Comparison of stain co-localization in IHC sequential cuts and true co-expression in mIF images from Polaris
COMPARISON OF STAIN CO-LOCALIZATION IN IHC SEQUENTIAL CUTS AND TRUE CO-EXPRESSION IN MIF IMAGES FROM POLARIS
Date: 8 April 2021
Time: 8:00 – 9:00 PST | 11:00 – 12:00 EST | 4:00 PM – 5:00 PM BST
The webinar will cover a workflow for performing stain co-localization analysis in sequential IHC cuts through color deconvolution, slide registration, and cell-type classification, including export using registered coordinates. The resulting co-localization output will be compared and contrasted to true co-expression on a single slide using mIF techniques (Polaris).
- Color deconvolution on IHC
- Slide registration
- Cell classification in IHC
- Object-level data export
- Cell classification in mIF (Polaris)
Máté Levente Nagy, PhD,
Principal Scientist and Associate Director of Digital Pathology
Máté Levente Nagy, PhD, is Principal Scientist and Associate Director of Digital Pathology at NeoGenomics, in Aliso Viejo, CA. He works on the development of workflows and processes to introduce greater levels of automation and higher accuracy results for NeoGenomics’ MultiOmyx platform, as well as other tissue-based image analyses performed at NeoGenomics.