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Webinar on Image analysis and processing  

Webinars 25 February 2020

TWI FREE WEBINAR: Webinar on Image analysis and processing for the non-specialist with the ImageJ/Fiji freeware  

Brief introduction of theme of event

Engineers and scientists often need to analyse, process or even just open various image data in a wide range of file formats. For most formats and tasks, dedicated professional software will be available. However, licences may be prohibitively expensive for the occasional user, and the learning curves steep.

ImageJ/Fiji offers a free alternative for non-specialists with image processing tasks. This public domain, Javascript-based software is a versatile tool, with an extensive library of plug-ins which users have contributed over the years. Image measurements, format conversion, colourisation, segmentation, filtering, mathematical operations and script-based processing are all possible for both single images and image stacks. This webinar presents an overview of Fiji’s capabilities and some tips for getting started.

Benefits of attending event

  • Understand more about the fundamentals of digital images
  • Learn the basic functionality of the Fiji freeware
  • Become more capable of image analysis and processing tasks you may encounter

What type of audience should attend?

  • Engineers and scientists who work with image data
  • STEM students
  • Photography enthusiasts

Speakers

Jack Lambert  - Senior Project Leader - NDT

Jack Lambert

Senior Project Leader - NDT

Jack Lambert works in the R&D team within the Non-Destructive Testing section at TWI Cambridge. He specialises in ultrasonic testing (UT) and Phased Array UT, undertaking collaborative research, consultancy and site inspection projects. Jack also manages the operation of the 7-axis immersion tank, which is used for UT of varied large engineering components. Prior to joining TWI in 2017, he worked as a research scientist at the University of California, San Francisco, optimising medical Computed Tomography (CT) with the goal of reducing patient radiation dose. Before this Jack studied Aerospace Engineering (MEng 2008) and Materials Engineering (PhD 2012) at the University of Southampton. There, his industry-sponsored research explored fatigue damage mechanisms in wind turbine blade composites using micro-CT.

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