APR 05, 2022 10:00 AM PDT

Demystifying machine learning: driving image analysis using your biological knowledge

Sponsored by: Leica Microsystems
C.E. Credits: P.A.C.E. CE Florida CE
Speaker

Abstract
Date:  April 05, 2022
Time: 10:00am (PDT),  1:00pm (EDT), 7:00pm (CET)
 

Machine learning (ML) offers many benefits to researchers using a wide range of microscopy techniques. Easier workflows, segmentation of difficult to detect objects, and the ability to adapt as imaging and experiment conditions change are a few examples. These benefits enable researchers to focus on obtaining the insights that power scientific discovery.  

One hurdle that impacts the adoption of ML in image analysis workflows stems from the misconception that ML tools are  difficult to understand and complex to deploy. In this webinar, Aivia expert Quyen Tran, PhD, will tackle ML fundamentals and how to effectively deploy machine-learning in cancer and cell biology research. 

 
Learning Objectives
  • Discuss machine learning tools to easily segment objects of interest in cancer and cell biology images
  • Clarify the fundamental principles of training a ML-powered pixel classifier
  • Discover best practices for training an effective Pixel Classifier 
 
 
Webinars will be available for unlimited on-demand viewing after live event.
 
LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety.

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