dragonfly, visualization, various segmentation tools and analysis tools. Test data will be provided and 4 practical exercises will be performed by participants. New users are welcome, and existing users can join to learn some extra tricks & tips.

Deep learning tools will be demonstrated and practical experience gained by participants in using the segmentation wizard, pretrained models, modifying the deep learning training parameters for best results, and applying deep learning de-noising tools.

In situ experiments are becoming central to more and more tomography related research. In this workshop we will introduce you to the in situ capability available at Strathclyde (furnaces, load cells and flow cells) and to other cells that are available elsewhere across the XCT community (lab and synchrotron). We will cover the basics of experimental design to help those wanting to use in situ apparatus in the future, and have a discussion on the gaps in current cell availability and how these could be addressed.

In situ experiments are becoming central to more and more tomography related research. In this workshop we will introduce you to the in situ capability available at Strathclyde (furnaces, load cells and flow cells) and to other cells that are available elsewhere across the XCT community (lab and synchrotron). We will cover the basics of experimental design to help those wanting to use in situ apparatus in the future, and have a discussion on the gaps in current cell availability and how these could be addressed.

During this workshop, you will use IPSDK Explorer and discover:
- how to generate automatically 2D/3D/4D Image Processing Python scripts without needing Python knowledge or needing to type code lines
- how to process your datasets either using traditional Image Processing features or based on Machine Learning for (1) Pixel or SuperPixel segmentation (2) Object classification

During this workshop, you will use IPSDK Explorer and discover:
- how to generate automatically 2D/3D/4D Image Processing Python scripts without needing Python knowledge or needing to type code lines
- how to process your datasets either using traditional Image Processing features or based on Machine Learning for (1) Pixel or SuperPixel segmentation (2) Object classification

In this hands-on masterclass you will learn some secrets to make the best of Thermo Scientific™ Avizo™ Software with CT datasets. The course will start from basics all the way to the newest features. The course will cover data visualization, segmentation and measurement, and how to make presentations and movies in Avizo Software.

This is an interactive workshop, so upon registration you will receive access to Avizo Software on the cloud for the day of the workshop, to replicate what the trainer is doing.

System requirements: laptop capable of connecting to the internet with an external mouse (preferable).

You will receive a certificate of completion for attending this course.

In this hands-on masterclass you will learn how to label your data, train the neural network and apply Deep Learning algorithms on your datasets. You will also learn how to apply Deep Learning algorithms to common CT users' challenges. If you are not familiar with Avizo Software, we recommend following the morning session to be up to speed.

This is an interactive workshop, so upon registration you will receive access to Avizo Software on the cloud for the day of the workshop, to replicate what the trainer is doing.

System requirements: laptop capable of connecting to the internet with an external mouse (preferable).

You will receive a certificate of completion for attending this course.