Combining multimodal microscopy data using Relate

Multimodal microscopy combines several microscopy modalities to visualise the same sample. This approach combines the advantages of different methods, creating datasets with structural, physical, and chemical information. The samples are imaged using different microscopes, which creates a challenge for correlating, visualising, and analysing these datasets in a user-friendly manner.

Relate is a software package that is optimised for tackling that challenge, while being easy to learn for new users. Data collected from different microscopes is imported and visualised in multi-layered 2D or 3D displays. The correlation workflow uses image features for combining the matching datasets using an interactive interface. The highly customisable visualisation tools are key for interpreting multimodal datasets. The overlayed data can be rendered as image composites with customisable display options. The data analysis tools for measuring and quantifying a wide range of parameters can be used across the different layers and easily exported.

In this tutorial you will learn how to load multimodal microscopy datasets as Relate studiables and correlate the images for display and analysis..

You will learn how to:

  • Customise Relate documents
  • Load & display data in 2D & 3D
  • Correlate multimodal data
  • Extract analytical data from your multimodal datasets
Watch on demand
Watch on demand
On Demand
Time:

On Demand

Duration:

1 Hour

Language:

English

Businesses:

NanoAnalysis

Speaker

Pedro Machado - Oxford Instruments
Product Manager

Pedro Machado started as an electron microscopist in life sciences in 2008, as a research technician at Instituto Gulbenkian de...


 

Correlative microscopy is an exciting technique with several challenges in acquiring and analysing data. Relate, our correlative data analysis software, enables you to correlate images from various microscopes with flexible display options for viewing multiple images together. Discover more in our step-by-step blog for correlative data analysis.