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AI-powered Bioimage Analysis

Advancing Biotech Research

ON DEMAND WEBINAR

AI-Powered Bioimage Analysis to Advance your Research

In this webinar you will learn about:

  • Machine Learning vs. Deep Learning
  • Streamlined workflows
  • Benefits and applications of AI in image analysis for life sciences

To gain deeper insights into how AI can help accelerate your biotechnology research, sign up and watch our free webinar.

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Harness the Potential of AI for your Bioimage Analysis 

Join our informative webinar to discover the transformative power of AI-based microscopy image analysis in the field of biotechnology research. This session aims to provide participants with a comprehensive overview of the benefits and applications of AI in BioImage analysis, with a particular emphasis on image segmentation and denoising tasks.

Throughout the webinar, we will delve into the principles behind conventional machine learning and deep learning, illustrating their significance in Bioimage analysis. The webinar will also showcase a user-friendly ZEISS software, eliminating the need for coding skills to train custom models. This accessible tool empowers researchers to harness the potential of AI without barriers, offering a streamlined workflow and expedited analysis process. A highlight of the webinar will be a comparative analysis between results obtained from conventional machine learning and deep learning models trained on the same dataset. This examination aims to elucidate the unique advantages of deep learning techniques in BioImage analysis. 

Register now to explore the fascinating world of AI-driven bioimaging and its implications for accelerated discovery and improved therapeutic outcomes.

SPEAKER

Sreenivas Bhattiprolu Ph.D.

Head of Digital Solutions at ZEISS Microscopy

Dr. Sreenivas Bhattiprolu's team at ZEISS focuses on solving tough microscopy challenges by leveraging the latest advancements in digital technology and artificial intelligence. Dr. Bhattiprolu has over 25 years of experience in microscopy. He received his Doctorate in Materials Sciences and Engineering from Michigan Technological University and earned his Master’s degree in Physics from the University of Hyderabad.

 

Time:

On Demand

                        Dr. Sreenivas Bhattiprolu

 

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The Benefits of AI for Image Analysis

Handling Large Datasets The Deep Learning enables you to handle and analyze large quantities of data quickly.
Reliable Complex Analysis Despite the intricate details, the model allows for repeatable, reliable results.
Reproducability You can apply your model to future images knowing you will get consistent results.
Automation and Integration Easily integrate your AI-trained models into end-to-end image analysis pipelines.