If you are working with immunohistochemistry (IHC) you know how challenging it can sometimes be to optimize all the steps in the process to obtain a high-quality stain. It often takes testing different antibodies, antibody concentrations, antigen retrieval methods, and incubation times.
What if there was a way to produce an IHC stain virtually, without antibodies or even the need to step into the lab?
Today’s episode’s guest is Victor Dillard, the commercial operation director of Owkin.
Owkin is a company leveraging artificial intelligence and machine learning for medical image analysis and its offering includes virtual immunohistochemistry staining. We talk about how it was developed, how it works, and how it can be deployed at interested institutions.
To learn more about Owkin visit https://owkin.com/
This episodes resources:
 Deep learning-based classification of mesothelioma improves prediction of patient outcome
Digital Pathology Place
Aleksandra Zuraw, DVM, Ph.D., Dipl. ACVP
Digital Pathology Place provides strategic advice on implementation and optimisation of digital pathology solution. Our educational content for marketing and tutoring purposes can help you to inspire your customers. We share significant knowledge gained during our long-term work with image analysis engineers, quality control and regulatory experts as well as academic and industry partners.
