Image analysis for biologists: 4-6 September 2013
The aims of this three-day residential course are to allow participants gain an understanding of image analysis approaches commonly used in the biological sciences, and confidence in applying them. The course comprises integrated lectures and computer-based practicals which will allow you to gain an understanding of image analysis approaches in a helpful, friendly environment.
The course will run from 10:00 on Wednesday 4 September until 16:00 on Friday 6 September at the Jubilee Campus of the University of Nottingham.
Target audience: PhD students and postdoctoral researchers with a biological background are particularly encouraged to attend, and no prior experience is assumed. Although many of the examples we use will be plant-based, we welcome applications from biologists from all sub-disciplines – you don’t have to be a plant scientist to attend.
Places are limited to 25 and applicants are asked to give their background and motivation for attending. Priority will be given to applicants who we think will benefit most from the course. We will review applications in the order that they come in, until all 25 places are full.
Thanks to support from CPIB and BBSRC, the 2013 course fee for students and the academic community is only £175 and this covers tuition, single en-suite accommodation for 2 nights, and all meals and refreshments. Payment details will be supplied when a firm offer of a place is made. To discuss the fee for industrial participants please contact Susie Lydon (firstname.lastname@example.org).
Wednesday 4 September:
AM Introduction to images and image analysis
PM Improving image quality
Thursday 5 September:
AM Finding objects in images
PM Measuring biological objects
Friday 6 Septmber:
AM Motion & Growth
PM Academic and industrial applications and experiences
Course Organisers: Tony Pridmore (University of Nottingham), Andy French (University of Nottingham) & Rob Lind (Syngenta), .
Tony Pridmore is Reader in Computer Science at the School of Computer Science, University of Nottingham. His research interests centre on image analysis and computer vision, particularly motion analysis and tracking and their application to bioimage analysis. He is a founder member of the Interdisciplinary Computing and Complex Systems research group and a Domain Director (Data Capture and Management) of the Centre for Plant Integrative Biology. CPIB has developed a range of novel image analysis techniques and associated software tools to support plant systems biology and phenotyping.
Andy French is Lecturer in Bioimage Analysis at the University of Nottingham (School of Computer Science and School of Biosciences). His background is in the analysis of biological images, in particular images of plants from the cellular to field scale, captured at the Centre for Plant Integrative Biology. Within Computer Science, he is part of the Interdisciplinary Computing and Complex Systems (ICOS) research group.
Rob Lind is an Imaging Technology Specialist at Syngenta whose role is to advise on and implement image capture, processing and analysis within a wide range of applications. Syngenta is focused on bringing plant potential to life and the requirement to turn images into non-subjective, quantitative data has increased greatly over the last few years. Many of the projects involve imaging plants at the microscopic, laboratory, glasshouse, and field spatial scales. He has practical experience in plant phenotyping and development of image analysis workflows in open-source software tools such as imageJ. He leads the image analysis network within Syngenta to coordinate imaging activities across the company and has published and spoken on the subject externally.
Places on the Sept 2013 course have been offered.
We are also holding the Second International Workshop on Image Analysis Methods in the Plant Sciences 2-3 September 2013.