Method for splitting one or more images of a sample into image data split according to dyes, computer program, computer-readable medium storing the program and system for performing the method

US11430232B2 · kind B2 · utility

Assignee

• Carl Zeiss Microscopy GmbH · DE

Inventors

• Manuel Amthor · Jena, DE
• Daniel Haase · Zöllnitz, DE
• Ingo Kleppe · Jena, DE

Key dates

• Filing date: Feb 25, 2019
• Grant date: Aug 30, 2022
• Expiry date: May 28, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30024
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

One or more images of a sample may be split into image data split according to dyes. The sample has at least two different dyes, in particular fluorescent dyes. The method for splitting the one or more images includes providing the one or more images of the sample and inputting the one or more images into a machine learning system. The method then includes generating the image data split according to dyes from the image or the images, using the machine learning system. The machine learning system removes at least one partial structure of the sample that is present in the image data split according to dyes of more than one dye from the image data of one or more dyes.