eLearnAfrica
Introduction to Image Analysis for Plant Phenotyping
The University of Nottingham
  • Start Date: 16 May, 2022
  • 6 weeks
  • Study Content: Videos


Understand the basics of image analysis and learn how to collect, manipulate, and analyse data from images for plant phenotyping.

Course Fee: Free
Certificate Cost: See Fees and Eligibility
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Course Description

Delve into image analysis and its practical application in plant phenotyping


This six-week course from the University of Nottingham will introduce you to the fundamentals of image analysis and its applications in plant phenotyping.


You’ll learn how to use imaging technologies to collect data from images and perform detailed analyses. By the end of the course, you’ll be able to extract meaningful information from image data without any destruction or harm to the subjects of your study.


Discover how to use Python programming for data analysis in Fiji


You’ll develop your skills using Fiji, also known as ImageJ.


With the help of your educators, you’ll discover how to use Python to perform simple imaging tasks in Fiji. You’ll learn from the ground up, starting with Python basics, such as if statements, for and while loops, and work your way to setting pixel values and dilating regions in code.


Learn how to use image segmentation and noise reduction for image processing


While image processing and analysis is transforming the world of bioscience, there are still significant challenges and bottlenecks to progress. One of these consistent challenges is image quality.


On this course, you’ll learn to combat poor image quality through techniques such as noise reduction and removal, image segmentation, and filtering. You’ll even learn to reconstruct 3D images and motion video in order to find meaningful data.


Study with the experts at the University of Nottingham


The educators at the University of Nottingham are experts in their field, with experience in developing novel image analysis and image-based plant phenotyping methods.


With their professional insight and guidance, you’ll be empowered to continue the evolution of plant phenotyping through image analysis.


This course is designed for researchers and professionals working in the field of plant phenotyping.


It will also be beneficial for those working in bioscience disciplines who want to learn more about image analysis and its applications.


Any software needed for the course is available to download for free and introduced as part of the course content.


    • Certificate cost may vary. You will be redirected to the host page for cost and payment options.

    • The University of Nottingham

      The University of Nottingham is committed to providing a truly international education, inspiring students, producing world-leading research and benefiting the communities around campuses in the UK, China and Malaysia. The purpose of the University is to improve life for individuals and societies worldwide. By bold innovation and excellence in all that it does, the University makes both knowledge and discoveries matter.

      The University of Nottingham has 42,000 students at award-winning campuses in the United Kingdom, China and Malaysia. It was ‘one of the first to embrace a truly international approach to higher education’, according to the Sunday Times University Guide 2013. It is also one of the most popular universities among graduate employers, one of the world’s greenest universities, and winner of the Times Higher Education Award for ‘Outstanding Contribution to Sustainable Development’. It is ranked in the UK’s Top 10 and the World’s Top 75 universities by the Shanghai Jiao Tong and the QS World Rankings.

      More than 90 per cent of research at The University of Nottingham is of international quality, according to the most recent Research Assessment Exercise. The University aims to be recognised around the world for its signature contributions, especially in global food security, energy & sustainability, and health. It won a Queen’s Anniversary Prize for Higher and Further Education for its research into global food security.

       

    • You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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