Artificial Intelligence in Microscopy

Real World Applications for Medical and Life Sciences in Research and Routine Diagnostics

Image analysis is one of the biggest challenges faced by today’s microscopists, especially in the fields of Medical and Life Science. In an age where high-throughput imaging is becoming more and more accessible, however, the question remains: What information to extract from the images, and how?

Machine learning techniques have shown huge potential for image segmentation and recognition and are often able to go a step beyond traditional image analysis methodologies. Pixel-based segmentation and classification, as well as deep neural networks (DNNs), are examples of popular machine learning tools taking advantage of deep learning methodologies to process and analyse images from different microscope modalities for highly specific and customizable applications.

In this webinar presented by ZEISS Australia/New Zealand and MetaSystems Asia, you will learn through real-world examples in research and routine diagnostics about the possibilities how machine learning is changing the game for microscopy through ZEISS Intellesis and MetaSystems DNN powered software solutions.

Key Learnings

  • Artificial Intelligence opens new possibilities for the automated processing and analysis of microscopic images, which were previously difficult or impossible
  • ZEISS Intellesis and APEER

  • MetaSystems DNN for high throughput microscopy


Dr. Shannon Das

Application Specialist, ZEISS Research Microscopy Solutions, ANZ 
Shannon obtained his PhD from The University of Sydney in 2019, where he studied the oxidative stress pathways leading to cataract formation. To further his knowledge of ocular diseases and oxidative stress, he undertook postdoctoral training at The John Curtin School of Medical Research. In 2020, he joined the ZEISS ANZ team as a product application specialist in light microscopy.​

Mr Benjamin Ching

Director & Strategic Applications, MetaSystems Asia Co. Ltd., Hong Kong, China
Mr Benjamin Ching has more than 15 years of experience with automated image analysis and high throughput automated scanning. He also has an extensive knowledge of applications development and implementation in the JAPAC region and is fluent in microscopy applications and molecular genetics.

Register to view on-demand webinar now!