Part of the Oxford Instruments Group
Expand
Date: 20.10.2020
Upcoming Webinar: Relate Software

Relate: Correlative Data Visualisation & Analysis 

Webinar: 20th October 2020 

There is an increasing need to use a variety of microscopy techniques to determine the structure, composition, and materials properties of a sample and to correlate this data. Oxford Instruments has recently released Relate, a data processing software providing dynamic visualisation and analytical tools for detailed interrogation of correlative microscopy results. This webinar will give participants a chance to see the correlation of EDS, EBSD, EM, and AFM data on a variety of materials and life science applications, including duplex steel, battery material, and biomedical implants.

Key learning objectives: 

Register now

We have two sessions for you to choose from. Simply pick your preferred time and save your space today.

*Note: below times are in UK  
9:00 - 10:00 AM BST 3:00 - 4:00 PM BST
Louise Hughes

Presenter: Dr. Louise Hughes

Dr. Louise Hughes is Product Manager for Life Sciences at Oxford Instruments NanoAnalysis. Prior to this, she was the facility manager of the Oxford Brookes University Bioimaging unit. Louise specialises in 3D electron microscopy and has been a biological electron microscopist since 2000. Her research focus has been on optimising biological sample preparation, methodology, and imaging techniques across a wide range of sample types. She has extensive experience in SBFSEM, array tomography, electron tomography, and 3D data reconstruction. Her current work involves applying EDS to biological samples. Louise has also been involved in science outreach, using microscopy art and 3D printing to engage audiences from all ages in the fascinating miniature worlds around us.

Relate Software

Relate is a correlative software package optimised to work with EM, EDS, EBSD, & AFM data and images.  It provides the tools you need to correlate data from different microscopes, visualise multi-layered data in 2D and 3D, and conduct correlative analyses.

Find out more