Image Processing and Visualisation with LithoGraphX

PrerequisitesNew

LithoGraphX is a software to visualize, process and analyse 3D images and meshes.

On the first day of this course, we will demonstrate how to use LithoGraphX to visualize, clean and process 2D and 3D images. We will cover: (i) how to extract cell shape from 2D or 3D images by marking the cell wall or membrane, (ii) how to extract key morphological features and (iii) how to use these features to build a cell classifier. The first day is intended for biologists and computer scientists interested in using LithoGraphX.

On the second day, we will see how to write and distribute extensions to LithoGraphX. To this purpose, we will learn more about the internals of LithoGraphX and its API both in C++ and Python. The second day is intended for computer scientists wanting either to write their own algorithm or automate complex protocols.

Participants can choose to register for both days or for individual days, depending on their interest and background knowledge.

The timetable for this event can be found here.

This course is organized in collaboration with Dr Susana Sauret-Gueto from the OpenPlant Lab of the Department of Plant Sciences of the University of Cambridge.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

• Day1 is intended for biologists and computer scientists interested in using LithoGraphX. Some experience in imaging is desirable but not required.
• Day2 is intended for computer scientists wanting either to write their own algorithm or automate complex protocols. Basic python knowledge and familiar with C++ are required.
• Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
• Further details regarding eligibility criteria are available here
• Further details regarding the charging policy are available here

• Day 1: Some experience in imaging is desirable but not required
• Day 2: Basic python knowledge and familiarity with C++

Number of sessions: 2

Bioinformatics, Biological imaging, Data handling, Data visualisation

After this course you should be able to:

• Use the LithoGraphX user interface and find help
• Perform automated and manual cleaning, preprocessing and 2/3D segmentation using LithoGraphX
• Build and use a cell classifier with LithoGraphX
• Write a process in LithoGraphX
• Prepare and compile a source package as well as prepare a binary package

During this course you will learn about:

• Software: LithoGraphX and FiJi
• Methods: image visualization, preprocessing and segmentation, feature extraction, basic machine learning
• Development: internal data structures of LithoGraphX, plugins and packages in C++ and Python

Presentations, demonstrations and practicals

Two full day sessions

A number of times per year