Video

Leverage Machine Learning For Faster High Content Analysis

Source: Cytiva

Traditional high content analysis relies heavily on manual identification of phenotypic subpopulations, a method that is tedious, sensitive to user bias, and often poor at differentiating subtle phenotypic differences. Hear how scientists from the University of Washington are using the Phenoglyphs™ machine learning module for IN Carta™ image analysis software to automate and simplify this complex process for faster high content analysis.

VIEW THE VIDEO!
Signing up provides unlimited access to:
Signing up provides unlimited access to:
  • Trend and Leadership Articles
  • Case Studies
  • Extensive Product Database
  • Premium Content
HELLO. PLEASE LOG IN. X

Not yet a member of BioProcess Online? Register today.

ACCOUNT SIGN UP X
Please fill in your account details
Login Information
I'm interested in newsletter subscriptions.
ACCOUNT SIGN UP

Subscriptions

Sign up for the newsletter that brings you the industry's latest news, technologies, trends and products.

You might also want to: