Image segmentation is usually the biggest challenge in image analysis as segmentation lays the foundation for subsequent image analysis steps like data extraction and quantification. Conventional threshold-based image-segmentation methods frequently require a specialized workflow using a combination of digital filters and tools. Moreover, there are datasets where threshold-based methods struggle or fail to generate meaningful results (e.g., images with low signal to noise ratio).
Machine learning, on the other hand, offers even non-experts the possibility to create robust and reproducible segmentation results easily. Moreover, machine-learning methods often yield good results with challenging images.
The software module ZEN Intellesis enables easy and precise segmentation of multidimensional images using supervised machine learning. ZEN Intellesis can be trained to identify objects within an image automatically. Through an easy to use, GUI based training interface, ZEN Intellesis enables non-experts to easily segment complex data sets without needing knowledge of machine learning. An end-to-end image analysis workflow from ‘Images to data’ can be created using Intellesis as the segmentation tool.
Join us for a free English webinar "ZEN Intellesis: Machine Learning for Image Analysis." held on 19 April 2020, from 2.30PM to 3.30PM to find out the basics of machine learning and provide an overview of ZEN Intellesis as well as a few of its applications.
In the 45-minute webinar, you will have a general introduction into Electron Microscopy (EM) for the Life Sciences, learn about state-of-the-art Correlative Light and EM workflows which are highly automated and efficient. Also, you will learn about the benefits of connected microscopy in your field. There will be a 15-minute Q&A session in the end for you to ask your questions.
Highlights of the webinar
- What is Machine Learning (ML)?
- It is extremely easy to train an ML classifier using ZEN Intellesis
- ZEN Intellesis is useful when traditional segmentation methods fail
- Applications across all microscopy modalities
Who should attend
- Academic researchers working with light microscopy and electron microscopy images
- Industrial users of microscopy and image analysis especially in quality control and failure analysis
- Undergraduate and graduate students pursuing a career in life science or material science
The registration for this webinar has been closed. Thank you for attending.
Dr Manoj Mathew obtained his bachelor’s and master’s degrees in Electronics Engineering and Photonics respectively from the Cochin University, India. He received his PhD in Bio-Photonics with a thesis on “Neuron Guidance and Nano-Neuro Surgery using optical tools” from ICFO-The Institute of Photonic Sciences, Barcelona, Spain.
After completing a post-doctoral fellowship at the University of Gothenburg, Sweden, Dr Mathew joined the National Centre for Biological Sciences (NCBS), Bangalore, to manage their light microscopy core facility. At NCBS, in addition to facility management responsibilities, he was involved in designing imaging systems and automation tools as well as collaborative projects with the industry.
Dr Mathew joined ZEISS in 2018 as a Light Microscopy Specialist. In this role, he provided application development and support for advanced light microscopy systems to the Asia Pacific (APAC) region. He is currently the Business Development Manager for Digital Services and Software for the APAC region. He is involved in creating and executing strategies, develop resources & competencies, design solutions, and explore creative ideas to promote digital innovations, software and allied services.