Jonathan C Henriksen

US Patent:

20120257811, Oct 11, 2012

Filed:

Apr 9, 2012

Appl. No.:

13/442852

Inventors:

Gregory Metzger - Stillwater MN, US
Stephen C. Schmechel - Saint Paul MN, US
Stephen Dankbar - Eagan MN, US
Jonathan Henriksen - Eden Prairie MN, US

International Classification:

G06K 9/00

US Classification:

382133

Abstract:

A computerized method for immunohistochemistry analysis of tissue utilizes digital images of multiple adjacent tissue sections aligned within a computerized software and processed with an algorithm to quantify a two-dimensional IHC signature score for each respective slide image. In various embodiments, the IHC score is performed over several adjacent sections and further processed to produce a three-dimensional IHC quantification referred to as an IHC signature map.

US Patent:

20200250817, Aug 6, 2020

Filed:

Jan 8, 2020

Appl. No.:

16/736914

Inventors:

- Minneapolis MN, US
Gregory John Metzger - Lake Elmo MN, US
Joseph S. Koopmeiners - Edina MN, US
Jonathan Henriksen - Seattle WA, US
Stephen C. Schmechel - Longboat Key FL, US

International Classification:

G06T 7/00
G16H 50/20
G16H 30/20
G01N 33/574

Abstract:

Automated, machine learning-based systems are described for the analysis and annotation (i.e., detection or delineation) of prostate cancer (PCa) on histologically-stained pathology slides of prostatectomy specimens. A technical framework is described for automating the annotation of predicted PCa that is based on, for example, automated spatial alignment and colorimetric analysis of both H&E and IHC whole-slide images (WSIs). The WSIs may, as one example, be stained with a particular triple-antibody cocktail against high-molecular weight cytokeratin (HMWCK), p63, and a-methylacyl CoA racemase (AMACR).