US 12,437,027 B2
Microscopy system and method for generating training data
Manuel Amthor, Jena (DE); and Daniel Haase, Zöllnitz (DE)
Assigned to Carl Zeiss Microscopy GmbH, Jena (DE)
Filed by Carl Zeiss Microscopy GmbH, Jena (DE)
Filed on Oct. 5, 2021, as Appl. No. 17/493,915.
Claims priority of application No. 10 2020 126 610.3 (DE), filed on Oct. 9, 2020.
Prior Publication US 2022/0114387 A1, Apr. 14, 2022
Int. Cl. G06F 18/214 (2023.01); G02B 21/36 (2006.01); G06F 18/20 (2023.01); G06F 18/2431 (2023.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06V 10/44 (2022.01); G06V 10/75 (2022.01); G06V 10/94 (2022.01)
CPC G06F 18/214 (2023.01) [G02B 21/365 (2013.01); G06F 18/2431 (2023.01); G06F 18/285 (2023.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06V 10/44 (2022.01); G06V 10/7515 (2022.01); G06V 10/95 (2022.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A microscopy system for generating training data for a machine learning model, comprising
a microscope configured to capture an image; and
a computing device configured to
generate a segmentation mask based on the image;
adjust a pattern described by a parameterized model to the segmentation mask;
generate an updated segmentation mask using the adjusted pattern; and
incorporate the updated segmentation mask or an image derived from the same in the training data.